Abstract

Millimeter-wave using large-antenna arrays is a key technological component for the future cellular systems, where it is expected that hybrid beamforming along with quantized phase shifters will be used due to their implementation and cost efficiency. In this paper, we investigate the efficacy of full-duplex mmWave communication with hybrid beamforming using low-resolution phase shifters. We assume that the self-interference can be sufficiently cancelled by a combination of propagation domain and digital self-interference techniques, without any analog self-interference cancellation. We formulate the problem of joint self-interference suppression and downlink beamforming as a mixed-integer nonconvex joint optimization problem. We propose LowRes, a near-to-optimal solution using penalty dual decomposition. Numerical results indicate that LowRes using low-resolution phase shifters perform within 3% of the optimal solution that uses infinite phase shifter resolution. Moreover, even a single quantization bit outperforms half-duplex transmissions, respectively by 29% and 10% for both low and high residual self-interference scenarios, and for a wide range of practical antenna to radio-chain ratios. Thus, we conclude that 1-bit phase shifters suffice for full-duplex millimeter-wave communications, without requiring any additional new analog hardware.

Highlights

  • C URRENT wireless communication systems are witnessing a continuous increase in data traffic [2]

  • The simulations were performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at PDC Centre for High Performance Computing (PDC-HPC)

  • We investigate full-duplex mmWave systems using large-antenna arrays with hybrid beamforming, low-resolution phase shifters, and using a combination of propagation and digital domain self-interference cancellation techniques, i.e., without any analog self-interference cancellation

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Summary

Introduction

C URRENT wireless communication systems are witnessing a continuous increase in data traffic [2]. Date of publication July 13, 2020; date of current version October 9, 2020. The work of José Mairton Barros da Silva, Jr. was supported in part by the Brazilian National Council for Scientific and Technological Development (CNPq), in part by the Engblom Foundation, and in part by the Lars Hierta Memorial Foundation. This journal version extends the theoretical analysis, including detailed information about the blocks being optimized, complexity analysis, and convergence proofs. An earlier version of this article was presented at the IEEE ICC’19 [1]. The associate editor coordinating the review of this article and approving it for publication was D.

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