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A QoS‐aware green cooperative compressed sensing scheme in IEEE 802.22 WRAN
Author(s) -
Shan Baokun,
Li Xi,
Ji Hong,
Li Yi
Publication year - 2014
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2890
Subject(s) - computer science , compressed sensing , quality of service , throughput , efficient energy use , particle swarm optimization , mathematical optimization , wireless , computer network , algorithm , telecommunications , electrical engineering , mathematics , engineering
SUMMARY Distributed antennas (DAs) are introduced into IEEE 802.22 wireless regional area network (WRAN) in order to improve consumer premise equipment (CPE) access in high density or large scale network scenario. However, guaranteeing the CPEs' QoS in DA‐WRAN in the process of spectrum sensing is largely ignored. In this paper, we introduce compressed sensing theory into DA‐WRAN and propose a QoS‐Aware Green Cooperative Compressed Sensing scheme, which aims to maximize energy efficiency of DA‐WRAN under its basic QoS constraints of packet drop probability, sensing delay and total throughput. In the proposed scheme, the expression for accuracy of compressed signal recovery under certain sparsity is fitted into exponential function, and the number of compressed samples number is taken into account during the energy efficiency optimization for the first time. To solve the formulated nonlinear multivariate optimal problem, a sub‐optimal algorithm based on particle swarm optimization is presented. At last, the performances of the proposed scheme are simulated and discussed. The simulation results show that the performance on energy efficiency of proposed scheme is better than contrasting algorithms without compromising CPEs' QoS. Copyright © 2014 John Wiley & Sons, Ltd.