Energy-optimized bandwidth allocation strategy for mobile cloud computing in LTE networks

Xiang Sun, Nirwan Ansari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

This paper presents a mobile cloud computing application model and addresses how to minimize the energy consumption for uploading L size of data load within the T delay constraint. We propose a bandwidth allocation strategy for a LTE network with homogeneous sub-channel condition. Our objective is to allocate more bandwidth to each UE when its relative channel condition becomes better. We formulate the UE's objective function as the sum of two penalty functions: channel condition penalty function which incentivizes base stations to minimize the energy consumption for every UE and Service Level Agreement (SLA) demand penalty function which guarantees L size of data load that can be uploaded in time. In the network scenario, we formulate the EnerGy Optimized (EGO) bandwidth allocation strategy as a linear programming model and solve it by the Simplex Method. Simulation results show that EGO can save energy of up to 60% for each UE and decrease the SLA violation rate in the network of up to 30% in comparison with the existing bandwidth allocation strategy in the uplink of the LTE network.

Original languageEnglish (US)
Title of host publication2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2120-2125
Number of pages6
ISBN (Electronic)9781479984060
DOIs
StatePublished - Jun 17 2015
Event2015 IEEE Wireless Communications and Networking Conference, WCNC 2015 - New Orleans, United States
Duration: Mar 9 2015Mar 12 2015

Publication series

Name2015 IEEE Wireless Communications and Networking Conference, WCNC 2015

Other

Other2015 IEEE Wireless Communications and Networking Conference, WCNC 2015
Country/TerritoryUnited States
CityNew Orleans
Period3/9/153/12/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

Keywords

  • Bandwidth allocation
  • Service Level Agreement
  • energy optimal
  • linear programming
  • mobile cloud computing
  • simplex method

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