Decentralized “good neighbor” DSA based on adaptive antenna array interference mitigation diversity: Finite amount of data effects

Abstract

Finite amount of data spectrum sensing effects are addressed in decentralized dynamic spectrum allocation (DSA) that exploits adaptive antenna array interference mitigation (IM) diversity at the receiver. The system is based on spectrally efficient filter bank multi-carrier (FBMC) PHY and consists of base stations (BSs) that use a “good neighbor” rule-regulated strategy to optimize uplink frequency allocation to their subscriber stations (SSs) to achieve the least impact of IM on the useful signal. A spectrum sensing protocol is proposed and DSA efficiency is studied by means of semi-analytical Markov chain approach for low-dimension networks and statistical simulations for higher-dimension spectrum sharing systems.