JOURNAL ARTICLE

On the Performance of a Multi-User Multi-Antenna System with Transmit Zero-Forcing Beamforming and Feedback Delay

Abstract

This paper considers zero-forcing beamforming (ZFBF) at the transmitter for a downlink multi-user multiple-input single-output (MU-MISO) system. Transmit beamforming as a simple yet efficient technique can exploit the benefits of multiple transmit antennas provided that the instantaneous channel state information (CSI) is known at both sides of transmission link. In order to have such improvements, the CSI at both link ends must be updated timely. However, the updating process is always subject to non-ideality such as feedback delay and estimation error, which destroy the orthogonality of the parallel channels and cause the mismatch between the actual channel characteristic and the modulation matrices used. By analyzing the effect of feedback delay on the performance of capacity with spectral efficiency and outage probability as benchmarks, we design a cross-layer scheduler combining semi-orthogonal user selection (SUS) algorithm at the medium access control (MAC) layer to reduce the inter-user interferences and an adaptive proportional weighted modulation (APWM) algorithm at the physical (PHY) layer to address the problem of such mismatch, and compare the proposed scheduler (APWM-SUS) with the naive scheduler (the rate modulation matrices designed for the perfect CSI). Finally, simulation and numerical results reveal significant gains and high feasibility.

Keywords:
Computer science Beamforming Telecommunications link Channel state information Physical layer Transmitter Time division multiple access Spectral efficiency Channel (broadcasting) Orthogonality Transmission (telecommunications) Electronic engineering Control theory (sociology) Computer network Telecommunications Wireless Engineering Mathematics

Metrics

6
Cited By
0.86
FWCI (Field Weighted Citation Impact)
15
Refs
0.79
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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