Low-Complexity SSOR-Based Precoding for Massive MIMO Systems

• Published in: IEEE communications letters Vol. 20; no. 4; pp. 744 - 747
• Main Authors: Xie, Tian, Dai, Linglong, Gao, Xinyu, Dai, Xiaoming, Zhao, Youping
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antennas; Approximation; Asymptotic properties; Channels; Complexity; Complexity theory; Covariance matrices; Fading channels; linear precoding; Massive multiple-input multiple-output (MIMO); MIMO; MIMO (control systems); Optimization; Orthogonality; SSOR method; Symmetric matrices; linear precoding; Massive multiple-input multiple-output (MIMO); SSOR method

With the increase of the number of base station (BS) antennas in massive multiple-input multiple-output (MIMO) systems, linear precoding schemes are able to achieve the near-optimal performance, and thus are more attractive than nonlinear precoding techniques. However, conventional linear precoding...