location:Home > 2019 Vol.2 Dec. No.6 > A selection algorithm of communication channel considering equilibrium

2019 Vol.2 Dec. No.6

  • Title: A selection algorithm of communication channel considering equilibrium
  • Name: Leopoldo Moffat
  • Company: Victoria University of Wellington
  • Abstract:

    Aiming at the problem that the channel selection accuracy of the ALOHA algorithm is low, a communication channel selection algorithm that considers equilibrium is proposed. Considering the balanced communication channel selection algorithm, the data acquisition of the communication network is required first. And extract the channel impulse response and power delay spectrum from the original data, then perform noise floor selection and multipath search on the channel impulse response and power delay spectrum, and analyze the channel fading characteristics. Finally, the optimal channel selection is carried out through the communication channel selection algorithm to achieve a balanced communication channel selection algorithm. The experimental comparison verified that the channel selection accuracy of the communication channel selection algorithm that considers equilibrium is always higher than the ALOHA algorithm.

  • Keyword: Equilibrium; Communication Channel; Selection Algorithm;
  • DOI: 10.12250/jpciams2019060634
  • Citation form: Leopoldo Moffat.A selection algorithm of communication channel considering equilibrium[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 25-32.
Reference:

[1] Cao Dun, Tang Yulong, Lei Zhengbao. A channel access backoff algorithm considering residual time in DSRC [J]. Computer Engineering and Application, 2016, 52 (13): 126-130.

[2] Jiang Yu, Bai Xingyu, Chen Wanhai. A new detection algorithm for V-BLAST over frequency selective channels [J]. Journal of Harbin Engineering University, 2007, 28 (27): 802-807.

[3] Cheng Tianhua, Fang An. An improved channel equalization algorithm for high-speed visible light communication system [J]. Modern Scientific Instruments, 2013, 22 (23): 2257-2259.

[4] Li Hongjuan, Sun Chao. A low computational complexity adaptive equalization algorithm for underwater acoustic time-varying channels [J]. Journal of Systems Simulation, 2007, 19 (23): 5469-5472.

[5] Li Si, Guilin, Xiong Jian. A single carrier frequency domain equalization algorithm for fast time-varying channels [J]. Journal of Shanghai Jiaotong University, 2010, 44 (49): 1251-1255.

[6] Sun Lijun, Sun Chao. A blind equalization algorithm for shallow water channel [J]. Journal of Northwest Polytechnic University, 2005, 23 (22): 143-146.

[7] Li Chungguang, Liao Xiaofeng, Wu Zhongfu, et al. Adaptive complex channel equalization technology based on a hybrid learning algorithm [J]. Journal of Communications, 2001, 22 (27): 138-143.

[8] Lisen, Ren Xiaona. A multi-channel backbone node scheduling equalization algorithm [J]. Science and Technology Bulletin, 2013, 11 (10): 196-198.

[9] Wang Bin, Ge Lindong, Xu Liqing, et al. [J]. A multi-path channel modulation recognition algorithm based on blind channel identification and blind equalization [J]. Journal of Electronics and Information, 2008, 30 (38): 1810-1814.

[10] A soft iterative channel estimation algorithm for Turbo equalization in underwater acoustic communication [J].Journal of Electronics and Information, 2013, 35 (33): 677-682.

[11] Li Ruijie. A component carrier selection algorithm to improve the reliability of data transmission [J]. Telecommunication Engineering Technology and Standardization, 2014, 15 (12): 638-649.

[12] Liao Zuobin, Liu Jianhua. Channel Competition Algorithms for Cognitive Wireless Networks Based on Potential Field Bidding [J]. Computer Applied Research, 2015, 32 (10): 3104-3107.


 


Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16