Institut for Forretningsudvikling og Teknologi

Dynamic Pathloss Model for Place and Time Itinerant Networks

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Standard

Dynamic Pathloss Model for Place and Time Itinerant Networks. / Kumar, Ambuj; Mihovska, Albena; Prasad, Ramjee.

I: Wireless Personal Communications, Bind 100, Nr. 2, 05.05.2018, s. 641–652.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

Kumar, A, Mihovska, A & Prasad, R 2018, 'Dynamic Pathloss Model for Place and Time Itinerant Networks' Wireless Personal Communications, bind 100, nr. 2, s. 641–652. DOI: 10.1007/s11277-018-5261-0

APA

CBE

Kumar A, Mihovska A, Prasad R. 2018. Dynamic Pathloss Model for Place and Time Itinerant Networks. Wireless Personal Communications. 100(2): 641–652. Tilgængelig fra: 10.1007/s11277-018-5261-0

MLA

Vancouver

Kumar A, Mihovska A, Prasad R. Dynamic Pathloss Model for Place and Time Itinerant Networks. Wireless Personal Communications. 2018 maj 5;100(2): 641–652. Tilgængelig fra, DOI: 10.1007/s11277-018-5261-0

Author

Kumar, Ambuj ; Mihovska, Albena ; Prasad, Ramjee. / Dynamic Pathloss Model for Place and Time Itinerant Networks. I: Wireless Personal Communications. 2018 ; Bind 100, Nr. 2. s. 641–652

Bibtex

@article{6c698a20094345d6b950df12236c7904,
title = "Dynamic Pathloss Model for Place and Time Itinerant Networks",
abstract = "Future mobile communication networks are expected to be more intelligent and proactive based on new capabilities that increase agility and performance. However, for any successful mobile network service, the dexterity in network deployment is a key factor. The efficiency of the network planning depends on how congruent the chosen path loss model and real propagation are. Various path loss models have been developed that predict the signal propagation in various morphological and climatic environments; however they consider only those physical parameters of the network environment that are essentially static. Therefore, once the signal level drops beyond the predicted values due to any variance in the environmental conditions, very crowded areas may not be catered well enough by the deployed network that had been designed with the static path loss model. This paper proposes an approach that incorporates the environmental dynamics factor in the propagation model for intelligent and proactively iterative networks.",
author = "Ambuj Kumar and Albena Mihovska and Ramjee Prasad",
year = "2018",
month = "5",
day = "5",
doi = "10.1007/s11277-018-5261-0",
language = "English",
volume = "100",
pages = "641–652",
journal = "Wireless Personal Communications",
issn = "0929-6212",
publisher = "Springer New York LLC",
number = "2",

}

RIS

TY - JOUR

T1 - Dynamic Pathloss Model for Place and Time Itinerant Networks

AU - Kumar,Ambuj

AU - Mihovska,Albena

AU - Prasad,Ramjee

PY - 2018/5/5

Y1 - 2018/5/5

N2 - Future mobile communication networks are expected to be more intelligent and proactive based on new capabilities that increase agility and performance. However, for any successful mobile network service, the dexterity in network deployment is a key factor. The efficiency of the network planning depends on how congruent the chosen path loss model and real propagation are. Various path loss models have been developed that predict the signal propagation in various morphological and climatic environments; however they consider only those physical parameters of the network environment that are essentially static. Therefore, once the signal level drops beyond the predicted values due to any variance in the environmental conditions, very crowded areas may not be catered well enough by the deployed network that had been designed with the static path loss model. This paper proposes an approach that incorporates the environmental dynamics factor in the propagation model for intelligent and proactively iterative networks.

AB - Future mobile communication networks are expected to be more intelligent and proactive based on new capabilities that increase agility and performance. However, for any successful mobile network service, the dexterity in network deployment is a key factor. The efficiency of the network planning depends on how congruent the chosen path loss model and real propagation are. Various path loss models have been developed that predict the signal propagation in various morphological and climatic environments; however they consider only those physical parameters of the network environment that are essentially static. Therefore, once the signal level drops beyond the predicted values due to any variance in the environmental conditions, very crowded areas may not be catered well enough by the deployed network that had been designed with the static path loss model. This paper proposes an approach that incorporates the environmental dynamics factor in the propagation model for intelligent and proactively iterative networks.

U2 - 10.1007/s11277-018-5261-0

DO - 10.1007/s11277-018-5261-0

M3 - Journal article

VL - 100

SP - 641

EP - 652

JO - Wireless Personal Communications

T2 - Wireless Personal Communications

JF - Wireless Personal Communications

SN - 0929-6212

IS - 2

ER -