Abstract
In this paper, we study two approaches to optimize the problems between capacity and power in a three-hop multi-relay network. In the first approach, two beamforming weight vectors are designed to maximize the capacity under the power constraints of relay clusters. While in the second approach, we minimize the power of total relay nodes as well as meet the minimal capacity demand. In both of design schemes, we turn into two beamformer vectors to only one though a series of mathematical manipulation. Then apply genetic algorithm (GA) to obtain the optimal weight value of the nonconvex problems. Simulation results show that our proposed approaches significantly outperform the previous methods conducted.
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Lu, B., Liu, J., Wang, C., Xu, H., Wang, Q. (2014). Capacity and Power Optimization for Collaborative Beamforming with Two Relay Clusters. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_18
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DOI: https://doi.org/10.1007/978-3-319-11897-0_18
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