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Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part II

Research Article

Cost Performance Driven Multi-request Allocation in D2D Service Provision Systems

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-24386-8_18,
        author={Dandan Li and Hongyue Wu and Shizhan Chen and Lei Dong and Zhuofeng Zhao and Zhiyong Feng},
        title={Cost Performance Driven Multi-request Allocation in D2D Service Provision Systems},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part II},
        proceedings_a={COLLABORATECOM PART 2},
        year={2023},
        month={1},
        keywords={D2D communication Request allocation Cost performance Combinatorial auction Multi-service inter-impact},
        doi={10.1007/978-3-031-24386-8_18}
    }
    
  • Dandan Li
    Hongyue Wu
    Shizhan Chen
    Lei Dong
    Zhuofeng Zhao
    Zhiyong Feng
    Year: 2023
    Cost Performance Driven Multi-request Allocation in D2D Service Provision Systems
    COLLABORATECOM PART 2
    Springer
    DOI: 10.1007/978-3-031-24386-8_18
Dandan Li1, Hongyue Wu1, Shizhan Chen1,*, Lei Dong1, Zhuofeng Zhao2, Zhiyong Feng1
  • 1: College of Intelligence and Computing
  • 2: Beijing Key Laboratory on Integration and Analysis of Large-Scale Stream Data
*Contact email: shizhan@tju.edu.cn

Abstract

Device-to-Device (D2D) communication has emerged as a promising technique to cope with the increasing heavy traffic in mobile networks. A critical problem in D2D service is request allocation, which aims to find the best provider for each of the proposed service requests. Most of the existing work focuses on optimizing the communication resource allocation, such as interference management, spectrum allocation, etc. In this paper, we originally address the request allocation problem with the object of maximizing the cost performance of requests. Moreover, we especially consider the impact of multi-service interactions on the service quality in a feasible plan for the provider. To solve this problem, we propose a combinatorial auction-based request allocation model. Furthermore, and develop a pruning-based request allocation algorithm calledRABPto maximize the overall cost performance of requests. Extensive simulation results demonstrate thatRABPperforms well in improving the cost performance and is conducive to enhancing the load balancing among mobile devices.

Keywords
D2D communication Request allocation Cost performance Combinatorial auction Multi-service inter-impact
Published
2023-01-25
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-24386-8_18
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