NDLI: Antenna selection and adaptive power allocation for IA-based underlay CR

Content Provider	IET Digital Library
Author	Sam, Reba Paul Govindaswamy, Uma Maheswari
Abstract	In underlay spectrum sharing cognitive radio (CR), the secondary users (SUs) share the spectrum with the primary users (PUs) in such a way that the interference caused by the SUs should be less than the interference temperature (IT) threshold. Interference Alignment (IA) is considered as a novel interference management technique for CR networks (CRN) which eliminates the interference at the PUs and also the interference among the SUs. However, most of the iterative solutions for IA aimed at removing the interference between the users, does not take into account the QoS (Quality of Service) of the PUs and SUs. Also the achievable rate of PUs by employing IA is less than that of the maximum achievable rate in a MIMO (Multiple input multiple output) system with no interference. In this paper we first present an Antenna Selection (AS) scheme to significantly improve the QoS of PUs and then we have proposed an adaptive power allocation (PA) scheme which aims at optimum PA in view of the proportional fairness among SUs. Numerical results are derived for comparing the proposed schemes in terms of outage performance of PUs and SUs. Simulation results show the effectiveness of the proposed methods in terms of SNR.
Starting Page	734
Ending Page	742
Page Count	9
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 6, Aug (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0495
Journal	IET Signal Processing
Publisher Date	2017-03-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Power Allocation Scheme Antenna Array Antenna Selection Scheme Cognitive Radio Electromagnetic Compatibility IA-based Underlay CR Interference Interference Alignment Interference Management Technique Interference Suppression MIMO Communication Multiple-input-multiple-output System Primary User Proportional Fairness Radio Link And Equipment Radio Spectrum Management Secondary User Signal to Noise Ratio Telecommunication Power Management Transmission Rate Requirement Underlay Spectrum Sharing Cognitive Radio
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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