System and method for enabling interference-awareness for LTE operation in unlicensed spectrum
A computer-implemented method executed on a processor for employing an epoch-based approach to estimating interference in an unlicensed spectrum is presented. The method includes enabling communication between a long-term evolution (LTE) evolved node B (eNodeB) and a plurality of clients, detecting and measuring the interference in all existing non-overlapping channels, via the LTE eNodeB, caused by one or more hidden clients of the plurality of clients, collecting interference statistics from all of the plurality of clients across all different channels, and leveraging interference-awareness resulting in channel access performance improvement at a macro-time scale and a micro-time scale.
1. A computer-implemented method executed on a processor for employing an epoch-based approach to estimating interference in an unlicensed spectrum, the method comprising:
enabling communication between a long-term evolution (LTE) evolved node B (eNodeB) and a plurality of clients;
detecting and measuring the interference in all existing channels, via the LTE eNodeB, caused by one or more hidden clients of the plurality of clients;
collecting interference statistics from all of the plurality of clients across all different channels; and
leveraging interference-awareness resulting in channel access performance improvement at a macro-time scale and a micro-time scale.
2. The method of claim 1 , further comprising spatially clustering one or more of the plurality of clients.
3. The method of claim 2 , further comprising selecting, in each cluster, one representative client from the one or more of the plurality of clients spatially clustered, to measure the interference during a channel selection process.
4. The method of claim 3 , further comprising estimating client access probabilities on two adjacent non-overlapping channels concurrently by employing a single overlapping channel.
5. The method of claim 4 , further comprising employing joint downlink (DL) and uplink (UL) access to access the interference on both constituent channels individually.
6. The method of claim 5 , further comprising allocating resource blocks for DL transfers and UL transfers.
7. The method of claim 1 , further comprising converting an LTE scheduler to a probabilistic LTE scheduler by taking into account a channel access probability of each client of the plurality of clients while allocating resources to each of the plurality of clients.
8. A system for employing an epoch-based approach to estimating interference in an unlicensed spectrum, the system comprising:
a memory; and
a processor in communication with the memory, wherein the processor runs program code to:
enable communication between a long-term evolution (LTE) evolved node B (eNodeB) and a plurality of clients;
detect and measure the interference in all existing non-overlapping channels, via the LTE eNodeB, caused by one or more hidden clients of the plurality of clients;
collect interference statistics from all of the plurality of clients across all different channels; and
leverage interference-awareness resulting in channel access performance improvement at a macro-time scale and a micro-time scale.
9. The system of claim 8 , wherein one or more of the plurality of clients are spatially clustered.
10. The system of claim 9 , wherein, in each cluster, one representative client from the one or more of the plurality of clients spatially clustered is selected to measure the interference during a channel selection process.
11. The system of claim 10 , wherein client access probabilities are estimated on two non-overlapping channels concurrently by employing a single overlapping channel.
12. The system of claim 11 , wherein joint downlink (DL) and uplink (UL) access is employed to access the interference on both constituent channels individually.
13. The system of claim 12 , wherein resource blocks are allocated for DL transfers and UL transfers.
14. The system of claim 8 , wherein an LTE scheduler is converted to a probabilistic LTE scheduler by taking into account a channel access probability of each client of the plurality of clients while allocating resources to each of the plurality of clients.
15. A non-transitory computer-readable storage medium comprising a computer-readable program for employing an epoch-based approach to estimating interference in an unlicensed spectrum, wherein the computer-readable program when executed on a computer causes the computer to perform the steps of:
enabling communication between a long-term evolution (LTE) evolved node B (eNodeB) and a plurality of clients;
detecting and measuring the interference in all existing non-overlapping channels, via the LTE eNodeB, caused by one or more hidden clients of the plurality of clients;
collecting interference statistics from all of the plurality of clients across all different channels; and
leveraging interference-awareness resulting in channel access performance improvement at a macro-time scale and a micro-time scale.
16. The non-transitory computer-readable storage medium of claim 15 , wherein one or more of the plurality of clients are spatially clustered.
17. The non-transitory computer-readable storage medium of claim 16 , wherein, in each cluster, one representative client from the one or more of the plurality of clients spatially clustered is selected to measure the interference during a channel selection process.
18. The non-transitory computer-readable storage medium of claim 17 , wherein client access probabilities are estimated on two non-overlapping channels concurrently by employing a single overlapping channel.
19. The non-transitory computer-readable storage medium of claim 18 , wherein joint downlink (DL) and uplink (UL) access is employed to access the interference on both constituent channels individually.
20. The non-transitory computer-readable storage medium of claim 19 , wherein resource blocks are allocated for DL transfers and UL transfers.