Open AccessPerformance Analysis of Energy Harvesting-based Multiple Antenna and Multiple Relays Networks
Author(s) -
Qing Guo,
Kefeng Guo,
Shugui Chang,
Hong Xue
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/495/1/012005
Subject(s) - relay , energy harvesting , correctness , computer science , antenna (radio) , selection (genetic algorithm) , energy (signal processing) , monte carlo method , wireless , key (lock) , outage probability , computer network , scheme (mathematics) , electronic engineering , telecommunications , fading , engineering , mathematics , algorithm , power (physics) , channel (broadcasting) , artificial intelligence , statistics , physics , computer security , mathematical analysis , quantum mechanics
Harvesting regenerable energy from the surrounding environment is an effective way to solve the energy limitation of wireless communication, and energy harvesting communication has become one of the key technologies of 5G. In this paper, based on energy harvesting technology, we study the multiple antenna multiple relaying networks under different relay selection schemes. We design the Maximal ratio combining (MRC) techniques to enhance the system performance under the situation of partial and opportunistic relay selection scheme being used. On this foundation, we investigate the effects of relay selection scheme, multi-antenna technology and number of relays on the multiple relay network. At the same time, we obtain the closed-form expressions for the outage probability of the multiple relaying networks. In addition, Monte Carlo simulation results and intuitive discussions are provided to show the correctness of the analytical results.