1. Robust Energy Efficiency Maximization in Multicast Downlink C-RAN.
- Author
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Tan, Jinghong, Zhang, Qi, Quek, Tony Q. S., and Shin, Hyundong
- Subjects
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ENERGY consumption , *RADIO access networks , *MULTICASTING (Computer networks) , *MATRIX inequalities , *LINEAR matrix inequalities , *CONVEX programming , *SYSTEMS design - Abstract
In this paper, we investigate the beamformer design of the energy-efficient downlink multicast cloud radio access network (C-RAN) with the compression and data-sharing strategies, respectively. With the imperfect channel state information, we aim to maximize the worst-case energy efficiency (EE), which is defined as the ratio of the sum of worst-case group rates to the total power consumption of the network. The formulated problems for both strategies are non-convex and challenging to solve. In order to find the solutions, we develop a two-layer iterative algorithm that recast the formulated problems as a series of convex quadratic matrix inequality problems which can be solved by the generated Augmented Lagrangian method. The convergence of the proposed algorithms is proved via both analytical and simulated ways, and the effectiveness of them on improving EE is also validated. Moreover, through the comparison of the two transmission strategies considered, we find that the compression strategy can achieve higher worst-case EE than the data-sharing strategy in most scenarios, except for the case with low rate requirement in small-size network. Our conclusions can be used as meaningful references for the practical system design. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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