Near-Optimal Power Allocation with PSO Algorithm for MIMO Cognitive Networks using Multiple AF Two-Way Relays
In this paper, the problem of power allocation for a multiple-input multiple-output two-way system is investigated in underlay Cognitive Radio (CR) set-up. In the CR underlay mode, secondary users are allowed to exploit the spectrum allocated to primary users in an opportunistic manner by respecting a tolerated temperature limit. The secondary networks employ an amplify-and-forward two-way relaying technique in order to maximize the sum rate under power budget and interference constraints. In this context, we formulate an optimization problem that is solved in two steps. First, we derive a closed-form expression of the optimal power allocated to terminals. Then, we employ a strong optimization tool based on particle swarm optimization algorithm to find the power allocated to secondary relays. Simulation results demonstrate the efficiency of the proposed solution and analyze the impact of some system parameters on the achieved performance.
A. Alsharoa et al., "Near-Optimal Power Allocation with PSO Algorithm for MIMO Cognitive Networks using Multiple AF Two-Way Relays," Proceedings of the 1st IEEE International Conference on Communications (2014, Sydney, NSW, Australia), pp. 1580 - 1584, IEEE Computer Society, Jun 2014.
The definitive version is available at https://doi.org/10.1109/ICC.2014.6883547
1st IEEE International Conference on Communications, ICC 2014 (2014: Jun. 10-14, Sydney, NSW, Australia)
Electrical and Computer Engineering
Keywords and Phrases
Multiple-input multiple-output; particle swarm optimization; two-way cognitive radio
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International Standard Serial Number (ISSN)
Article - Conference proceedings
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01 Jun 2014