Adaptive joint precoding and pre‐equalization with reduced complexity in massive MIMO systems. Issue 18 (14th November 2016)

• Record Type: Journal Article
• Authors: Xiong, Du; Peng, Wei; Chen, Da; Jiang, Tao
• Is Part Of: Wireless communications and mobile computing. Volume 16:Issue 18(2016)
• Page Start: 3190
• Page End: 3200
• Publication Date: 2016-11-14
• Subjects: massive MIMO -- reduced complexity -- frequency domain joint precoding and pre‐equalization -- adaptive transceiver; Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1002/wcm.2749
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract: In this paper, a massive multiple input multiple output downlink scenario is considered where the number of users varies in a large dynamic range. An adaptive joint precoding and pre‐equalization with reduced complexity is proposed. Specifically, the successive over‐relaxation method is employed in the pre‐equalization process to avoid the high‐dimensional channel matrix inversion, and a reduced‐length feedback filter is proposed to reduce the computational complexity of the precoding. Moreover, an adaptive transceiver structure is proposed to switch on/off the precoding process so that multiple users can be accommodated with the least cost of the computational complexity. Simulation results show that, compared with the traditional scheme, the proposed adaptive joint precoding and pre‐equalization can save about 90 % of the computational complexity. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : A joint precoding and pre‐equalization with reduced complexity are proposed. The precoding process is adaptively switched on/off so that multiple users can be accommodated with the least cost of the computational complexity. About 90% of the computational complexity could be saved compared with the traditional scheme.