Hybrid Precoding for Physical Layer Multicasting

Abstract

This work investigates the problem of downlink transmit precoding for physical layer multicasting with a limited number of radio-frequency (RF) chains. To tackle the RF hardware constraint, we consider a hybrid precoder that is partitioned into a high-dimensional RF precoder and a low-dimensional baseband precoder. Considering a total transmit power constraint over the RF chains, the goal is to maximize the minimum (max-min) received signal-to-noise ratio (SNR) among all users. We propose a low complexity algorithm to compute the RF precoder that achieves near-optimal max-min performance. Moreover, we derive a simple condition under which the hybrid precoding driven by a limited number of RF chains incurs no loss of optimality with respect to the fully digital precoding case. Finally, numerical results validate the effectiveness of the proposed algorithm and theoretical findings.

arXiv commentAccepted to IEEE Commun. Lett

References in corpus (4)

• Spatially Sparse Precoding in Millimeter Wave MIMO Systems
• Weighted Fair Multicast Multigroup Beamforming under Per-antenna Power Constraints
• Massive MIMO Multicasting in Noncooperative Cellular Networks
• Multicast Multigroup Beamforming for Per-antenna Power Constrained Large-scale Arrays

Cited by in corpus (6)

• Joint Unicast and Multi-group Multicast Transmission in Massive MIMO Systems
• Hybrid Precoding for Multi-Group Physical Layer Multicasting
• HydraWave: Multi-Group Multicast Hybrid Precoding and Low-Latency Scheduling for Ubiquitous Industry 4.0 mmWave Communication
• Learning-based Max-Min Fair Hybrid Precoding for mmWave Multicasting
• Max-Min Fair Hybrid Precoding for Multi-group Multicasting in Millimeter-Wave Channel
• Hybrid Precoding for Multi-Group Multicasting in mmWave Systems