Joint Multicast Transmission and Channel Allocation Strategy for Data Dissemination in Vehicular Networks

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Abstract

The prosperity of advanced applications in vehicular networks leads to frequent data requests of vehicles, necessitating an increased emphasis on data dissemination capabilities. Multicast transmission, enabling the simultaneous delivery of data to multiple receivers, stands out as a spectrally efficient approach for data dissemination. However, existing approaches in multicast transmission strategy for vehicular networks largely ignore the interference that can arise between multicast links, which results in a degradation of system performance. In this paper, we investigate the issue of joint multicast transmission and bandwidth allocation strategy for enhancing data dissemination in vehicular networks and formulate a problem to maximize the number of packets effectively transmitted by optimizing multicast link establishment, transmitted packets and bandwidth allocation. Because of the coupling of variables in the formulated problem, we decompose the problem into two subproblems and propose the conflict graph based multicast transmission strategy and the graph coloring algorithm based bandwidth allocation strategy for each subproblem. Then, an iterative algorithm is designed for joint optimization. Extensive simulations demonstrate the advantages of proposed strategy.
Original languageEnglish
Title of host publicationWCSP 2023: The Fifteenth International Conference on Wireless Communications and Signal Processing
PublisherIEEE
Pages948-953
Number of pages6
ISBN (Electronic)9798350324662
ISBN (Print)9798350324679
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 International Conference on Wireless Communications and Signal Processing, WCSP 2023 - Hangzhou, China
Duration: 2 Nov 20234 Nov 2023

Conference

Conference2023 International Conference on Wireless Communications and Signal Processing, WCSP 2023
Country/TerritoryChina
CityHangzhou
Period2/11/234/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

This work was supported in part by the Key R&D Program of Shandong Province, China, under Grant No. 2022CXGC020107, the Joint Funds of the NSFC under Grant No. U22A2003 and the Funds for International Cooperation and Exchange of the NSFC under Grant No. 61860206005.

Keywords

  • channel allocation
  • Data dissemination
  • graph theory
  • interference management
  • multicast transmission
  • vehicular networks

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