FORM-2
THE PATENTS ACT, 1970
(39 OF 1970)
AND
THE PATENTS RULES, 2003
(As Amended)
COMPLETE SPECIFICATION (See section 10; rule 13)
"System and Method for Optimizing the Performance of a Network"
Tata Teleservices Ltd., an Indian Company, of A, E and F Block, Voltas House, T.B. Kadam Marg, Chinchpokli, Mumbai.
The following specification particularly describes the nature of this invention and the manner in which it is to be performed:

Technical Field
The present invention relates to a system and method for optimizing the performance of a network and more particularly for monitoring performance of a radio communication network (Global System for Mobile Communication) based on key performance indicators (KPIs).
Background
In the last few years, an extension of wireless communication networks all over the world has occurred. There exists several different network system solutions such as the European Global System for Mobile communication (GSM), US equivalent thereof (GSM 1900), North American TDMA, CDMA and the like which are used in these wireless communication networks. The management of these various communication networks is vital for the fast and efficient working of the network so that fool proof services are delivered from the service providers to the customers.
Telecommunications Management Network (TMN) model provides a widely accepted view about how the business of a service provider is to be managed. It consists of four layers with business management at the top, service management the second layer, network management the third layer and element management at the bottom. The management decisions at each layer are different but related to each other as each layer imposes requirements on the layer below and each layer provides important source of data to the layer above. In addition to TMN, the TMF also defines a Telecom Operations Map. Telecom and data service providers must apply a customer oriented service management approach using business process management methodologies to cost effectively manage their businesses and deliver the service and quality customers require. In the current cellular systems, the radio resources are handled with numerous parameters, wherein the parameter

value settings are fixed even in changing conditions. The task of an operator is to manually tune the parameter settings to meet the right operating point in terms of quality and service. This tuning is easy in simple GSM networks with pure speech services. In case of WCDMA, the complexity of these parameters is manifold with multiple services, service classes, multi radio environment. For an operator, it is essential to utilize all possible resources to improve the capacity and Quality of Service (QoS) of the radio network.
In the field of mobile communication, 'drive testing' is a technique used by network operators to determine the performance of a so-called home network. Drive testing involves sending road-vehicles into cell coverage areas of networks to test signal strength. Since the road vehicles are equipped with costly and bulky equipment, which is used to test the signal strength and provide other metrics. Drive testing is a procedure that is labor intensive and not comprehensive. Since radio frequency is undersampled in time but in case of drive testing, radio frequency is undersampled in space also, since major roads are not driven their entire length and only some of the minor roads are driven. Consequently, drive testing misses all locations without a road, for example parks, stadiums, homes, offices etc. The absence of testing in such areas is disadvantageous as users of communications terminals are likely to be located in such areas. Similarly, users are less likely to reside in areas covered by a given drive test. Additionally, regardless of the position or location of the mobile terminal on the globe, it is desirable for the network operators to possess information concerning performance of a given network in which the given mobile terminal is located when used.
A network optimizing process serves to improve the overall network quality to ensure an efficient use of the network resources. The optimizing process includes the analysis of the network and improvements in the network configuration and

performance. All the cellular wireless operators have a process to monitor the performance of the network and have a mechanism to monitor the Managed services vendor's performance. Statistics of key performance indicators for the operational network are fed to a tool for analyzing the network status and radio resource management parameters can be manually tuned for the better performance. The key performance indicators are defined in the initial phase of the optimization process. However the process is static and has loop holes which a Managed services vendor can use to their benefit. These loop holes allows the vendor to misinterpret the data and show better performance, vendor can significantly improve the KPIs by changing some database settings and get away from penalty/ get rewards, KPIs target is not dynamically change (it is not continuous improvement), if the past KPIs are bad the target set will also be soft, some KPIs can be improved at expense of other incase the other KPI is above target. Once good performance is achieved, the target can be relaxed/made aggressive and the band (tolerance levels) of the targets are static.
There are various systems and methods devised for optimizing the performance of a radio communication network.
US 7136638 disclose a method, system, device and computer program product are provided for analyzing a cellular wireless communication network of a first type. For analyzing the cellular wireless communication network of the first type, communication connection condition parameters for one cell are measured, which communication connection condition parameters are derived from signals received by a mobile station from the one cell and from a plurality of other cells. The communication connection condition parameters are transmitted to a network control element in the form of mobile measurement reports. A network analysis functionality associated with the network control element processes the mobile measurement reports and evaluates, on the basis of processing results, a potential

