Directivity-Beamwidth Tradeoff of Massive MIMO Uplink Beamforming for High Speed Train Communication

Xuhong Chen; Jiaxun Lu; Tao Li; Pingyi Fan; Khaled Ben Letaief

doi:10.1109/ACCESS.2017.2694002

IEEE Access (Jan 2017)

Directivity-Beamwidth Tradeoff of Massive MIMO Uplink Beamforming for High Speed Train Communication

Xuhong Chen,
Jiaxun Lu,
Tao Li,
Pingyi Fan,
Khaled Ben Letaief

Affiliations

Xuhong Chen: Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Jiaxun Lu: Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Tao Li: Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Pingyi Fan: ORCiD; Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China
Khaled Ben Letaief: Department of Electrical and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

DOI: https://doi.org/10.1109/ACCESS.2017.2694002
Journal volume & issue: Vol. 5
pp. 5936 – 5946

Abstract

Read online

High-mobility adaption and massive multiple-input multiple-output (MIMO) application are two primary evolving objectives for the next generation high-speed train (HST) wireless communication system. In this paper, we consider how to design a location-aware beamforming for the massive MIMO system in the high traffic density HST network. We first analyze the tradeoff between beam directivity and beamwidth, based on which we present the sensitivity analysis of positioning accuracy. Then, in order to guarantee a high efficient transmission, we derive an optimal problem to maximize the beam directivity under the restriction of diverse positioning accuracies. After that, we present a low-complexity beamforming design by utilizing location information, which requires neither eigendecomposing (ED) the uplink channel covariance matrix (CCM) nor ED the downlink CCM. Finally, we study the beamforming scheme in the future high traffic density HST network, where a two HSTs encountering scenario is emphasized. By utilizing the real-time location information, we propose an optimal adaptive beamforming scheme to maximize the achievable rate region under limited channel source constraint. Numerical simulation indicates that a massive MIMO system with less than a certain positioning error can guarantee a required performance with satisfying transmission efficiency in the high traffic density HST scenario and the achievable rate region when two HSTs encounter is greatly improved as well.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

About the journal

Abstract

Keywords