Improved Tomlinson–Harashima Precoding for Ultra Reliable Communication in Intelligent Transportation Systems

Shibiao He,Xinyi Yang,Yong Liao,Renke Han

doi:10.1155/2021/5585892

Shibiao He, Xinyi Yang + Show 2 more

Open Access

https://doi.org/10.1155/2021/5585892

Copy DOI

Journal: Complexity	Publication Date: Apr 3, 2021
Citations: 1	License type: CC BY 4.0

Affiliation: Chongqing University

Abstract

Cyber-physical systems (CPSs) are characterized by integrating computation and physical processes. To cope with the challenges of the application of the CPSs in all kinds of environments, especially the cellular vehicle-to-everything (C-V2X) which needs high quality end-to-end communication, the robustness and reliability for CPSs are very crucial. Aiming at the technical challenges of information transmission caused by the fading effect and the fast time-varying characteristics of the channel for C-V2X communication, an improved Tomlinson–Harashima precoding (THP) algorithm for multiple input multiple output (MIMO) systems is proposed. Channel state information (CSI) and correlation are exploited to compensate instantaneous CSI, which could reflect current real-time channel status exactly. Further, the iterative water filling power allocation algorithm and the multiuser scheduling algorithm based on the greedy algorithm are jointly optimized and applied to the THP, which could improve the system performance. Simulation results show that the proposed algorithm can be efficiently applied to high-speed mobility scenarios and improve bit error ratio (BER) performance as well as spectrum utilization.

Highlights

In recent years, the construction of global smart city is accelerated, which makes cyber-physical systems (CPSs) develop rapidly [1]
CPSs should respond to the input of the system timely and effectively, especially for cellular vehicle-to-everything (C-V2X) communication scenarios. e vehicle in the C-V2X adopts short distance wireless communication technology to communicate between vehicle-to-vehicle (V2V) and vehicleto-infrastructure (V2I) [10]
The computing and storage capabilities of vehicle devices are limited, and it is difficult to meet the constraints of a large number of computing requirements and low latency. erefore, mobile edge computing (MEC) can be introduced into the C-V2X. e C-V2X based on MEC is to move part of the computing power of the core network to the edge of the C-V2X

Summary

Introduction

The construction of global smart city is accelerated, which makes cyber-physical systems (CPSs) develop rapidly [1]. Erefore, the joint power allocation algorithms in the precoding design can effectively improve the transmission reliability and spectrum utilization of the system [20]. The iterative water filling power allocation algorithm and the multiuser scheduling algorithm based on the greedy algorithm are jointly designed with THP, which can effectively improve the system transmission reliability and spectrum utilization. It consists of a feedback matrix B, N nonlinear operators mod√M (x), and a feedforward matrix F with dimensions NT × N. e transmitting signal enters the high-speed channel after the precoding and reaches the receiver. Mod√ M (x) performs a periodic mapping of n1

User N

PK fK nK hK gK a K

User K