of the one cell for a usage in a wireless communication network of a second type, and/or estimated network parameters of the wireless communication network of the second type, like network performance or network dimensioning. This is repeated in all other cells in the wireless communication network of the first type.
US 2007/0123250 disclose a method of monitoring performance of a communications network supporting a plurality of communications devices comprises providing a number of the plurality of the communications terminals with respective software agents to make respective measurements in relation to an attribute of a communications service supported by the communications network. The number of the plurality of communications terminals is equipped with position determination capabilities so as to provide global position information with respect to a measurement made. The measurement made and the corresponding location is communicated to a performance processing application that supports a database and stored by the performance processing application in the database, thereby recording a representation of a variation of the attribute of the communications service with respect to location.
US 2004/0266442 disclose a method and system for optimising the performance of the network. First of all, the relevant key performance indicators for a specific entity within the network as well as first parameters, which influence the key performance indicators, are determined. A number of entities similar to said specific entity is selected, wherein relevant key performance indicators are associated to every entity. The key performance indicators as well as the selected number of entities are used as elements in a first cost function., i.e. said first cost function is calculated on the basis of the KPIand the number of entities. Said first cost function is calculated in order to evaluate the network performance. Accordingly, since said first parameters directly relate to the key performance

indicators, the network performance will depend on the values of said first parameters. Thereafter the values of said first parameters are adjusted, so that a second set of values of said first parameters are obtained. The key performance indicators are determined again but this time on the basis of the second values of said first parameters and said first cost function is recalculated on the basis of these key performance indicators. The result of said first cost function calculated on the basis of said first values of said first parameters is compared to the result of said first cost function recalculated on the basis of said second values of said first parameters. This comparison is carried out to determine whether the network performance has improved. When the network performance has improved due to the adjusting of said first parameters, said second values of said first parameters are adopted as permanent parameters.
In the above-mentioned prior art there are loop holes that need to be plugged and ensures that the Managed services vendor does not have a change to get away. There is a need of a dynamic process that sets aggressive targets for Managed services vendor. Once good performance is achieved that should become benchmark in the new system so it can only improve. Once the good performance is achieved, the band (tolerance levels) also reduces as the target becomes aggressive making the target very stringent.
Objects and Summary
The object of the present invention is to provide a system and method for optimizing the performance of a radio communication network.
It is an object of the present invention to provide a system and method for optimizing the performance of a radio communication network based on key performance indicators.

It is also an object of the present invention is to improve the performance of a network by maintaining stringent target values of key performance indicators for the managed service vendors.
Another object of the present invention is to provide a system and method for updating the target value of key performance indicators weekly, monthly, quarterly, half-yearly or yearly.
Yet another object of the present invention to provide a system and method for awarding reward or penalty to managed service vendors.
Further object of the present invention is to provide an efficient and improved service to the customers by effective troubleshooting of the network.
It is also an object of the present invention to enable the managed service vendor to report their performance by timely reporting of the key performance indicators.
To achieve the aforementioned objects, the present invention provides a method for optimizing the performance of a radio network, said method comprising the steps of:
• determining relevant key performance indicators and their target value for a cell or a user group within the radio network;
• determining network parameters based on which the key performance indicators are calculated;
• calculating a value of the key performance indicators according to a pre-defined criteria as a current value;
• comparing the current value and the target value of the key performance indicators to determine whether the network performance has improved; and

• adopting the current value as a new target value of the key
performance indicators if the network performance has improved
based upon the network parameters used to calculate the key
performance indicators.
The present invention further provides a system for optimizing the performance of a radio network, said system comprising of:
• means for determining relevant key performance indicators and their target value for network service vendor and/or a cell within the radio network;
• means for determining network parameters based on which the key performance indicators are calculated;
• means for calculating a value of the key performance indicators according to a pre-defined criteria as a current value;
• means for comparing the current value and the target value of the key performance indicators to determine whether the network performance has improved; and
• means for adopting the current value as a new target value of the key performance indicators if the network performance has improved based upon the network parameters used to calculate the key performance indicators.
Brief description of the drawings
The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The same numbers are used throughout the drawings to reference like features and components.

