Outage probability analysis of uniformly distribution user based on signal to interference ratio
1. School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China; 2. Jiangsu Future Networks Innovation Institute, Nanjing, Jiangsu 211111, China
Abstract:To analyze the key performance indicators of cellular network communication and improve the reliability of communication systems, the user terminals uniformly distributed in cellular networks were analyzed. The random geometric modeling of user terminals in the downlink of ultra dense networks in 5G communication systems was conducted, and the situation of user equipment interfered by a base station outside the cell was analyzed. The probability density function of the user equipment′s signaltointerference ratio was given, and the interruption probability based on the signaltointerference ratio was calculated. The analysis results were verified by Monte Carlo simulation. The results show that the proposed interruption probability analysis method can be applied to the downlink communication scenario of heterogeneous cellular networks.
李正权, 袁月. 基于信干比的均匀分布用户中断概率分析[J]. 江苏大学学报(自然科学版), 2023, 44(5): 577-581.
LI Zhengquan, YUAN Yue. Outage probability analysis of uniformly distribution user based on signal to interference ratio[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2023, 44(5): 577-581.
AHMAD I, KUMAR T, LIYANAGE M, et al. Overview of 5G security challenges and solutions[J]. IEEE Communications Standards Magazine, 2018,2(1):36-43.
[2]
杨洁. 5G通信技术的优缺点及应用前景[J]. 中国新通信, 2019, 21(20):117.
YANG J.The advantages, disadvantages, and application prospects of 5G communication technology[J]. China New Telecommunications, 2019,21(20):117. (in Chinese)
GUAN N Y, GUO J L. Optimal control algorithms for highspeed internet coverage in heterogeneous environments[J]. Journal of Jilin University (Science Edition), 2020,58(2):343-348. (in Chinese)
WANG G, YU Y H, YANG Y. Interference management and resource allocation based on cluster allocation in ultradense network[J]. Journal of Jilin University (Science Edition), 2021,59(5):1228-1236. (in Chinese)
[5]
ZOLOTUKHIN M, SAYENKO A, HMLINEN T. On optimal deployment of low power nodes for high frequency next generation wireless systems[J]. Computer Networks, 2018,144:120-140.
PENG S J, MO Z K, PAN X H,et al. Research on performance of drone mobile systems based on stochastic geometry[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2022,34(4):654-661. (in Chinese)
[7]
YU X L, CUI Q M, WANG Y J, et al. Stochastic geometry based analysis for heterogeneous networks: a perspective on meta distribution[J]. Science China Information Sciences, DOI: 10.1007/s1143202028757.
[8]
SON H K, KIM C Y. Derivation of probability density function of signaltointerferenceplusnoise ratio for the mstoms interference analysis[J]. The Scientific World Journal, DOI: 10.1155/2013/143970.
[9]
BAROUDI S, SHAYAN Y R. Evaluation of outage probability for uniformly distributed users based on signaltointerferenceplusnoise ratio[J]. IET Communications, 2019, 13(9): 1236-1241.
[10]
NADERIALIZADEH N, ORHAN O, NIKOPOUR H, et al. Ultradense networks in 5G: interference management via nonorthogonal multiple access and treating interference as noise[C]∥Proceedings of the 2017 IEEE 86th Vehicular Technology Conference. Piscataway: IEEE, DOI:10.1109/VTCFall.2017.8288417.
[11]
UWAECHIA A N, MAHYUDDIN N M. A comprehensive survey on millimeter wave communications for fifthgeneration wireless networks: feasibility and challenges[J]. IEEE Access, 2020,8:62367-62414.