Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks

TL;DR

This paper proposes a novel speed-adaptive resource allocation scheme for 5G NR V2I networks to ensure fair access for vehicles traveling at different speeds, addressing a key challenge in vehicular communication.

Contribution

It introduces a multi-objective optimization approach to adapt the SPS selection window based on vehicle speed, improving fairness in resource access.

Findings

Enhanced fairness in resource allocation across varying vehicle speeds

Improved data transmission fairness demonstrated through simulations

Effective adjustment of the SPS selection window based on vehicle speed

Abstract

Vehicle-to-Infrastructure (V2I) technology enables information exchange between vehicles and road infrastructure. Specifically, when a vehicle approaches a roadside unit (RSU), it can exchange information with the RSU to obtain accurate data that assists in driving. With the release of the 3rd Generation Partnership Project (3GPP) Release 16, which includes the 5G New Radio (NR) Vehicle-to-Everything (V2X) standards, vehicles typically adopt mode-2 communication using sensing-based semi-persistent scheduling (SPS) for resource allocation. In this approach, vehicles identify candidate resources within a selection window and exclude ineligible resources based on information from a sensing window. However, vehicles often drive at different speeds, resulting in varying amounts of data transmission with RSUs as they pass by, which leads to unfair access. Therefore, it is essential to design an access scheme that accounts for different vehicle speeds to achieve fair access across the network. This paper formulates an optimization problem for vehicular networks and proposes a multi-objective optimization scheme to address it by adjusting the selection window in the SPS mechanism of 5G NR V2I mode-2. Simulation results demonstrate the effectiveness of the proposed scheme