Power minimization for cooperative MIMO-OFDM systems with individual user rate constraints

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• 作者：Chih-yu Hsu ; Phee Lep Yeoh…
• 关键词：MIMO ; OFDM ; CoMP ; Power allocation ; Successive convex approximation
• 刊名：EURASIP Journal on Wireless Communications and Networking
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：2016
• 期：1
• 全文大小：825 KB
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• 作者单位：Chih-yu Hsu (1)
  Phee Lep Yeoh (1)
  Brian S. Krongold (1)
  
  1. Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, Australia
  
• 刊物主题：Signal, Image and Speech Processing;
• 出版者：Springer International Publishing
• ISSN：1687-1499

文摘

We propose a continuous rate and power allocation algorithm for multiuser downlink multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems with coordinated multipoint (CoMP) transmission that guarantees to satisfy individual rate target across all users. The optimization problem is formulated as a total transmit power minimization problem subject to per-user rate targets and per-antenna power constraints across multiple cooperating base stations. While the per-antenna power constraint leads to a more complex optimization problem, it is a practical consideration that limits the average transmit antenna power and helps to control the resulting high peak powers in OFDM. Our proposed algorithm uses successive convex approximation (SCA) to transform the non-convex power minimization problem and dynamically allocate power to co-channel user terminals. We prove that the transformed power minimization problem is convex and that our proposed SCA algorithm converges to a solution. The proposed algorithm is compared with two alternative approaches: (1) iterative waterfilling (IWF) and (2) zero-forcing beamforming (ZFB) with semi-orthogonal user selection. Simulation results highlight that the SCA algorithm outperforms IWF and ZFB in both medium- and low-interference environments. Keywords MIMO-OFDM CoMP Power allocation Successive convex approximation