• DocumentCode
    87064
  • Title

    Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium

  • Author

    Ismail, Muhammad ; Gamage, Amila Tharaperiya ; Weihua Zhuang ; Xuemin Shen ; Serpedin, Erchin ; Qaraqe, Khalid

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ. at Qatar, Doha, Qatar
  • Volume
    63
  • Issue
    4
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    1483
  • Lastpage
    1495
  • Abstract
    In this paper, energy efficient uplink communications are investigated for battery-constrained mobile terminals (MTs) with service quality requirements and multi-homing capabilities. A heterogeneous wireless medium is considered, where MTs communicate with base stations (BSs) and access points (APs) of different networks with overlapped coverage. Different from the existing works, we develop a quality of service (QoS)-based optimization framework for joint uplink bandwidth and power allocation to maximize energy efficiency for a set of MTs with multi-homing capabilities. The proposed framework is implemented in a decentralized architecture, through coordination among BSs/APs of different networks and MTs, which is a desirable feature when different networks are operated by different service providers. A suboptimal framework is presented with a reduced computational complexity as compared with the optimal framework. Simulation results demonstrate the improved performance of both the optimal and suboptimal frameworks over a state-of-the-art benchmark.
  • Keywords
    bandwidth allocation; computational complexity; energy conservation; mobile radio; optimisation; quality of service; telecommunication power management; AP; BS; MT; QoS-based optimization framework; access point; base station; battery-constrained mobile terminal; computational complexity reduction; energy efficiency maximization; energy efficient uplink communication; heterogeneous wireless medium; multihoming capability; power allocation; quality of service-based optimization framework; uplink decentralized joint bandwidth allocation; Bandwidth; Joints; Power demand; Quality of service; Resource management; Uplink; Wireless communication; Energy efficient communications; green communications; heterogeneous wireless medium; multi-homing resource allocation;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2015.2408601
  • Filename
    7054502