Optimal and sub‐optimal resource allocation in multiple‐input multiple‐output‐orthogonal frequency division multiplexing‐based multi‐relay cooperative cognitive radio networks. Issue 5 (1st March 2014)

• Record Type: Journal Article
• Authors: Ghamari Adian, Mehdi; Aghaeinia, Hassan
• Is Part Of: IET communications. Volume 8:Issue 5(2014)
• Page Start: 646
• Page End: 657
• Publication Date: 2014-03-01
• Subjects: cognitive radio -- computational complexity -- MIMO communication -- numerical analysis -- OFDM modulation -- radiofrequency interference -- resource allocation -- cooperative communication -- decode and forward communication -- relay networks (telecommunication); optimal resource allocation -- suboptimal resource allocation -- multiple‐input multiple‐output‐orthogonal frequency division multiplexing -- multirelay cooperative cognitive radio networks -- MIMO systems -- OFDM technique -- decode‐and‐forward strategy -- DF cooperation strategy -- relay selection -- dual decomposition technique -- optimal subcarrier pairing -- power constraints -- sum‐rate -- primary system -- interference temperature limit -- computational complexity -- channel qualities -- power budgets -- multiple‐antennas -- numerical simulations -- constraint values; Telecommunication systems -- Periodicals; Speech processing systems -- Periodicals; 621.38205
• DOI: 10.1049/iet-com.2013.0676
• Languages: English
• ISSNs: 1751-8628

Abstract

Abstract : The authors consider the resource allocation issue in multiple‐input multiple‐output‐orthogonal frequency division multiplexing‐based cooperative cognitive radio networks with the decode‐and‐forward (DF) as the cooperation strategy. The dual decomposition technique is recruited to obtain an optimal subcarrier pairing, relay selection and power allocation. The optimal resource allocation is performed subject to the individual power constraints in source and relays so that the sum‐rate is maximised while the interference induced to the primary system is kept below a pre‐specified interference temperature limit. Moreover, because of the high computational complexity of the optimal approach, a sub‐optimal algorithm is further proposed. In the sub‐optimal scheme, the joint allocation of the resources is performed taking into account the channel qualities, the DF cooperation strategy, the interference induced to the primary system and the individual power budgets. The performance of different approaches and the impact of the constraint values and deploying multiple‐antennas at users are explored through numerical simulations.