A CONVEX APPROXIMATION METHOD FOR MULTIUSER MISO SUM RATE MAXIMIZATION UNDER DISCRETE RATE CONSTRAINTS
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員

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摘要This paper considers a discrete sum rate maximization (DSRM) problem for transmit optimization in multiuser MISO downlink. Unlike many existing sum rate maximization designs, DSRM focuses on a scenario where each user's achievable rate can only be chosen from a given discrete rate set. This discrete rate-based design is motivated by the fact that practical communication systems can support only a finite number of combinations of modulation and coding schemes. We tackle the DSRM problem first by deriving a novel reformulation of DSRM, in which the discrete rate variables are absorbed by the objective function. Then, from this reformulation, an approximation algorithm based on convex optimization and iterative solution refinement is developed. Simulations results are provided to demonstrate the performance of the proposed algorithm compared with some state-of-the-art algorithms.
著者Wai HT, Li Q, Ma WK
會議名稱IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
會議開始日26.05.2013
會議完結日31.05.2013
會議地點Vancouver
會議國家/地區加拿大
詳細描述organized by IEEE,
出版年份2013
月份1
日期1
出版社IEEE
頁次4759 - 4763
電子國際標準書號978-1-4799-0356-6
國際標準期刊號1520-6149
語言英式英語
關鍵詞discrete sum rate maximization; transmit beamforming; transmit optimization
Web of Science 學科類別Acoustics; Engineering; Engineering, Electrical & Electronic

上次更新時間 2020-27-11 於 01:50