A Discrete First-Order Method for Large-Scale MIMO Detection with Provable Guarantees
Invited conference paper presented and published in conference proceedings

替代計量分析
.

其它資訊
摘要In this paper, we consider a simple and low complexity discrete first-order method called the Generalized Power Method (GPM) for large-scale MIMO detection. The GPM is essentially a projected gradient method and exploits the fact that the projection onto the discrete MPSK or QAM constellation is efficiently computable. As our main contribution, we first show that under certain conditions on the channel and additive noise, the GPM will converge to the true symbol vector in a finite number of iterations. We then show that the aforementioned conditions will be satisfied with high probability under standard probabilistic models of the channel and noise. Besides enjoying strong theoretical guarantees, the proposed method is shown in our simulations to be competitive with existing methods in terms of both detection performance and numerical efficiency. We believe that our techniques will find further applications in the development of high-performance detection methods for massive MIMO.
出版社接受日期10.04.2017
著者Huikang Liu, Man-Chung Yue, Anthony Man-Cho So, Wing-Kin Ma
會議名稱18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
會議開始日03.07.2017
會議完結日06.07.2017
會議地點Sapporo
會議國家/地區日本
會議論文集題名2017 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
出版年份2017
國際標準書號978-1-5090-3009-5
國際標準期刊號2325-3789
語言英式英語

上次更新時間 2020-18-10 於 02:36