Name
Title | ||
|---|---|---|
Energy Efficiency Analysis of Collaborative Compressive Sensing for Cognitive Radio Networks |
Abstract | ||
|---|---|---|
We investigate the energy efficiency of a con- ventional collaborative compressed sensing (CCCS) scheme in cognitive radio networks. In particular, we derive expressions for the throughput, energy consumption and energy efficiency, and analyze the trade-off between the achievable throughput and the energy consumption of the underlying CCCS scheme. Furthermore, we formulate a multiple variable non-convex optimization problem to determine the optimum compression level that maximizes the energy efficiency, subject to interference constraints. We propose a sub-optimal solution based on tight approximations to simplify the aforementioned optimization problem, and further demonstrate that the energy efficiency achieved by the CCCS scheme is higher than that of conven- tional collaborative sensing scheme, under the same predefined conditions. It is further shown that the increase in the energy efficiency of CCCS scheme is due to the considerable decrease in the energy consumption, which is particularly noticeable with a large number of sensors. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/GLOCOM.2018.8647779 | 2018 IEEE Global Communications Conference (GLOBECOM) |
Field | DocType | ISSN |
Expression (mathematics),Computer science,Efficient energy use,Electronic engineering,Real-time computing,Interference (wave propagation),Throughput,Energy consumption,Optimization problem,Compressed sensing,Cognitive radio | Conference | 2334-0983 |
ISBN | Citations | PageRank |
978-1-5386-4727-1 | 0 | 0.34 |
References | Authors | |
14 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Kishore | 1 | 12 | 2.02 |
| Sanjeev Gurugopinath | 2 | 4 | 3.79 |
| Sami Muhaidat | 3 | 613 | 73.64 |
| Paschalis C. Sofotasios | 4 | 332 | 47.42 |
| mehrdad dianati | 5 | 850 | 70.67 |
| Naofal Al-Dhahir | 6 | 2755 | 319.65 |