2006/06/29 by Kaibin Huang, Jeffrey G. Andrews, Huang, Kaibin +4
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Algorithm #Artificial noise #Base station #Beamforming #Channel (broadcasting) #Codebook #Computer science #Control theory (sociology) #Dirty paper coding #FOS: Computer and information sciences #Information Theory (cs.IT) #MIMO #Precoding #Space-division multiple access #Telecommunications #Transmission (telecommunications) #Transmitter #Wireless Communication Networks Research #Zero-forcing precoding #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.cs/0606121
27 pages; to appear in IEEE Transactions on Vehicular Technology
openalex publication_date 2006/06/29 · arxiv created 2008/05/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
On the multi-antenna broadcast channel, the spatial degrees of freedom support simultaneous transmission to multiple users. The optimal multiuser transmission, known as dirty paper coding, is not directly realizable. Moreover, close-to-optimal solutions such as Tomlinson-Harashima precoding are sensitive to 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 scale logarithmically 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 also 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.