期刊
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 71, 期 3, 页码 3214-3228出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2022.3141592
关键词
Signal to noise ratio; Interference; Analytical models; Stochastic processes; Measurement; Intercell interference; Geometry; Coverage probability; HetNet; on; off control; point poisson process; user-number threshold
资金
- MSIT Ministry of Science and ICT), Korea under the Grand Information Technology Research Center support Program [IITP-2022-2020-001612]
- National Research Foundation of Korea (NRF) - Korea Government(MSIT) [NRF-2021R1G1A1094358]
This study investigates the operation of a user-number threshold-based base station on/off control and presents a space-based analysis of the system using stochastic geometric approach. The study derives closed-form expressions and optimal thresholds for coverage probability in homogeneous and heterogeneous networks. Results show that heterogeneous networks can be analyzed as a combination of weighted densities of homogeneous networks, with independently adjustable thresholds for each tier.
In this study, we investigate the operation of a user-number threshold-based base station (BS) on/off control, in which the BS turns off when the number of users is less than a specific threshold value. This paper presents a space-based analysis of the BS on/off control system to which a stochastic geometric approach is applied. In particular, we derive the approximated closed-form expression of the coverage probability of a homogeneous network (HomNet) with the user-number threshold-based BS on/off control. Moreover, the optimal user-number threshold for maximizing coverage probability is analytically derived. In addition to HomNet, we also derive the approximated closed-form expression of the coverage probability and the optimal user-number thresholds for a heterogeneous network (HetNet). The results show that HetNet, the analysis of which seems intractable, can be analyzed in the form of a linear combination of HomNets with weighted densities. In addition, the optimal user-number threshold of each tier is obtained independently from other tiers. The modeling and analysis presented in this paper are not only limited to the case of user-number threshold-based on/off control, but also applicable to other novel on/off controls with minor modifications. Finally, by comparing the analytical results with the simulated results, the theoretical contributions of this study are validated.
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