Robust beamforming with decentralized interference coordination in cognitive radio networks

Abstract

This paper considers an underlay cognitive radio network where primary and secondary networks coexist. The optimization target is to minimize the sum power of secondary transmitters while satisfying the worst case minimum SINR constraint for each secondary user (SU) and maximum aggregate interference constraint for each primary user (PU). Imperfect channel state information (CSI) is assumed, and the corresponding CSI errors are bounded by ellipsoids. We propose an alternating direction method of multipliers-based decentralized beamforming algorithm which relies only on local imperfect CSI and limited backhaul signaling. The convergence behavior of the proposed algorithm is studied via numerical examples.Index Terms-Alternating direction method of multipliers, cognitive multi-cell beamforming, underlay cognitive radio systems.

Intelligent dynamic spectrum allocation with bandwidth flexibility in cognitive radio network

“…Pennanen et al proposed multipliers-based decentralized beam forming algorithm assuming imperfect CH state information [19]. Doulat et al delegated some of its responsibilities to the nodes to reduce the control overhead of the base station and for allocation the spectrum only traffic loads are considered [20].…”