Paper Info
Title
Joint Multi-User Resource Scheduling And Computation Offloading In Small Cell Networks
Abstract
In this paper, we address computation offloading problem from mobile users to their serving small cell base stations. These base stations can be endowed with some computational capabilities providing thus users proximity access to the cloud services. We aim to jointly optimize the radio resource scheduling and computation offloading in order to minimize the average energy consumed by all the users terminals to process their mobile applications under average delay constraints tolerated by these applications. We investigate for this problem offline and online dynamic programming approaches and we devise deterministic solutions to find the optimal scheduling-offloading policy. The proposed solutions select only one user for scheduling, hence offloading, and decides for the other users either local processing or staying idle according to their application rates. We show that the offline strategy is optimal in terms of energy saving compared to the online strategy. It can benefit from prior knowledge on the channel statistics and the application properties to satisfy the users requirements.
Year
Venue
Field
2015
2015 IEEE 11TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB)
Base station,Dynamic programming,Idle,Scheduling (computing),Computer science,Computer network,Computation offloading,Small cell,Distributed computing,Multi-user,Cloud computing
DocType
ISSN
Citations 
Conference
2160-4886
2
PageRank 
References 
Authors
0.45
8
3
Name
Order
Citations
PageRank
Wael Labidi120.45
Mireille Sarkiss2298.79
Mohamed Kamoun3348.40