Ultra-Reliable Communication for Critical Machine Type Communication via CRAN-Enabled Multi-Connectivity Diversity Schemes

Author:

Kharel BinodORCID,López Onel Luis AlcarazORCID,Alves HirleyORCID,Latva-aho Matti

Abstract

This paper focuses on edge-enabled cloud radio access network architecture to achieve ultra-reliable communication, a crucial enabler for supporting mission-critical machine-type communication networks. We propose coordinated multi-point transmission schemes taking advantage of diversity mechanisms in interference-limited downlink cellular networks. The network scenario comprises spatially distributed multiple remote radio heads (RRHs) that may cooperate through silencing, or by using more elaborated diversity strategies such as maximum ratio transmission or transmit antenna selection to serve user equipment in the ultra-reliable operation regime. We derive an exact closed-form expression for the outage probabilities and expected values of signal-to-interference ratio for silencing, transmit antenna selection and maximum ratio transmission schemes. We formulate rate control and energy efficiency under reliability constraints to test the performance and resource usage of the proposed schemes. Furthermore, we study the impact on average system sum throughput with throughput-reliability trade-off under cooperative communication. Extensive numerical analysis shows the feasibility of ultra-reliable communication by implementing diversity schemes with RRHs cooperation.

Funder

Academy of Finland 6Genesis Flagship

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Statistical Tools and Methodologies for Ultrareliable Low-Latency Communication—A Tutorial;Proceedings of the IEEE;2023-11

2. Fuzzy Network Based 6G Framework for Healthcare Applications;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

3. 5G URLLC evolving towards 6G: research directions and vision;2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN);2023-07-04

4. 6G Driven Fast Computational Networking Framework for Healthcare Applications;IEEE Access;2022

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