Work

Optimized signal-space alignment for physical-layer network coding over distributed MIMO system

Year: 2017

Type: conference-paper

Abstract: We study an uplink distributed multiple-input multiple-output (D-MIMO) system, where multiple users are served by multiple base stations (BSs) connected to a common central unit (CU) via independent backhaul links. We propose an optimized signal-space aligned network coding transceiver scheme for sum-rate maximization. In the scheme, the signal alignment pattern and computed message combinations are determined by a carefully designed indicator matrix. Linear precoding operations at users are applied to realize the signal-space alignment. The aligned spatial streams at BSs are used to generate message combinations. We jointly optimize the alignment pattern and linear precoding operations to achieve a higher sum rate. Numerical results demonstrate the superiority of our proposed scheme over other benchmark schemes.

Source: IEEE/CIC International Conference on Communications in China (ICCC)

DOI: 10.1109/iccchina.2017.8330428

Authors: Hai Cheng, Xiaojun Yuan, Yang Tao

Institutions: ShanghaiTech University, University of Electronic Science and Technology of China, University of Technology Sydney

Language: English

Topic: Cooperative Communication and Network Coding

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funder: National Natural Science Foundation of China