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- Title
一种基于博弈论的5G 异构网络多目标优化干扰算法.
- Authors
马天祥; 贾伯岩; 范 伟; 王 强; 李春海
- Abstract
To solve the communication interference problem of a high-speed rail wireless network and improve the throughput and energy efficiency of high-speed rail communication, a double-objective optimization interference algorithm based on Game Theory is proposed. Firstly, the corresponding precoding matrix and interference suppression matrix of the non-ideal channel are obtained, and the non-ideal channel state information including delay and fading is calculated to realize the spatial alignment of the interference signal. Secondly, a dual-objective optimal game model for power allocation is established to achieve dual optimization of throughput and energy efficiency based on the total system power and signal-to-interference plus noise ratio(SINR). Meanwhile, the interference alignment algorithm with the maximum signal-to-noise ratio(SNR) is adopted, and interference management optimization is realized through iterative Finally, the calculation. proposed algorithm is compared with the traditional interference optimization algorithm and analyzed based on the Matlab simulation platform. The results show that when the SINR is 30 dB and the train speed is 300 km/ h, the throughput of the proposed algorithm is increased by 48. 95%,the energy efficiency is increased by 53. 02%,and the bit error rate(BER) is reduced by 14. 37% . When the SINR is 30 dB and the number of the trackside equipment is 5,the throughput of the proposed algorithm reaches 88. 03%,and the energy efficiency reaches 71. 58% . Compared with other algorithms, the proposed algorithm has advantages in system through put, energy efficiency and transmission.
- Subjects
BIT error rate; INTERFERENCE suppression; ENERGY consumption; HIGH speed trains; INDUSTRIAL efficiency; RADIO frequency allocation
- Publication
Telecommunication Engineering, 2022, Vol 62, Issue 6, p702
- ISSN
1001-893X
- Publication type
Article
- DOI
10.3969/j.issn.1001-893x.2022.06.002