Title
Towards 5G: Context Aware Resource Allocation for Energy Saving.
Abstract
With the objective of providing high quality of service (QoS), 5G system will need to be context-aware that uses context information in a real-time mode depends on network, devices, applications, and the environment of users'. In order to continue enjoying the benefits provided by future technologies such as 5G, we need to find solutions for reducing energy consumption. One promising solution is taking advantage of the context information available in today's networks. In this paper, we take a step towards 5G by utilizing context information in the scheduling process as conventional packet scheduling algorithms are mainly designed for increasing throughput but not for the energy saving. We investigate a Context Aware Scheduling (CAS) algorithm which considers the context information of users along with conventional metrics for scheduling. An information model of context awareness along with a context aware framework for resource management is also presented in this paper. CAS is simulated applying a system level simulator and the results obtained show that considerable amount of energy is saved by utilizing the context information compare to conventional scheduling algorithms.
Year
DOI
Venue
2016
10.1007/s11265-015-1061-x
Signal Processing Systems
Keywords
Field
DocType
5G,Context information,Scheduling,Energy efficiency
Resource management,Fair-share scheduling,Scheduling (computing),Computer science,Context awareness,Real-time computing,Two-level scheduling,Resource allocation,Dynamic priority scheduling,Round-robin scheduling,Distributed computing
Journal
Volume
Issue
ISSN
83
2
1939-8018
Citations 
PageRank 
References 
4
0.44
10
Authors
6
Name
Order
Citations
PageRank
M.A. Alam122717.84
Du Yang2686.44
Kazi Mohammed Saidul Huq331724.86
Firooz B. Saghezchi4497.92
Shahid Mumtaz5878110.36
Jonathan Rodriguez661168.60