Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Communication Theory Lab
Date
2014-06Permanent link to this record
http://hdl.handle.net/10754/564933
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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. © 2014 IEEE.Citation
Alsharoa, A., Ghazzai, H., & Alouini, M.-S. (2014). Near-optimal power allocation with PSO algorithm for MIMO cognitive networks using multiple AF two-way relays. 2014 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2014.6883547Conference/Event name
2014 1st IEEE International Conference on Communications, ICC 2014ISBN
9781479920037ae974a485f413a2113503eed53cd6c53
10.1109/ICC.2014.6883547