Fig. 1 is an exemplary communication network illustrating the components of a network whose performance is optimized according to the present invention.
Fig. 2 is an illustration of graphical representation of moving average mechanism of DCR (Drop call Rate) according to the present invention.
Fig. 3 illustrates the criterion for awarding reward or penalty to the cellular vendor based on the values of KPIs according to the present invention.
Fig. 4 is an exemplary flowchart illustrating a method for optimizing the performance of a network according to the present invention.
Detailed description
System and method for optimizing the performance of a radio communication network is described. The system and method is not intended to be restricted to any particular form or arrangement, or any specific embodiment, or any specific use, disclosed herein, since the same may be modified in various particulars or relations without departing from the spirit or scope of the claimed invention herein shown and described of which the system and/or method shown is intended only for illustration and disclosure of an operative embodiment and not to show all of the various forms or modifications in which this invention might be embodied or operated.
The instant invention provides a system and method for monitoring the performance of radio access network particularly Global System for Mobile Communication (GSM) by the cellular vendors based on key performance indicators with reward and penalty mechanism for the managed service vendors (MS) who are responsible for maintaining and managing the performance of the network. The two sets of KPIs

which are adopted for monitoring the performance are accessibility and retainability. These KPIs are defined for each circle and for top cities which are calculated on quarterly basis based on certain network parameters. The new KPI target value is an average of daily achieved KPI values for the last quarter. There is an Upper cutoff limit (UCL) and Lower cutoff limit (LCL) defined for these KPIs to determine reward or penalty.
The instant invention can be adopted to any of the KPIs that needs to be monitored and is not limited to two KPIs as defined above. Wireless operator has a flexibility to adopt this method for any of RAN KPI which it needs to maintain/monitor.
The instant invention adopts two sets of KPIs for monitoring the performance. These two sets of critical KPIs are treated as Reward-Penalty KPIs. These KPIs achieved values forms the eligibility criteria for the reward and penalty mechanism as illustrated in Fig. 3. These KPIs carry certain weightage value that can be used during the calculation of Reward/Penalty. A total value of KPIs is maintained at 100, which can be added or eliminated as per requirement of monitoring network performance and this task is done once in a year. However, the total value of KPIs will be maintained at 100 by making appropriate adjustments.
The techniques described herein may be used in many different operating environments and systems. An exemplary environment that is suitable for practicing various implementations is discussed in the following section with respect to the accompanying figures.
Exemplary System
Fig. 1 is an exemplary communication system 100 illustrating the components of a network whose performance is optimized according to the present invention.

The system 100 comprises of a network monitoring center 102, such as a radio network controller or the like operable for managing radio resources within at least a portion of the wireless network 112. The network monitoring center may comprise at least one of any type of server, personal computer, mini computer, mainframe computer, or any special purpose or general computing device. Further, the modules and applications described herein as being operated on or executed by the network monitoring center 102 may be executed entirely on the network monitoring center 102 or alternatively, in other aspects, separate servers or computer devices may work in concert to provide data in usable formats to parties, and/or to provide a separate layer of control in the data flow between the communication device 110 and the modules and applications executed by network device 102.
The network monitoring center 102 has computer platform that can transmit and receive data across wireless network 112, and that can execute routines and applications. Computer platform includes a memory unit, which may comprise volatile and nonvolatile memory such as read-only and/or random-access memory (RAM and ROM), EPROM, EEPROM, flash cards, or any memory common to computer platforms. Further, memory unit may include one or more flash memory cells, or may be any secondary or tertiary storage device, such as magnetic media, optical media, tape, or soft or hard disk. Further, computer platform also includes a processing engine, which may be an application-specific integrated circuit ("ASIC"), or other chipset, processor, logic circuit, or other data processing device. The computer platform may further include a communications module embodied in hardware, firmware, software, and combinations thereof, that enables communications among the various components of the network monitoring center 102, as well as between the network monitoring center 102 and wireless network 112.

