Paper Info
Title
Energy Efficiency Analysis of Collaborative Compressive Sensing Scheme in Cognitive Radio Networks
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.
Year
DOI
Venue
2019
10.1109/TCCN.2020.3007901
IEEE Transactions on Cognitive Communications and Networking
Keywords
DocType
Volume
Achievable throughput,collaborative compressive sensing,energy consumption,energy efficiency,spectrum sensing
Journal
6
Issue
ISSN
Citations 
3
2332-7731
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Rajalekshmi Kishore100.34
Gurugopinath, S.2104.65
Sami Muhaidat361373.64
Paschalis C. Sofotasios433247.42
mehrdad dianati585070.67
Naofal Al-Dhahir62755319.65