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Energy efficiency analysis of collaborative compressive sensing scheme in cognitive radio networks
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Kishore, Rajalekshmi, Gurugopinath, Sanjeev, Muhaidat, Sami, Sofotasios, Paschalis C., Dianati, Mehrdad and Al-Dhahir, Naofal (2020) Energy efficiency analysis of collaborative compressive sensing scheme in cognitive radio networks. IEEE Transactions on Cognitive Communications and Networking, 6 (3). pp. 1056-1068. doi:10.1109/TCCN.2020.3007901
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WRAP-Energy-efficiency-analysis-collaborative-compressive-sensing-cognitive-radio-Dianati-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1318Kb) | Preview |
Official URL: https://doi.org/10.1109/TCCN.2020.3007901
Abstract
In this paper, we investigate the energy efficiency of conventional collaborative compressive sensing (CCCS) scheme, focusing on balancing the tradeoff between energy efficiency and detection accuracy in cognitive radio environment. In particular, we derive the achievable throughput, energy consumption and energy efficiency of the CCCS scheme, and then formulate an optimization problem to determine the optimal values of parameters which maximize the energy efficiency of the CCCS scheme. The maximization of energy efficiency is proposed as a multi-variable, non-convex optimization problem, and we provide approximations to reduce it to a convex optimization problem. We highlight that errors due to these approximations are negligible. Subsequently, we analytically characterize the tradeoff between dimensionality reduction and collaborative sensing performance of the CCCS scheme, i.e., the implicit tradeoff between energy saving and detection accuracy. It is shown that the resulting loss due to compression can be recovered through collaboration, which improves the overall energy efficiency of the system.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Compressed sensing (Telecommunication) -- Energy consumption, Cognitive radio networks | ||||||
| Journal or Publication Title: | IEEE Transactions on Cognitive Communications and Networking | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 2372-2045 | ||||||
| Official Date: | September 2020 | ||||||
| Dates: |
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| Date of first compliant deposit: | 21 October 2020 | ||||||
| Volume: | 6 | ||||||
| Number: | 3 | ||||||
| Page Range: | pp. 1056-1068 | ||||||
| DOI: | 10.1109/TCCN.2020.3007901 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Publisher Statement: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access |
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