Geometric Weighted Sum Power Minimization for Energy-Efficient D2D Underlay Networks
- 7 October 2025
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Letters
- Vol. 29 (12) , 2909-2913
Abstract
This letter presents a computationally efficient weighted sum power (WSP) minimization framework for underlaid device-to-device (D2D) networks. Our approach circumvents the high complexity of fractional programming (FP) inherent in energy efficiency (EE) and weighted sum EE (WSEE) maximization. The core innovation lies in decoupling the problem into two tractable components: (i) closed-form geometric optimal power allocation with O(1) time complexity, eliminating iterative computations; (ii) optimal link matching via the Kuhn-Munkres (KM) algorithm. Integrated with an energy-aware heuristic for dynamic weight adaptation, the proposed scheme achieves ∼50% average network lifetime extension compared to FP-based EE maximization while maintaining real-time feasibility.Keywords
Funding Information
- 2023 Scientific Research Plan Guiding Project of Hubei Provincial Department of Education (B2023548)
- Hubei Provincial Natural Science Foundation of China (2025AFC093)
- 2025 Yichang Natural Science Research Project (A25-3-013)
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