Coverage Analysis and Scaling Laws in Ultra-Dense Networks
| Parent link: | IEEE Transactions on Green Communications and Networking Vol. 69, iss. 6.— 2021.— [P. 4158-4171] |
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| Coauteur: | |
| Andere auteurs: | , , , |
| Samenvatting: | Title screen 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. Режим доступа: по договору с организацией-держателем ресурса |
| Taal: | Engels |
| Gepubliceerd in: |
2021
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| Onderwerpen: | |
| Online toegang: | http://earchive.tpu.ru/handle/11683/72795 https://doi.org/10.1109/TCOMM.2021.3066583 |
| Formaat: | Elektronisch Hoofdstuk |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665308 |
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| 200 | 1 | |a Coverage Analysis and Scaling Laws in Ultra-Dense Networks |f I. Trigui, S. Affes, R. M. Di, D. N. K. Dzhayakodi (Jayakody) Arachshiladzh | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 40 tit.] | ||
| 330 | |a 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. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t IEEE Transactions on Green Communications and Networking | ||
| 463 | |t Vol. 69, iss. 6 |v [P. 4158-4171] |d 2021 | ||
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a network densification | |
| 610 | 1 | |a MIMO | |
| 610 | 1 | |a stochastic geometry | |
| 610 | 1 | |a millimeter wave | |
| 610 | 1 | |a antenna height | |
| 610 | 1 | |a coverage probability | |
| 610 | 1 | |a Fox’s H-fading | |
| 610 | 1 | |a стохастическая геометрия | |
| 610 | 1 | |a миллиметровые волны | |
| 610 | 1 | |a антенны | |
| 610 | 1 | |a покрытия | |
| 610 | 1 | |a сети | |
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| 701 | 1 | |a Affes |b S. |g Sofjen | |
| 701 | 1 | |a Di |b R. M. |g Rentso Marko | |
| 701 | 1 | |a Dzhayakodi (Jayakody) Arachshiladzh |b D. N. K. |c specialist in the field of electronics |c Professor of Tomsk Polytechnic University |f 1983- |g Dushanta Nalin Kumara |3 (RuTPU)RU\TPU\pers\37962 |9 20606 | |
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