JOURNAL ARTICLE

Performance of Orthogonal Beamforming for SDMA With Limited Feedback

Kaibin HuangJeffrey G. AndrewsRobert W. Heath

Year: 2009 Journal:   IEEE Transactions on Vehicular Technology Vol: 58 (1)Pages: 152-164   Publisher: Institute of Electrical and Electronics Engineers

Abstract

On the multiantenna broadcast channel, the spatial degrees of freedom support simultaneous transmission to multiple users. The optimal multiuser transmission, which is known as dirty paper coding, is not directly realizable. Moreover, close-to-optimal solutions such as Tomlinson-Harashima precoding are sensitive to channel state information (CSI) inaccuracy. This paper considers a more practical design called per user unitary and rate control (PU2RC), which has been proposed for emerging cellular standards. PU2RC supports multiuser simultaneous transmission, enables limited feedback, and is capable of exploiting multiuser diversity. Its key feature is an orthogonal beamforming (or precoding) constraint, where each user selects a beamformer (or precoder) from a codebook of multiple orthonormal bases. In this paper, the asymptotic throughput scaling laws for PU2RC with a large user pool are derived for different regimes of the signal-to-noise ratio (SNR). In the multiuser interference-limited regime, the throughput of PU2RC is shown to logarithmically scale with the number of users. In the normal SNR and noise-limited regimes, the throughput is found to scale double logarithmically with the number of users and linearly with the number of antennas at the base station. In addition, numerical results show that PU2RC achieves higher throughput and is more robust against CSI quantization errors than the popular alternative of zero-forcing beamforming if the number of users is sufficiently large. © 2009 IEEE.

Keywords:
Precoding Codebook Beamforming Channel state information Computer science Base station Dirty paper coding Zero-forcing precoding Transmission (telecommunications) Artificial noise Control theory (sociology) Algorithm MIMO Channel (broadcasting) Telecommunications Wireless Transmitter

Metrics

240
Cited By
35.35
FWCI (Field Weighted Citation Impact)
42
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.