文章摘要
WANG Yi(王翊),HUANG Rong,XU Yaohua,JIANG Fang,BAI Na,TANG Tao,HU Yanjun.[J].高技术通讯(英文),2022,28(4):373~383
Joint utility optimization algorithm for secure hybrid spectrum sharing
  
DOI:10.3772/j.issn.1006-6748.2022.04.005
中文关键词: 
英文关键词: spectrum sharing, power control, joint utility, blockchain
基金项目:
Author NameAffiliation
WANG Yi(王翊) (Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, P.R.China) 
HUANG Rong (Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, P.R.China) 
XU Yaohua (Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, P.R.China) 
JIANG Fang (Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, P.R.China) 
BAI Na (Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, P.R.China) 
TANG Tao (Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, P.R.China) 
HU Yanjun (Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, P.R.China) 
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中文摘要:
      
英文摘要:
      As the rapid development of wireless communication networks has resulted in better user experiences, the spectrum resources occupied and energy consumption have increased considerably and resulted in great costs. To address the energy consumption and cost problems of spectrum sharing in cognitive radio networks, a hybrid spectrum sharing model combining the free spectrum of authorized users and the leased spectrum of mobile network operators is given. Based on the hybrid model, a function of throughput and costs, including energy consumption and transaction costs, is constructed, and a joint utility optimization problem is analyzed. The transactions between secondary users and primary users are performed on the consortium blockchain on which users can directly trade spectrum and the transaction information is recorded. In order to improve the joint utility, the Lagrange multiplier method is used to achieve the optimal solution for the sensing time, the number of secondary users involved in sensing, and the transmission power. The simulation results show that the joint utility optimization algorithm proposed in this paper can achieve higher joint utility under the constraints of the minimum throughput requirement and maximum transmission power.
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