Sharing-oriented Resource Allocation for Multi-platoon's Groupcasting and Unicasting Communication based on the Transmission Reliability

TL;DR

This paper introduces a novel resource allocation approach for vehicular platoons that enhances spectral efficiency and QoS by sharing resources between groupcasting and unicast communications based on transmission reliability.

Contribution

It proposes the TMPG and RSPU algorithms, applying tripartite matching and clustering to optimize resource sharing in 5G vehicular platoons.

Findings

The proposed methods outperform benchmark schemes in QoS satisfaction.

They increase the number of allocated subchannels.

They improve spectral efficiency.

Abstract

Resource allocation in vehicular platoons is challenging due to high vehicle mobility and limited spectrum resources. To improve spectral efficiency, resource sharing is commonly adopted. In 5G-based platoons, the Platoon Leader Vehicle (PLV) employs groupcasting to disseminate control messages to Platoon Member Vehicles (PMVs). When the groupcasting power is insufficient, a selected PMV acts as a Platoon Relay Vehicle (PRV) to extend the communication range. In addition, PMVs transmit unicast control messages to the vehicles following them for emergency coordination. This work proposes a sharing-oriented resource allocation method for both groupcasting and unicasting communication based on transmission reliability. For groupcasting, the proposed Tripartite Matching for Platoon Groupcasting (TMPG) algorithm applies tripartite matching to allocate subchannels shared by a PLV/PRV and corresponding individual entities (IEs), which denote cellular users or non-platooning vehicles. For unicasting, the proposed Resource Sharing for Platoons Unicasting (RSPU) algorithm (i) firstly partitions PMVs into clusters by considering intra-cluster interference and then (ii) uses tripartite matching to allocate a subchannel that is shared by a cluster of PMVs and the corresponding IE. Simulation results demonstrate that the proposed methods outperform benchmark schemes in terms of Quality of Service (QoS) satisfaction, the number of allocated subchannels, and spectral efficiency.