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- Title
认知D2D 网络中基于博弈论的高能效干扰约束 资源分配算法.
- Authors
谢显中; 严可; 田瑜; 李传文; 陈九九
- Abstract
When multiple D2D (device-to-device) users in the cognitive network reuse the cellular user's spectrum resources in Underlay mode, a game theory-based maximizing user is proposed Energy-efficiency (EE) D2D communication resource allocation algorithm. Different from previous work, under the condition of meeting certain interference thresholds, the focus is on optimizing energy efficiency without sacrificing system capacity. Establish a cognitive D2D communication game model in Underlay mode, and use D2D users (device-to-device (DUE)) as followers to reuse the spectrum resources of cellular user (CUE) uplinks. Since each user has selfishness The characteristic wants to maximize its own energy efficiency, so this resource allocation problem can be simulated as a non-cooperative game problem. The corresponding utility function is constructed under the constraints of the interference threshold. The Lagrangian dual method is used to solve this optimization problem, and the user's optimal transmit power is obtained. The user's power and link rate are balanced, and the algorithm is analyzed. Complexity. Simulation results show that the scheme can improve user energy efficiency and link average energy efficiency, and improve performance such as total system power consumption and system capacity.
- Subjects
ENERGY consumption; UTILITY functions; RESOURCE allocation; COMMUNICATION models; SELFISHNESS; NONCOOPERATIVE games (Mathematics); MULTIUSER computer systems; BILEVEL programming
- Publication
Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition), 2020, Vol 32, Issue 1, p47
- ISSN
1673-825X
- Publication type
Article
- DOI
10.3979/j.issn.1673-825X.2020.01.006