The memory unit of the network monitoring center 102 includes a network management and optimization configuration module executable by the processing engine and operable for maintaining the targets and calculation of KPI values based on various network parameters for the managed service vendor.
The mobile terminal 110 comprises a wireless communication device, such as a cellular telephone. The mobile terminal is connected to a network device 102 via a carrier network 104.
Wireless network 112 is merely exemplary and can include any system whereby remote modules, such as wireless communication devices 110 communicate over-the-air between and among each other and/or between and among components of a wireless network 112, including, without limitation, wireless network carriers and/or servers. In system 100, network monitoring center 102 can be in communication over a wired network (e.g. a local area network, LAN) with a separate data management server 114 for storing the network management and optimization configuration module and to provide post-processing capabilities, data flow control, etc. Network monitoring center 102, and/or data management server 114 communicate with carrier network 104 through the Internet, a secure LAN, WAN, or other network. Carrier network 104 controls messages (generally being data packets) sent to a mobile switching center ("MSC") 106. Further, carrier network 104 communicates with MSC 106 by a network such as the Internet, and/or POTS ("plain old telephone service") which transfers data, and the POTS portion transfers voice information. MSC 106 may be connected to multiple base stations ("BTS") 108 by another network such as a data network and/or Internet portion for data transfer and a POTS portion for voice information. BTS 108 ultimately broadcasts messages wirelessly to the wireless communication devices 110, by short messaging service ("SMS"), or other over-the-air methods.

The two main KPIs that are adopted for monitoring the performance of radio access network are accessibility and retainability. Accessibility is defined as subscriber perceived call set up success rate and it includes following parameters:
1. MSC (mobile switching centre) failures
2. RACH (random access channel) failures
3. SDCCH (standalone dedicated control channel) failures.
4. SDCCH (standalone dedicated control channel) blocks
5. TCH (traffic channels) congestion
6. TCH (traffic channels) failures
RACH channel is used by a MS to request an initial dedicated channel from the BTS. This would be the first transmission made by a MS to access the network and request radio resources. The MS sends an Access Burst on this channel in order to request access.
SDCCH channel is used for signaling and call setup between the MS and the BTS.
MSC performs switching and call control functions, and receives short messages from the SMSC for delivery to appropriate mobile subscriber.
The second KPI is Retainability is defined as subscriber perceived drop call rate and it includes following parameters:
1. Drops due to Radio frequency (RF)/handover/resource blocks
2. Drops due to interface failures
3. Drops due to equipment failures
These two sets of KPIs are defined for each top 100 towns and for circles excluding top towns. By way of example the list of top 25 cities along with the circles is illustrated in the table below.

Region
Circle City
North Delhi Delhi
TTML Maharashtra MUMBAI
East WestBengal Kolkatta
South AP Hyderabad
South Karnataka Bangalore
South TamilNadu Chennai
TTML Maharashtra Pune
West Gujarat Ahmedabad
West Gujarat Surat
West Rajasthan Jaipur
North UP(E) Lucknow
South Kerala Ernakulam
North Punjab Ludhiana
West Gujarat Baroda
South Kerala Trivandrum
South AP Vizag
South Kerala Calicut
South TamilNadu Coimbatore
West MP Indore
TTML Maharashtra Nagpur
West MP Bhopal
North Delhi Gurgaon
North UP(E) Kanpur
North Punjab Chandigarh
East Bihar Jamshedpur
The start target value along with upper cutoff limit and lower cutoff limit for each KPI is as follows:
• Subscriber perceived drop call rate (DCR)-
1. 1.2 % target +/-10 % of target for top cities
2. 1.5 % target +/-20% of target for circles
• Subscriber perceived call set up success rate (CSR)
1. 97% target +/-1% of target for top cities
2. 96% target+/-1% of target for circles
Each KPI is calculated for TCBH (Time Consistent Busy Hour) of the network and 100% cells are taken into consideration for calculation for each KPI. The KPI is

calculated on daily basis excluding week-end and holidays. There is a revision of the target values of these KPIs each quarter using moving average mechanism as . illustrated in Fig. 2.
The non performance criteria is determined based on the drop of the value of each KPI when it deteriorate below a certain critical limit and as a result of which x% of managed services amount is deducted in addition to normal reward/penalty against non performance. The value of KPIs for which non performance is determined is as follows:
• Subscriber perceived drop call rate (DCR)-
1. 2.4% for top cities
2. 3 % for circles
• Subscriber perceived call set up success rate (CSR)
3. 92% for top cities
4. 90% for circles
Fig. 2 illustrates the target revision of the KPI target value which is done by means of moving average mechanism according to an embodiment of the instant invention.
The KPI target value revision would be done every quarter. The new KPI target value is an average of daily achieved KPI values for last quarter. In case, achieved KPI value for any day is worse than existing KPI target then it shall be replaced with the existing target value during averaging out process. For example, in case DCR target value is 1.2% and at particular day in a quarter, achieved DCR is 1.5%, then during averaging out for new target this day DCR value shall be considered as 1.2% and not as 1.5%. If achieved DCR is 1.1% then it shall be taken as 1.1% for averaging out process.

