Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks

Energy-efficiency (EE) is critical for device-to-device (D2D) enabled cellular networks due to limited battery capacity and severe cochannel interference. In this paper, the authors address the EE optimization problem by adopting a stable matching approach. The NP-hard joint resource allocation problem is formulated as a one-to-one matching problem under two-sided preferences, which vary dynamically with channel states and interference levels. A game-theoretic approach is employed to analyze the interactions and correlations among user equipments (UEs), and an iterative power allocation algorithm is developed to establish mutual preferences based on nonlinear fractional programing. The authors then employ the Gale–Shapley algorithm to match D2D pairs with cellular UEs, which is proved to be stable and weak Pareto optimal. The authors provide a theoretical analysis and description for implementation details and algorithmic complexity. The authors also extend the algorithm to address scalability issues in large-scale networks by developing tie-breaking and preference-deletion-based matching rules. Simulation results validate the theoretical analysis and demonstrate that significant performance gains of average EE and matching satisfactions can be achieved by the proposed algorithm.

• Record URL:
  https://doi.org/10.1109/TVT.2016.2615718
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2017, IEEE.
• Authors:
  • Zhou, Zhenyu
  • Ota, Kaoru
  • Dong, Mianxiong
  • Xu, Chen (Sarah)
• Publication Date: 2017-6

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 5256-5268
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 66
  • Issue Number: 6
  • 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: Algorithms; Cellular radio; Cellular radio; Copper; Design; Energy consumption; Game theory; Interference; Optimization; Quality of service; Resource allocation; Telecommunications; Wireless communication systems
• Subject Areas: Data and Information Technology; Transportation (General);

Filing Info

• Accession Number: 01645089
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2017 11:58AM