Cognitive Radio-Based Spectrum Allocation Method for Next Generation Cellular Networks

Abstract

AbstractThe dynamic spectrum allocation is one of the important methods to meet high spectral efficiency and high data rates in wireless communication systems. This dynamic radio spectrum allocation is becoming a challenging task for present and next generation wireless communication systems due to the lack of available radio resources, time-varying channel conditions, and high-speed data requirements of broadband multimedia users. In this paper, we propose an intelligent Inter-Cell Interference Coordination (ICIC) scheme, which we call as Cognitive Cell-level Resource Allocation (CCRA) scheme for LTE downlink. This scheme allows a base station (e-Node B (eNB)) to use the neighbouring eNB’s physical resource blocks (PRBs) opportunistically. This scheme follows the SFR ICIC method which enhances the cell-edge user SINR by varying the power over the spectrum. In this scheme, the e-Node B autonomously takes the decision on which spectrum to be used within the cell for cell-edge users, so that Inter-Cell Interference (ICI) will not occur to its neighbouring cells. This increases the cell-edge user service rate while maintaining the ICI levels in neighbouring cells at a prescribed value. It is observed that the proposed scheme is outperforming the previous schemes.KeywordsLong Term Evolution (LTE)Orthogonal Frequency Division Multiple Access (OFDMA)Cognitive radioSINRICIPRBENBInter-Cell Interference Coordination (ICIC)