New target for a KPI is calculated on weighted average of calls for a quarter. There is a Upper Cutoff Limit (UCL) & Lower Cutoff Limit (LCL) defined for these KPIs to decide reward/penalty. The UCL and LCL for RF & RAN (Radio access network) KPI are as below:
. Subscriber perceived Drop call Rate (DCR) -+/- 10 % for top cities +/- 20 % for circles (to be reviewed every six months)
• Subscriber perceived Call Set Up Success Rate (CSR) -
+/-1 % for top cities & circles
Fig. 3 illustrates the criterion for awarding reward or penalty to the cellular vendor based on the values of KPIs according to another embodiment of the instant invention.
» If average value of a KPI for a quarter is within the UCL and LCL defined
band then there is no reward or penalty. > Reward/Penalty is calculated by using weightage of individual critical KPI. . If the KPI value is better/worse than UCL/LCL for two successive quarters then there would be reward/penalty for the second quarter so that same quarter shouldn't get penalized twice. • If any two reward penalty KPIs fail to meet the target then all KPIs which qualify for reward will be deemed to be zero and penalty is calculated against all defaulted KPIs.
Week-ends and Holidays are excluded while calculation of these KPIs' targets and reward-penalty.
As illustrated in the table, down arrow indicates that KPIs value is below target. Upward arrow indicates that KPIs value is above target and rectangle indicates that KPIs values are within UCL and LCL band.

According to another embodiment of the instant invention, managed services vendor are allowed to take exclusions of cells based on certain pre-defined conditions and is illustrated in the table below:

SR Exclusion under
Exclusion Details 1% (for city) & 10% (for circle) bracket
1 Outages on account of natural calamity No
2 Outages on account of theft from sites No
3 (A) Sites not acquired at required places within agreed time frame (13) Areas where site acquisition is a limitation like Cantonment areas and no alternate options are possible (C)Exclusion of KPI's for cells affected by delays in Ordering additional equipment by customer to meet Network growth requirements after MS Vendor projects such requirements in advance; 3 months for BSS & 6 months for Core Yes
4 Outages on account of (a) access problems at sites (b) access problem at shared sites (c) access not possible due to law and order problems in any area [Specific cases to be agreed upon between cellular vendor and MS Vendor] (d) restrictions on access at night due to political, law & order reasons. The night hours for such cases to be agreed between cellular vendor and MS Vendor No
5 Cells with more than 15% samples of calls with TA>12 (6 Kins) Yes
6 Impact due to unforeseen or unplanned traffic pattern change (i.e. new subscriber scheme, new tariff scheme, 31st Dec.) will be discussed and mutually agreed during acceptance evaluation. To minimize the impact, available headroom as decided from time to time will be used for absorbing this impact. In case the impact exceeds the headroom capacity, all possible actions will be taken on priority basis to enhance the capacities to restore the KPIs in close consultation mutually. Yes
Exclusions will be given based on actual data
7 Outages due to Third party media failures No
8 Additional requirements of capacity for Special Events like festival/sports evemts etc. will be catered for by SP. Capacity requirement for any other public gathering which is informed by cellular vendor well in advance (4 weeks in advance) will be catered for. Exclusion will be granted for any other unexpected event. Yes
9 (A) Cells which are not able to expand due to site constraints provided planning process for acquistion of new site to relieve congestion started 3 months in advance. (B) IBS & Microcells not able to expand due to owner's permission. Yes
10 POI congestion will be excluded on account of insufficient POIs Yes
available provided a transparent way to ensure that devices in MSCs

