Journal of System Simulation
Abstract
Abstract: Interference alignment (IA) attracts global attention for its capability of improving the throughput of MIMO systems. To ensure the system stability, researchers proposed access control and IA combined in link scheduling. In order to compensate for the deficiency of minimum interference leakage IA (MinL-IA) algorithm in terms of the expected signal gain, an alternative IA algorithm named MaxSINR-IA combined with access control was applied, and a novel semi-distributed scheduling algorithm(SDSIA-MaxSINR) algorithm was proposed. The theoretical analysis and simulation results demonstrate that SDSIA-MaxSINR algorithm is evidently superior to SDSIA-MinL algorithm in a higher SINR requirement, although MaxSINR-IA is inferior to the MinL-IA in terms of computational complexity.
Recommended Citation
Xiong, Zui; Wang, Keren; Hu, Jin; and Yun, Xu
(2020)
"Novel Access Control and Interference Alignment Based MIMO Link Scheduling Algorithm,"
Journal of System Simulation: Vol. 28:
Iss.
4, Article 18.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss4/18
First Page
907
Revised Date
2015-04-16
DOI Link
https://doi.org/
Last Page
913
CLC
TN914
Recommended Citation
Xiong Zui, Wang Keren, Jin Hu, Xu Yun. Novel Access Control and Interference Alignment Based MIMO Link Scheduling Algorithm[J]. Journal of System Simulation, 2016, 28(4): 907-913.
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons