System and method for quality-driven channel selection in a communication network

• US 6,442,157 B1
• Filed: 09/23/1999
• Issued: 08/27/2002
• Est. Priority Date: 09/23/1999
• Status: Expired due to Fees

• Current Assignee: Nortel Networks Limited (Nortel Networks Corporation)
• Original Assignee: Nortel Networks Limited (Nortel Networks Corporation)
• Inventors: Baumann, Jill R., Richardson, Regena Lee, Carter, Daniel T.
• Primary Examiner(s): Urban, Edward F.
• Assistant Examiner(s): Mehrpour, N.
• Application Number:
  US09/404,121
• Time in Patent Office: 1,069 Days
• Field of Search: 370/341, 370/337, 370/328, 370/329, 370/332, 370/333, 370/442, 370/431, 370/252, 370/347, 455/450, 455/451, 455/452, 455/453, 455/455, 455/62, 455/63, 455/67.3, 455/513, 714/704, 714/708, 714/774
• US Class Current: 370/347
• CPC Class Codes: H04W 16/14 Spectrum sharing arrangements between different networks
• CPC Class Codes: H04W 24/00 Supervisory, monitoring or testing arrangements
• CPC Class Codes: H04W 36/06 Reselecting a communication resource in the serving access point

Abstract

A system and method for quality-driven channel selection in a communication network that measures interference on idle and active voice channels in a first quality-driven channel selection (QCS) cell is disclosed. A voice channel queue is automatically ordered based on a clearest voice channel which is determined by a reverse bit error rate (RBER) measurement and a forward bit error rate (FBER) measurement on the active voice channels and by an idle noise measurement on the idle voice channels. Further, dynamic channel sets (DCS) are created from the voice channel queue based on the RBER, FBER, and idle noise received, where the DCS are queues that include low interference channels and moderate interference channels.

Claims

1. A method for Time Division Multiple Access (TDMA) quality-driven channel selection (QCS), the method comprising the steps of:

measuring interference on idle voice channels in a first QCS cell;

measuring interference on active voice channels in the first QCS cell;

automatically ordering a voice channel queue based on a clearest voice channel, wherein the clearest voice channel is determined by a reverse bit error rate (RBER) measurement and a forward bit error rate (FBER) measurement on the active voice channels and by an idle noise measurement on the idle voice channels; and

creating, from the voice channel queue, dynamic channel sets (DCS) based on the RBER, FBER, and idle noise received, wherein the DCS are queues that include low interference channels and moderate interference channels.

2. The method of claim 1 further comprising the step of choosing, from the voice channel queue, the clearest voice channel to service an incoming call, wherein the clearest voice channel is positioned first in the voice channel queue.

3. The method of claim 1 further comprising the step of updating the voice channel queue after the completion of every call.

4. The method of claim 1 further comprising the steps of:

sensing, by the other QCS cells, the use of the clearest voice channel chosen by the first QCS cell if other QCS cells reuse the clearest voice channel chosen by the first cell; and

dropping, by the other QCS cells, the clearest voice channel to a lower ordered position in voice channel queues of the other QCS cells.

5. The method of claim 1, wherein values for the low interference channels are calculated based on a percentage of the idle noise, the RBER, and the FBER.

6. The method of claim 1, wherein values for the moderate interference channels are calculated based on a percentage of the idle noise, the RBER, and the FBER.

7. The method of claim 1 further comprising the step of choosing the DCS with the highest quality first.

8. The method of claim 1 further comprising the step of transitioning from the low interference channel queue to the moderate interference channel queue if an average reported RBER is greater than a customer datafilled RBER/NOISE threshold and the average reported FBER is less than a customer datafilled FBER/NOISE threshold.

9. The method of claim 1 further comprising the step of transitioning from the moderate interference channel queue to the low interference channel queue if an average reported FBER is greater than a customer datafilled FBER/NOISE threshold and the average reported RBER is less than a customer datafilled RBER/NOISE threshold.

10. The method of claim 1 further comprising the step of transitioning from the moderate interference channel queue to the low interference channel queue if an average reported RBER and an average reported FBER are less than a customer datafilled FBER/NOISE and RBER/NOISE thresholds.

11. A system for quality-driven channel selection (QCS) in a wireless network, the system comprises:

means for measuring interference on idle voice channels in a first QCS cell;

means for measuring interference on active voice channels in the first QCS cell;

means for automatically ordering a voice channel queue based on a clearest voice channel, wherein the clearest voice channel is determined by a reverse bit error rate (RBER) measurement and a forward bit error rate (FBER) measurement on the active voice channels and by an idle noise measurement on the idle voice channels; and

means for creating, from the voice channel queue, dynamic channel sets (DCS) based on the RBER, FBER, and idle noise received, wherein the DCS are queues that include low interference channels and moderate interference channels.

