Claims:WE CLAIM:

1. A method of dynamic channel allocation among a plurality of Base Transceiver Stations (BTSs) (107) in a Long-Range Land-To-Sea (LRLS) wireless network (109), the method comprising:
configuring, by a channel allocation unit (101), a plurality of channels (105), having non-overlapping frequencies, to the plurality of BTSs (107) for communicating with one or more Customer Premises Equipments (CPEs) (111);
scanning, by the channel allocation unit (101), each of the plurality of channels (105) corresponding to each pair of the BTS (107) and the CPEs (111) for obtaining one or more channel quality parameters (211) related to each of the plurality of channels (105);
computing, by the channel allocation unit (101), at least one of an Aggregate Weighted Signal-to-Interference Noise Ratio (AWSINR) metrics (213) or channel capacity metrics (215) for each pair of the BTS (107) and the CPEs (111), across each of the plurality of channels (105), based on the one or more channel quality parameters (211);
determining, by the channel allocation unit (101), a throughput value (217) for the plurality of BTSs (107) across each of the plurality of channels (105) based on the channel capacity metrics (215) of the corresponding channel; and
identifying, by the channel allocation unit (101), an optimal channel, from the plurality of channels (105), for each of the plurality of BTSs (107) based on at least one of the AWSINR metrics (213) or the throughput value (217), wherein the identified optimal channel is allocated to respective each of the plurality of BTSs (107).

2. The method as claimed in claim 1, wherein the one or more channel quality parameters (211) comprise at least one of a downlink AWSINR of each of the plurality of channels (105), an uplink AWSINR of each of the plurality of channels (105), buffer size of the AWSINR metrics of each of the plurality of channels (105), downlink channel capacity of each of the plurality of channels (105), and uplink channel capacity of each of the plurality of channels (105).

3. The method as claimed in claim 1, wherein the AWSINR metrics (213) is computed as a sum of downlink AWSINR and uplink AWSINR of each of the plurality of channels (105), normalized to buffer size of the AWSINR metrics of each of the plurality of channels (105).

4. The method as claimed in claim 1, wherein the channel capacity metrics (215) is computed as a sum of downlink channel capacity and uplink channel capacity of each of the plurality of channels (105).

5. The method as claimed in claim 1, wherein the AWSINR metrics (213) and the channel capacity metrics (215) are computed at predetermined regular intervals based on the one or more channel quality parameters (211) obtained at the predetermined regular intervals.

6. The method as claimed in claim 1, wherein the throughput is determined by computing the combined channel capacity of each of the plurality of channels (105).

7. The method as claimed in claim 1, wherein identifying the optimal channel for each of the plurality of BTSs (107) comprises:
ranking each of the plurality of BTSs (107) and corresponding plurality of channels (105) based on at least one of the AWSINR or the throughput value (217); and
identifying one of the plurality of channels (105), having highest rank, as the optimal channel for the respective each of the plurality of BTSs (107).

8. A channel allocation unit (101) for performing dynamic channel allocation among a plurality of Base Transceiver Stations (BTSs) (107) in a Long-Range Land-To-Sea (LRLS) wireless network (109), the channel allocation unit (101) comprising:
a processor (203); and
a memory, communicatively coupled to the processor, wherein the memory (205) stores processor-executable instructions, which on execution, cause the processor (203) to:
configure a plurality of channels (105), having non-overlapping frequencies, to the plurality of BTSs (107) to communicate with one or more Customer Premises Equipments (CPEs) (111);
scan each of the plurality of channels (105) corresponding to each pair of the BTS (107) and the CPEs (111) to obtain one or more channel quality parameters (211) related to each of the plurality of channels (105);
compute at least one of an Aggregate Weighted Signal-to-Interference Noise Ratio (AWSINR) metrics (213) or the channel capacity metrics (215) for each pair of the BTS (107) and the CPEs (111), across each of the plurality of channels (105), based on the one or more channel quality parameters (211);
determine a throughput value (217) for the plurality of BTSs (107) across each of the plurality of channels (105) based on the channel capacity metrics (215) of the corresponding channel; and
identify an optimal channel, from the plurality of channels (105), for each of the plurality of BTSs (107) based on at least one of the AWSINR metrics (213) or the throughput value (217), wherein the identified optimal channel is allocated to respective each of the plurality of BTSs (107).

9. The channel allocation unit (101) as claimed in claim 8, wherein the one or more channel quality parameters (211) comprise at least one of a downlink AWSINR of each of the plurality of channels (105), an uplink AWSINR of each of the plurality of channels (105), buffer size of the AWSINR metrics of each of the plurality of channels (105), downlink channel capacity of each of the plurality of channels (105), and uplink channel capacity of each of the plurality of channels (105).

10. The channel allocation unit (101) as claimed in claim 8, wherein the processor (203) computes the AWSINR metrics (213) as a sum of downlink AWSINR and uplink AWSINR of each of the plurality of channels (105), normalized to buffer size of the AWSINR metrics of each of the plurality of channels (105).

11. The channel allocation unit (101) as claimed in claim 8, wherein the processor (203) computes the channel capacity metrics (215) as a sum of downlink channel capacity and uplink channel capacity of each of the plurality of channels (105).

12. The channel allocation unit (101) as claimed in claim 8, wherein the processor (203) computes the AWSINR metrics (213) and the channel capacity metrics (215) at predetermined regular intervals based on the one or more channel quality parameters (211) obtained at the predetermined regular intervals.

13. The channel allocation unit (101) as claimed in claim 8, wherein the processor (203) determines the throughput by computing the combined channel capacity of each of the plurality of channels (105).

14. The channel allocation unit (101) as claimed in claim 8, wherein to identify the optimal channel for each of the plurality of BTSs (107), the processor (203) is configured to:
rank each of the plurality of BTSs (107) and corresponding plurality of channels (105) based on at least one of the AWSINR or the throughput value (217); and
identify one of the plurality of channels (105), having highest rank, as the optimal channel for the respective each of the plurality of BTSs (107).

15. A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor (203) cause a channel allocation unit (101) to perform operations comprising:
configuring a plurality of channels (105) having non-overlapping frequencies to the plurality of BTSs (107) for communicating with one or more Customer Premises Equipments (CPEs) (111);
scanning each of the plurality of channels (105) corresponding to each pair of the BTS (107) and the CPEs (111) for obtaining one or more channel quality parameters (211) related to each of the plurality of channels (105);
computing at least one of an Aggregate Weighted Signal-to-Interference Noise Ratio (AWSINR) metrics (213) or channel capacity metrics (215) for each pair of the BTS (107) and the CPEs (111), across each of the plurality of channels (105), based on the one or more channel quality parameters (211);
determining a throughput value (217) for the plurality of BTSs (107) across each of the plurality of channels (105) based on the channel capacity metrics (215) of the corresponding channel; and
identifying an optimal channel, from the plurality of channels (105), for each of the plurality of BTSs (107) based on at least one of the AWSINR metrics (213) or the throughput value (217), wherein the identified optimal channel is allocated to respective each of the plurality of BTSs (107).

Dated this 19th day of July 2018

SWETHA S. N
OF K&S PARTNERS
ATTORNEY FOR THE APPLICANT
IN/PA-2123
, Description:TECHNICAL FIELD
The present subject matter is, in general, related to Long-Range Land-to-Sea (LRLS) communication, but not exclusively, to a method and system for performing dynamic channel allocation among a plurality of Base Transceiver Stations (BTSs) in the LRLS wireless network.