Performance Analysis of Joint Transmission Schemes in Ultra-Dense Networks – A Unified Approach
| Autor: | Shuyi Chen, Tianyu Zhao, Xiqing Liu, Weixiao Meng, Hsiao-Hwa Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science 020206 networking & telecommunications 02 engineering and technology Spectral efficiency Interference (wave propagation) Computer Science Applications Moment (mathematics) Transmission (telecommunications) User equipment 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless Electrical and Electronic Engineering business Software 5G |
| Zdroj: | IEEE/ACM Transactions on Networking. 28:154-167 |
| ISSN: | 1558-2566 1063-6692 |
| Popis: | Ultra-dense network (UDN) is one of the enabling technologies in the fifth generation (5G) wireless communications, and the application of joint transmission (JT) is extremely important to deal with severe inter-cell interferences in UDNs. However, most of the current works done in performance analysis on JT schemes in the literature were based largely on simulation results due to the difficulties in quantitatively identifying the number of desirable and interfering transmitters in a UDN setup. In this work, we are motivated to propose an analytical approach to investigate the performance of JT schemes with a unified approach based on stochastic geometry, which is in particular useful for studying different JT schemes as well as conventional transmission schemes without JT. Using the proposed approach, we can unveil the statistical characteristics (i.e., expectation, moment generation function, and variance) of desirable signal and interference powers of a given user equipment (UE), and thus the system performances, such as average signal-to-interference-plus-noise ratio (SINR) and area spectral efficiency, can be evaluated analytically. The simulation results are illustrated to verify the effectiveness of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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