Paper Info
Title
Efficient Precoding for Single Carrier Modulation in Multi-User Massive MIMO Networks
Abstract
By processing in the frequency domain (FD), massive MIMO systems can approach the theoretical per-user capacity using a single carrier modulation (SCM) waveform with a cyclic prefix. Minimum mean squared error (MMSE) detection and zero forcing (ZF) precoding have been shown to effectively cancel multi-user interference while compensating for inter-symbol interference. In this paper, we present a modified downlink precoding approach in the FD based on regularized zero forcing (RZF), which reuses the matrix inverses calculated as part of the FD MMSE uplink detection. By reusing these calculations, the computational complexity of the RZF precoder is drastically lowered, compared to the The precoder. Introduction of the regularization in RZF leads to a bias in the detected data symbols at the user terminals. We show this bias can he removed by incorporating a scaling factor at the receiver. Furthermore, it is noted that user powers have to be optimized to strike a balance between noise and interference seen at each user terminal. The resulting performance of the RZF precoder exceeds that of the ZF precoder for low and moderate input signal-to-noise ratio (SNR) conditions, and performance is equal for high input SNR. These results are established and confirmed by analysis and simulation.
Year
DOI
Venue
2021
10.1109/ICC42927.2021.9500291
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
DocType
ISSN
Citations 
Conference
1550-3607
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Brent A. Kenney101.35
Arslan J. Majid201.35
hussein moradi3508.06
Behrouz Farhang-Boroujeny497284.30