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SUMMARYDistributed 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.

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