使用启发式分片扩展基于5g的车辆网络的区块链系统

Pengwenlong Gu, Dingjie Zhong, Cunqing Hua, Farid Naït-Abdesselam, A. Serhrouchni, R. Khatoun
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引用次数: 2

摘要

5G通信有望扩大未来车载网络的容量和灵活性。然而,由于5G网络覆盖范围广,5G时代的海量设备接入将对接入控制和终端管理带来巨大挑战。为了解决大规模5g车载网络中的可扩展性问题,本文提出了两种基于不同复杂性的确定性点过程(DPP)的启发式分片方案。具体而言,本文提出的算法将基站的位置和无线信道条件分别作为DPP中的分集和质量参数共同考虑。它们都可以有效地控制每个分片的大小,保证分片的均匀分布,并允许BSs之间在分片内进行协作。由于高效的分片内协作,通信鲁棒性大大提高,即使在交易量动态变化的情况下,系统也能保证稳定的吞吐量。与基准方案相比,本文提出的协议和算法在覆盖和负载平衡方面有显著的性能提升。
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Scaling A Blockchain System For 5G-based Vehicular Networks Using Heuristic Sharding
5G communications are expected to expand both capacity and flexibility in future vehicular networks. However, due to the wide coverage range of 5G-based networks, massive device access in the 5G era will pose great challenges in access control and terminal management. In order to address the scalability issue in large-scale 5G-based vehicular networks, we propose in this paper the use of two heuristic sharding schemes which are based on the Determinantal Point Process (DPP) with different complexities. Specifically, in the proposed algorithms, both location and wireless channel condition of a base station (BS) are jointly considered respectively as diversity and quality parameters in the DPP. Both of them can effectively control the size of each shard, ensure the shards are evenly distributed and allow in-shard cooperation among the BSs. The communication robustness is then greatly improved due to the efficient in-shard cooperation and the system guarantees stable throughput even in scenarios where transactions volume changes dynamically. While compared to benchmark schemes, the simulation results of the proposed protocol and algorithms show significant performance gains in terms of coverage and load balancing.
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