12. The system of claim 11 further comprises means for choosing, from the voice channel queue, the clearest voice channel to service an incoming call, wherein the clearest voice channel is positioned first in the voice channel queue.

13. The system of claim 11 further comprises means for updating the voice channel queue after the completion of every call.

14. The system of claim 11 further comprises:

means for sensing, by the other QCS cells, the use of the clearest voice channel chosen by the first QCS cell if other QCS cells reuse the clearest voice channel chosen by the first cell; and

means for dropping, by the other QCS cells, the clearest voice channel to a lower ordered position in voice channel queues of the other QCS cells.

15. The system of claim 11, wherein values for the low interference channels are calculated based on a percentage of the idle noise, the RBER, and the FBER.

16. The system of claim 11, wherein values for the moderate interference channels are calculated based on a percentage of the idle noise, the RBER, and the FBER.

17. The system of claim 11 further comprises means for choosing the DCS with the highest quality first.

18. The system of claim 11 further comprises means for transitioning from the low interference channel queue to the moderate interference channel queue if an average reported RBER is greater than a customer datafilled RBER/NOISE threshold and the average reported FBER is less than a customer datafilled FBER/NOISE threshold.

19. The system of claim 11 further comprises the means for transitioning from the moderate interference channel queue to the low interference channel queue if an average reported FBER is greater than a customer datafilled FBER/NOISE threshold and the average reported RBER is less than a customer datafilled RBER/NOISE threshold.

20. The system of claim 11 further comprises means for transitioning from the moderate interference channel queue to the low interference channel queue if an average reported RBER and an average reported FBER are less than a customer datafilled FBER/NOISE and RBER/NOISE thresholds.

21. A system for Time Division Multiple Access (TDMA) quality-driven channel selection (QCS), the system comprising:

a plurality of wireless communication devices;

a plurality of base transceiver stations (BTSs), wherein the plurality of wireless communication devices communicate with the BTSs;

a plurality of base station controllers (BSCs), wherein the plurality of BTSs are coupled to the BSCs; and

a plurality of mobile switching centers (MSCs), wherein the plurality of BSCs are coupled to the MSCs, and wherein at least one MSC comprises;

means for measuring interference on idle voice channels in a first QCS cell, wherein the first QCS cell includes at least one of the following elements from a group consisting of;

a BTS, a BSC, and a MSC;

means for measuring interference on active voice channels in the first QCS cell;

means for automatically ordering a voice channel queue based on a clearest voice channel, wherein the clearest voice channel is determined by a reverse bit error rate (RBER) measurement and a forward bit error rate (FBER) measurement on the active voice channels and by an idle noise measurement on the idle voice channels; and

means for creating, from the voice channel queue, dynamic channel sets (DCS) based on the RBER, FBER, and idle noise received, wherein the DCS are queues that include low interference channels and moderate interference channels.

22. A computer program for use in a communication network, comprising instructions for:

measuring interference on idle voice channels in a first QCS cell;

measuring interference on active voice channels in the first QCS cell;

automatically ordering a voice channel queue based on a clearest voice channel, wherein the clearest voice channel is determined by a reverse bit error rate (RBER) measurement and a forward bit error rate (FBER) measurement on the active voice channels and by an idle noise measurement on the idle voice channels; and

creating, from the voice channel queue, dynamic channel sets (DCS) based on the RBER, FBER, and idle noise received, wherein the DCS are queues that include low interference channels and moderate interference channels.

23. The computer program of claim 22 further comprising instructions for choosing, from the voice channel queue, the clearest voice channel to service an incoming call, wherein the clearest voice channel is positioned first in the voice channel queue.

24. The computer program of claim 22 further comprising instructions for updating the voice channel queue after the completion of every call.

25. The computer program of claim 22 further comprising instructions for:

sensing, by the other QCS cells, the use of the clearest voice channel chosen by the first QCS cell if other QCS cells reuse the clearest voice channel chosen by the first cell; and

dropping, by the other QCS cells, the clearest voice channel to a lower ordered position in voice channel queues of the other QCS cells.

26. The computer program of claim 22 further comprising instructions for choosing the DCS with the highest quality first.

27. The computer program of claim 22 further comprising instructions for transitioning from the low interference channel queue to the moderate interference channel queue if an average reported RBER is greater than a customer datafilled RBER/NOISE threshold and the average reported FBER is less than a customer datafilled FBER/NOISE threshold.

28. The computer program of claim 22 further comprising instructions for transitioning from the moderate interference channel queue to the low interference channel queue if an average reported FBER is greater than a customer datafilled FBER/NOISE threshold and the average reported RBER is less than a customer datafilled RBER/NOISE threshold.

29. The computer program of claim 22 further comprising instructions for transitioning from the moderate interference channel queue to the low interference channel queue if an average reported RBER and an average reported FBER are less than a customer datafilled FBER/NOISE and RBER/NOISE thresholds.