Institute for Theoretical Information Technology

Energy Minimization of Mobile Edge Computing Networks with Finite Retransmissions in the Finite Blocklength Regime

Authors

Y. Zhu, Y. Hu, A. Schmeink, J. Gross,

Abstract

        We consider a mobile edge computing network supporting low-latency and ultra reliable services. Task off-loading from the user to the edge server is operated under a truncated retransmission process, i.e., the allowed retransmission times are finite. For such network, we first characterize the end-to-end error probability and the total energy consumption. We subsequently provide a framework design allowing to determine the optimal number of allowed retransmissions and the blocklength for a single transmission/retransmission, where the objective is to minimize the expected total energy consumption while guaranteeing the end-to-end reliability. Via simulation, we confirm our analytical model and evaluated the system performance.

BibT_EX Reference Entry 

@inproceedings{ZhHuScGr19,
	author = {Yao Zhu and Yulin Hu and Anke Schmeink and James Gross},
	title = "Energy Minimization of Mobile Edge Computing Networks with Finite Retransmissions in the Finite Blocklength Regime",
	pages = "1-5",
	booktitle = "2019 {IEEE} 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) ({IEEE} SPAWC 2019)",
	address = {Cannes, France},
	doi = 10.1109/SPAWC.2019.8815391,
	month = Jul,
	year = 2019,
	hsb = RWTH-2019-09691,
	}

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