ECSS: Efficient Cooperative Spectrum Sensing in CBRS based Cognitive Radio System

Abstract

Multi Input Multi Output (MIMO) based Cognitive Radio (CR) is implementable using Software Defined Radio (SDR) and is promising for efficient use of scarce electromagnetic spectrum. The Federal Communications Commission has proposed to create Citizens Broadband Radio Service (CBRS) with the three-tier spectrum sharing system to release more spectrum for the mobile broadband usage in next-generation wireless network. In this paper we propose an efficient cooperative spectrum sensing solution, ECSS, for CBRS CR system. The Priority Access License (PAL) are represented as Primary Users (PU) and General Authorized Access (GAA) as secondary user (SU). Modelling and analysis of cooperative spectrum sensing (CSS) is an important aspect in CR systems in presence of multiple users. In our scheme, spectrum sensing is carried by individual SUs using energy detector and Square Law Selection diversity. This is due to the simplicity and non-necessity of apriori information in both these techniques. The energy detection (ED) of an unknown signal over Nakagami-m fading is considered for analytically modelling local probability of detection at individual SU, termed as efficient spectrum sensing (ESS). Individual SUs send the hard decision rule to the Spectrum Access System (SAS), which acts as the fusion centre of the cooperative spectrum sensing system, where majority combining decision rule is employed to take final sensing decision using a Efficient Cooperative Spectrum Sensing (ECSS) Algorithm. Closed-form solutions for the ECSS system-level probability of detection and false alarm at the SAS are obtained and have been shown to give efficient performance.