are not blocked /sufficient in order to connect the POJs is worked out. Advance planning information for additional POls along with core planning requirements in the agreed format for POl augmentation will be provided.
11 Outage due to Major upgrades (incl. Hardware swap, software), change in architecture will be agreed between cellular vendor & MS Vendor. No
12 Exclusions only in case of proven cases of external interference. Yes
13 Cells with <100 calls in BBH can be excluded for Cell level calculations based on mutual discussions between cellular vendor & MS Vendor Yes
14 New sites will have 30-days period from date of integration to stabilize the performance and then will be included in REWARD/PENALTY calculation. Yes
15 Outages on the sites on account of power failure where DG backup cannot be made available due to owner constraints or other reasons. Exclude sites where power situation is good and these may not require DG. Also ensure higher battery backup at all other places subject to the contract terms. No
16 SLA agreement between cellular vendor and Infra Vendors will be agreed upon based on battery backup time available as well as energy conservation processes like delayed DG start at sites etc. Complete SLA management to be done by cellular vendor. Outages beyond battery backup time (as per contract) will be excluded provided Infra MS Vendor has defaulted in repair/replacement beyond his SLA despite follow up. Yes
17 cellular vendor to share the AMC/SLA agreement between the operator and Infra Vendors/ASPs. Outages due to these Vendors beyond agreed time between cellular vendor & Infra Vendors will be excluded. Yes
18 All boundary and circle handover cells will be excluded for KPI Yes
calculations but will be part of 1% & 10% exclusion bracket.
Total cells under exclusions other than outages and natural calamities can not be more than 1% of total cells for top 100 towns and 10% (to be reviewed after six months) of total cells for circles.
Exemplary Method
Fig. 4 is an exemplary flowchart illustrating a method 400 for optimizing the performance of a network according to the present invention. The method is

illustrated as a collection of steps in a logical flow graph, which represents a sequence of operations that can be implemented in hardware, software, or a combination thereof. The order in which the process is described is not intended to be construed as a limitation, and any number of the described steps can be combined in any order to implement the process, or an alternate process. Additionally, individual steps may be deleted from the process without departing from the spirit and scope of the subject matter described herein.
At 402, the relevant key performance indicators (KPIs) are determined along with their target value to be achieved by the managed service vendors. The KPIs and their target value are defined for a cell or a user group within a radio network which in the present invention is a circle or a region and the city within the circle as defined above. The relevant key performance indicators adopted in the instant invention are accessibility and retainability.
At 404, the network parameters are determined based on which the key performance indicators are calculated. The network parameters are different for each key performance indicators as mentioned above.
At 406, the value of key performance indicators are calculated according to a pre-defined criteria or formula based on GSM call flow diagram and independent of managed service vendors. The new calculated value can be stated as a current value. The KPIs are calculated on a daily basis and further the target values are also revised quarterly which can also be revised on weekly, monthly, half-yearly or yearly basis.
At 408, the current value and the target value of the KPI are compared and if the current value is more than the existing target value at 410, then at 412 the existing target value is adopted as new target value of the key performance indicators if the

network performance is deteriorating (increase in drop call rate). On the other hand, if the network performance is improving (increase in call set up success rate) then the current value is adopted as new target value of the key performance indicators. The values are adopted depending upon the type and nature of the key performance indicators. This can be clearly understood by referring to Fig. 2. There is a Performance Reporting (RF KPI) by the MS Vendor for timely reporting of the KPIs of the network.
A formula is proposed by the vendor for the calculation of the network KPI's. The formulae proposed can be based on GSM call flow diagram and independent of vendors. The mutually agreed formulae will be used for the calculation. MS vendor provides the performance raw counters to enable cellular vendor to generate the KPIs.
The performance reporting by the managed service vendor is determined based on the following:
1.1 KPI Reporting
RF & RAN KPIs are monitored and reported periodically. Trending of these KPIs is done on weekly, monthly, quarterly, half-yearly & yearly basis to understand the network status and decision of troubleshooting steps to be taken. Managed services Vendor is expected to use its expertise to implement the troubleshooting steps in case of non-favourable values of KPIs.
MS vendor shall monitor and report the KPIs for various time parameters such as
. TCBH . BBH . BH

NBH
Half-hourly
Hourly
Daily
Weekly
Monthly
Quarterly
Half-yearly
Yearly
Various network elements levels at which KPIs to be monitored and reported are as below:
TRX
Sector
Site
BSC OMCR MSC Town
Circle
•• Network
Additionally, MS vendor can provide Ad-hoc reports to cellular vendor as per the report format given by cellular vendor. MS vendor is also responsible for reporting and maintaining the KPIs that are required by regulatory bodies.
The RF KPIs with target list is as follows:

