Open AccessAnalysis and Research on Resource Management Allocation Mode in Unlicensed Bands Based on D2D Cellular Network
Author(s) -
Heng Zhang,
Changjie Zhou,
Maoyong Cao,
Yi Sun,
Yue Liang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1288/1/012063
Subject(s) - stackelberg competition , computer science , cellular network , resource allocation , computer network , throughput , maximization , spectrum management , radio resource management , power control , resource management (computing) , interference (communication) , radio spectrum , cognitive radio , wireless network , power (physics) , telecommunications , wireless , mathematical optimization , channel (broadcasting) , physics , mathematics , mathematical economics , quantum mechanics
As spectrum resources become more and more tense, the use of unlicensed frequency bands has become more and more important. The management allocation and power control optimization of D2D communication resources in unlicensed frequency bands is the current focus. In the current environment, D2D communication improves spectrum efficiency and system capacity, which causes the complexity of inter-layer interference between the cellular network and the D2D link to increase, so that the failure rate of cellular service access is too high. Aiming at the above problems, a Stackelberg game based on energy efficiency maximization is proposed. The access probability is used to help network planning and ensure the successful access of cellular services. Through the Q learning algorithm, learn the optimal strategy of resource management allocation. Derive the throughput expression of the D2D user.