Abstract
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.
| Original language | English |
|---|---|
| Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
| DOIs | |
| Publication status | Published - 1 Jan 2021 |
| Event | 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain Duration: 7 Dec 2021 → 11 Dec 2021 |
Keywords
- 5G-based vehicular networks
- blockchain
- scalability
- sharding
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