Channel Pre-Inversion and max-SINR Vector Perturbation for Large-Scale\n Broadcast Channels

2016/01/29 by David Karpuk, Karpuk, David A., Peter Moss +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT)

paper · pdf · doi:10.48550/arxiv.1601.08112

openalex publication_date 2016/01/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We study channel pre-inversion and vector perturbation (VP) schemes for\nlarge-scale broadcast channels, wherein a transmitter has M transmit antennas\nand is transmitting to K single-antenna non-cooperating receivers. We provide\nresults which predict the capacity of MMSE pre-inversion as\nK\→\∞. We construct a new VP strategy, max-SINR vector\nperturbation (MSVP), which maximizes a sharp estimate of the\nsignal-to-interference-plus-noise ratio. We provide results which predict the\nperformance of MSVP and demonstrate that MSVP outperforms other VP methods.\nLastly, we combine MSVP with the low-complexity Sorted QR Precoding method to\nshow that MSVP has the potential to efficiently deliver data to a very large\nnumber of users at close to channel capacity.\n

Related

• Robust Vector Perturbation Precoding Design for MIMO Broadcast Channel
• Precoding in Multiple-Antenna Broadcast Systems with a Probabilistic Viewpoint
• Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels under Limited Feedback
• Symbol-Level Precoding Design for Max-Min SINR in Multiuser MISO Broadcast Channels
• Large-System Analysis of Joint User Selection and Vector Precoding with Zero-Forcing Transmit Beamforming for MIMO Broadcast Channels