Detection Performance of Packet Arrival under Downclocking for Mobile Edge Computing

Zhimin Wang, Qinglin Zhao*, Fangxin Xu, Hongning Dai, Yujun Zhang

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

6 Citations (Scopus)

Abstract

Mobile edge computing (MEC) enables battery-powered mobile nodes to acquire information technology services at the network edge. These nodes desire to enjoy their service under power saving. The sampling rate invariant detection (SRID) is the first downclocking WiFi technique that can achieve this objective. With SRID, a node detects one packet arrival at a downclocked rate. Upon a successful detection, the node reverts to a full-clocked rate to receive the packet immediately. To ensure that a node acquires its service immediately, the detection performance (namely, the miss-detection probability and the false-alarm probability) of SRID is of importance. This paper is the first one to theoretically study the crucial impact of SRID attributes (e.g., tolerance threshold, correlation threshold, and energy ratio threshold) on the packet detection performance. Extensive Monte Carlo experiments show that our theoretical model is very accurate. This study can help system developers set reasonable system parameters for WiFi downclocking.

Original languageEnglish
Article number9641712
Number of pages7
JournalWireless Communications and Mobile Computing
Volume2018
DOIs
Publication statusPublished - 28 Feb 2018

Scopus Subject Areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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