ALL KPIs formulae needs to be mutually agreed upon with CELLULAR VENDOR

VOICE KPIs Top 100 Cities Other Cities
Circle Wise Accesibility
1 Random Access Success Rate 98.0% 95.0%
2 SDCCH Blocking 0.4% 0.5%
3 SDCCH Drop 1.0% 1.4%
4 TCH Blocking 2.00% 2.00%
5 TCH Assignment Success Rate 97% 97%
Cell Wise Accessibility
1 Random Access Success Rate (> 95%) 95% of cells 90% of cells
2 SDCCH Blocking {< 0.5%) 95% of cells 90% of cells
3 SDCCH Drop (< 2.25%) 95% of cells 90% of cells
4 TCH Assiqnment Success Rate (> 95%) 95% of cells 90% of cells
5 % cells with <3% TCH Blocks - Circle wide TCBH 95% of cells 90% of celIs
Circle Wide Retainability
1 TCH Drop 1.20% 2.00%
2 Drop Rate on VIP routes 0.5% (Max 5% of the Nelwork route can be a VIP route) 1 % (Max 5% of the Network route can be a VIP route)
3 Total Handover Success Rate 98% (Reversions are NOT considered as failures) 97% (Reversions are NOT considered as failures)
Cell Wise Retainability
1 TCH Drop (<2.75%) 95% of cells 90% of cells
2 Total Handover Success Rate 98% for 95% of cells (Reversions are NOT considered as failures) 97% for 90% of cells (Reversions are NOT considered as failures)
3 Edang Minutes Per Drop >=90 >=90
1 2 Voice Quality >=3.5 >=3.5

Voice Quality - Mean Opinion Score from drive

SMS KPIs
1 SMS Success Rate >99% >99%
CUSTOMER SATISFACTION INDEX
1 No. of Complaints per 1000 Subscribers <=3 <=3
2 % of Complaints resolved within SLA >=99% >=99%
3 CAR (Customer Assessment on Resolution) >=75% >=75%
4 Platinum/Gold/ Silver & Others model KPIs to end Customers <0.5%, <1%, <1.5% <0.5%, <1%, <1.5%
The embodiments described above and illustrated in the figures are presented by way of example only and are not intended as a limitation upon the concepts and principles of the present invention. Elements and components described herein may be further divided into additional components or joined together to form

fewer components for performing the same functions. As such, it will be appreciated by one having ordinary skill in the art that various changes in the elements and their configuration and arrangement are possible without departing from the spirit and scope of the present invention as set forth in the appended claims.

We Claim:
1. A method for optimizing the performance of a radio network, said method comprising the steps of:
• determining relevant key performance indicators and their target value for a cell or a user group within the radio network;
• determining network parameters based on which the key performance indicators are calculated;
• calculating a value of the key performance indicators according to a pre-defined criteria as a current value;
• comparing the current value and the target value of the key performance indicators to determine whether the network performance has improved; and
• adopting the current value as a new target value of the key performance indicators if the network performance has improved based upon the network parameters used to calculate the key performance indicators.

2. The method as claimed in claim 1, wherein there is an upper limit and lower limit defined for the target value of the key performance indicators.
3. The method as claimed in claim 1. wherein reward and penalty is imposed upon the network service vendor if the value of the key performance indicators falls beyond the upper limit and the lower limit of the target value.
4. The method as claimed in claim 3, wherein the reward and penalty is determined based on the type of the key performance indicators.
5. The method as claimed in claim 1, wherein the new target values for the key performance indicators are revised quarterly.
6. The method as claimed in claim 1, wherein the network service vendor is provided with exclusions of cells based on pre-defined conditions.

7. The method as claimed in claim 1, wherein the steps of optimizing the performance of the network are iterated.
8. A system for optimizing the performance of a radio network, said system comprising of:

• means for determining relevant key performance indicators and their target value for network service vendor and/or a cell within the radio network;
• means for determining network parameters based on which the key performance indicators are calculated;
• means for calculating a value of the key performance indicators according to a pre-defined criteria as a current value;
• means for comparing the current value and the target value of the key performance indicators to determine whether the network performance has improved; and
• means for adopting the current value as a new target value of the key performance indicators if the network performance has improved based upon the network parameters used to calculate the key performance indicators.

9. The system as claimed in claim 8, wherein there is an upper limit and lower limit defined for the target value of the key performance indicators.
10. The system as claimed in claim 8, wherein reward and penalty is imposed upon the network service vendor if the value of the key performance indicators falls beyond the upper limit and the lower limit of the target value.
11. The system as claimed in claim 10, wherein the reward and penalty is determined based on the type of the key performance indicators.
12. The system as claimed in claim 8, wherein the new target values for the key performance indicators are revised quarterly.

13.The system as claimed in claim 8, wherein the network service vendor is provided with exclusions of cells based on pre-defined conditions.