Coverage Analysis and Scaling Laws in Ultra-Dense Networks
| Autor: | Imene Trigui, Marco Di Renzo, Dushantha Nalin K. Jayakody, Sofiene Affes |
|---|---|
| Přispěvatelé: | Université du Québec à Montréal = University of Québec in Montréal (UQAM), Matériaux et Télécommunications, Montréal, Université Paris-Saclay, Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS), Tomsk Polytechnic University [Russie] (UPT), qian, xuewen |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Beamforming
сети Computer science antenna height stochastic geometry 02 engineering and technology Antenna array Base station 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Electronic engineering Path loss Fox’s H-fading Fading стохастическая геометрия Electrical and Electronic Engineering антенны Fox's H-fading покрытия миллиметровые волны Computer Science::Information Theory antenna pattern Wireless network coverage probability ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020302 automobile design & engineering 020206 networking & telecommunications millimeter wave [SPI.TRON] Engineering Sciences [physics]/Electronics [SPI.TRON]Engineering Sciences [physics]/Electronics MIMO Antenna height considerations Network densification network densification Antenna (radio) |
| Zdroj: | IEEE Transactions on Communications IEEE Transactions on Communications, Institute of Electrical and Electronics Engineers, 2021 IEEE Transactions on Green Communications and Networking |
| ISSN: | 0090-6778 |
| Popis: | International audience; In this paper, we develop an innovative approach to quantitatively characterize the performance of ultra-dense wireless networks in a plethora of propagation environments. The proposed framework has the potential of simplifying the cumbersome procedure of analyzing the coverage probability and allowing the unification of single-and multi-antenna networks through compact analytical representations. By harnessing this key feature, we develop a novel statistical machinery to study the scaling laws of wireless networks densification considering general channel power distributions including small-scale fading and shadowing as well as associated beamforming and array gains due to the use of multiple antenna. We further formulate the relationship between network density, antenna height, antenna array seize and carrier frequency showing how the coverage probability can be maintained with ultra-densification. From a system design perspective, we show that, if multiple antenna base stations are deployed at higher frequencies, monotonically increasing the coverage probability by means of ultra-densification is possible, and this without lowering the antenna height. Simulation results substantiate performance trends leveraging network densification and antenna deployment and configuration against path loss models and signal-to-noise plus interference thresholds. |
| Databáze: | OpenAIRE |
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