Name
Abstract | ||
|---|---|---|
We consider the spectrum access in an unlicensed spectrum (i.e., no incumbent users) for infrastructure-less networks where the number of users are unknown and they cannot coordinate with others due to lack of a control channel or a central controller. Also, users do not have spectrum sensing capability due to size and power constraints in battery operated radios. Such a setup is being studied for Internet of Things applications to enable sensors to communicate sensed data without the need of dedicated spectrum and network infrastructure. Using multi-user multi-armed bandit-based learning framework, we propose a new distributed algorithm which achieves a lower regret (i.e., throughput loss) than existing algorithms while keeping the number of collisions low. Fewer collisions save power which would have been otherwise wasted due to re-transmissions. High confidence bounds on the regret and number of collisions along with simulation results validate the effectiveness of our algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LCOMM.2018.2890226 | IEEE Communications Letters |
Keywords | Field | DocType |
Sensors,Throughput,Channel estimation,Distributed algorithms,Indexes,Upper bound,Batteries | Control channel,Control theory,Spectrum management,Regret,Computer science,Upper and lower bounds,Computer network,Distributed algorithm,Throughput,Battery (electricity) | Journal |
Volume | Issue | ISSN |
23 | 2 | 1089-7798 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rohit Kumar | 1 | 3 | 3.45 |
| Sumit Jagdish Darak | 2 | 36 | 16.39 |
| Manjesh Kumar Hanawal | 3 | 99 | 21.89 |
| Ajay K. Sharma | 4 | 139 | 25.90 |
| Rajiv K. Tripathi | 5 | 7 | 3.95 |