Energy-Efficient Joint Resource Allocation and Power Control for D2D Communications

In this paper, joint resource allocation and power control for energy-efficient device-to-device (D2D) communications underlaying cellular networks are investigated. The resource and power are optimized for maximization of the energy efficiency (EE) of D2D communications. Exploiting the properties of fractional programming, the authors transform the original nonconvex optimization problem in fractional form into an equivalent optimization problem in subtractive form. Then, an efficient iterative resource allocation and power control scheme is proposed. In each iteration, part of the constraints of the EE optimization problem are removed by exploiting the penalty function approach. The authors further propose a novel two-layer approach, which allows finding the optimum at each iteration by decoupling the EE optimization problem of joint resource allocation and power control into two separate steps. In the first layer, the optimal power values are obtained by solving a series of maximization problems through root finding, with or without considering the loss of cellular users' rates. In the second layer, the formulated optimization problem belongs to a classical resource-allocation problem with single allocation format, which admits a network flow formulation so that it can be solved to optimality. Simulation results demonstrate the remarkable improvements in terms of EE by using the proposed iterative resource allocation and power control scheme.

• Record URL:
  https://doi.org/10.1109/TVT.2015.2472995
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2016, IEEE.
• Authors:
  • Jiang, Yanxiang
  • Liu, Qiang
  • Zheng, Fuchun
  • Gao, Xiqi
  • You, Xiaohu
• Publication Date: 2016-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 6119-6127
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 65
  • Issue Number: 8
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Cellular radio; Energy consumption; Iterative methods; Programming (Mathematics); Resource allocation; Wireless communication systems
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01612202
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 28 2016 10:40AM