Abstract

In this paper, the resource allocation for vehicle-to-everything (V2X) underlaying 5G cellular mobile communication networks is considered. The optimization problem is modeled as a mixed binary integer nonlinear programming (MBINP), which minimizes the interference to 5G cellular users (CUs) subject to the quality of service (QoS), the total available power, the interference threshold, and the minimal transmission rate. To achieve that, the original MBINP is decomposed into three steps: transmission power initialization, subchannel assignment, and power allocation. Firstly, the minimum transmission power required by the V2X users (VUs) is set as the initial power value. Secondly, the Hungarian algorithm is used to obtain the appropriate subchannel. Finally, an optimization mechanism is proposed to the power allocation. Simulation results show that the proposed algorithm can not only ensure the minimal transmission rate of VUs but also further improve the CUs’ channel capacity under the premise of guaranteeing the QoS of the CUs.

Highlights

  • Nowadays, vehicle-to-everything (V2X) communication [1], an important main area of Internet of things (IoT) in the intelligent transportation systems (ITS), has attracted considerable attention

  • This poses a greater challenge to the reasonable allocation of radio resources for V2X communication, especially to improve the channel capacity on the premise of ensuring the communication quality of the cellular users (CUs) [6]

  • We present the system model of V2X underlay 5G communication system, where multiple V2X users (VUs) coexist with multiple CUs in the same cell

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Summary

Introduction

Vehicle-to-everything (V2X) communication [1], an important main area of Internet of things (IoT) in the intelligent transportation systems (ITS), has attracted considerable attention. It is expected that the future V2X communication will offer a wide range of services, such as safety applications, road traffic management, mobile video streaming, and other entertainment applications This poses a greater challenge to the reasonable allocation of radio resources for V2X communication, especially to improve the channel capacity on the premise of ensuring the communication quality of the cellular users (CUs) [6]. Zhang et al propose a distance-based power control scheme for D2D communication underlaying uplink cellular network to achieve the expected performance gain without generating evident interference to primary CUE [17].

System Model
Problem Formulation
The Proposed Allocation Algorithm
Performance Evaluation
Conclusion
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