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Wireless Communications and Mobile Computing
Volume 2018, Article ID 9641712, 7 pages
Research Article

Detection Performance of Packet Arrival under Downclocking for Mobile Edge Computing

1Faculty of Information Technology, Macau University of Science and Technology, Avenida Wei Long, Taipa, Macau
2Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Correspondence should be addressed to Qinglin Zhao; moc.liamtoh@tcilqz

Received 8 November 2017; Revised 11 January 2018; Accepted 29 January 2018; Published 28 February 2018

Academic Editor: Anna Kobusinska

Copyright © 2018 Zhimin Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.