Improved Sparsity Aware Collaborative Spectrum Estimation for Small Cell Networks

Abstract

In this paper, we propose some new adaptive approach for collaborative spectrum estimation in small scale Wireless Sensor Networks (WSN). The newly proposed regularized proportionate normalized least mean square (RPNLMS) diffusion adapt-then-combine (ATC) algorithm exploits the sparsity in the basis extension model for power spectral density (PSD) estimation. The proposed algorithm outperforms the existing sparsity aware ATC diffusion approach for the real-time collaborative spectrum estimation (CSE) in a WSN.