Optimal and sub-optimal resource allocation in multiple-input multiple-output-orthogonal frequency division multiplexing-based multi-relay cooperative cognitive radio networks

• Published in: IET communications Vol. 8; no. 5; pp. 646 - 657
• Main Authors: Ghamari Adian, Mehdi, Aghaeinia, Hassan
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 01.03.2014; John Wiley & Sons, Inc
• Subjects: Allocations; channel qualities; cognitive radio; computational complexity; constraint values; Cooperation; cooperative communication; decode and forward communication; decode‐and‐forward strategy; DF cooperation strategy; dual decomposition technique; Interference; interference temperature limit; MIMO communication; MIMO systems; Multiplexing; multiple‐antennas; multiple‐input multiple‐output‐orthogonal frequency division multiplexing; multirelay cooperative cognitive radio networks; Networks; numerical analysis; numerical simulations; OFDM modulation; OFDM technique; optimal resource allocation; optimal subcarrier pairing; Optimization; power budgets; power constraints; primary system; radiofrequency interference; relay networks (telecommunication); relay selection; Resource allocation; Strategy; suboptimal resource allocation; sum‐rate; power constraints; multirelay cooperative cognitive radio networks; decode and forward communication; power budgets; radiofrequency interference; cognitive radio; resource allocation; channel qualities; OFDM technique; numerical analysis; DF cooperation strategy; multiple-antennas; OFDM modulation; suboptimal resource allocation; MIMO communication; interference temperature limit; relay networks (telecommunication); optimal subcarrier pairing; numerical simulations; decode-and-forward strategy; sum-rate; cooperative communication; MIMO systems; primary system; multiple-input multiple-output-orthogonal frequency division multiplexing; relay selection; optimal resource allocation; dual decomposition technique; constraint values; computational complexity
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2013.0676

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.