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Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions

Tutkimustuotos

Standard

Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions. / Yunas, Syed Fahad.

Tampere University of Technology, 2015. 122 s. (Tampere University of Technology. Publication; Vuosikerta 1323).

Tutkimustuotos

Harvard

Yunas, SF 2015, Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions. Tampere University of Technology. Publication, Vuosikerta. 1323, Tampere University of Technology.

APA

Yunas, S. F. (2015). Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions. (Tampere University of Technology. Publication; Vuosikerta 1323). Tampere University of Technology.

Vancouver

Yunas SF. Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions. Tampere University of Technology, 2015. 122 s. (Tampere University of Technology. Publication).

Author

Yunas, Syed Fahad. / Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions. Tampere University of Technology, 2015. 122 Sivumäärä (Tampere University of Technology. Publication).

Bibtex - Lataa

@book{803ba46479744085ac8edb3fb0fc8628,
title = "Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions",
abstract = "Recent data analytics from the mobile broadband networks have revealed an exponentially rising trend of mobile data traffic for the past five years. It is predicted that by 2020 the overall data traffic will increase by a factor of 1000x. This traffic growth is caused both by the increased adoption of smartphones and tablets, and by the increased usage of multimedia rich services, such as video streaming. Furthermore, most of this demand is likely to come from indoor users. In order to be able to meet the increased capacity needs, network densification has been identified as a viable pathway for mobile operators to evolve their networks. Network densification can be achieved by either densifying the existing legacy deployments, e.g. by deploying more macrocell sites or street-level microcells, or by deploying new indoor low-power sites, or both. Furthermore, different distributed antenna solutions offer an additional interesting aspect in network densification and deployments.This doctoral dissertation addresses network densification from alternative deployment strategies’ perspective, in particular, when individual densification solutions are pushed to their capacity limits, such that all the network elements operate at full load. It evaluates and compares the performance of different deployment strategies in terms of capacity-, energy- and cost- efficiency. The performance evaluations are carried out using propagation modeling based analysis and are based on a system-independent approach, integrating not only the classical capacity and spectral efficiency aspects, but also energy- and cost-efficiency perspectives, through realistic power consumption and investment cost models. The energy-efficiency aspects are seen particularly important when moving towards the era of green communications, under clear trends and incentives to save energy at all levels of society. Furthermore, the analysis integrates some of the recent findings related to substantially increased building penetration losses, through the use of more energy-efficient building materials.The obtained results indicate that the indoor femtocell-based solutions with densely deployed femto-cells are much more spectrally-, energy- and cost efficient approach to address the enormous indoor capacity demands of the 5G era and beyond, compared to densifying the outdoor legacy deployment solutions, when the network is pushed to the extreme limit. This is particularly so when the building penetration losses are high, as has been recently observed in actual field measurements. Furthermore, the dynamic outdoor DAS concept, studied also in this thesis, offers an efficient and capacity-adaptive solution to provide outdoor capacity, on-demand, in urban areas. In general, this thesis work provides tools, results, understanding, and insight of both technical and techno-economical aspects of long-term evolutionary perspectives of different mobile network deployment and densification solutions, which can be used by network vendors, operators, and device manufacturers.",
author = "Yunas, {Syed Fahad}",
note = "Awarding institution:Tampere University of Technology Versio ok 16.12.2015",
year = "2015",
month = "10",
day = "9",
language = "English",
isbn = "978-952-15-3581-9",
series = "Tampere University of Technology. Publication",
publisher = "Tampere University of Technology",

}

RIS (suitable for import to EndNote) - Lataa

TY - BOOK

T1 - Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions

AU - Yunas, Syed Fahad

N1 - Awarding institution:Tampere University of Technology Versio ok 16.12.2015

PY - 2015/10/9

Y1 - 2015/10/9

N2 - Recent data analytics from the mobile broadband networks have revealed an exponentially rising trend of mobile data traffic for the past five years. It is predicted that by 2020 the overall data traffic will increase by a factor of 1000x. This traffic growth is caused both by the increased adoption of smartphones and tablets, and by the increased usage of multimedia rich services, such as video streaming. Furthermore, most of this demand is likely to come from indoor users. In order to be able to meet the increased capacity needs, network densification has been identified as a viable pathway for mobile operators to evolve their networks. Network densification can be achieved by either densifying the existing legacy deployments, e.g. by deploying more macrocell sites or street-level microcells, or by deploying new indoor low-power sites, or both. Furthermore, different distributed antenna solutions offer an additional interesting aspect in network densification and deployments.This doctoral dissertation addresses network densification from alternative deployment strategies’ perspective, in particular, when individual densification solutions are pushed to their capacity limits, such that all the network elements operate at full load. It evaluates and compares the performance of different deployment strategies in terms of capacity-, energy- and cost- efficiency. The performance evaluations are carried out using propagation modeling based analysis and are based on a system-independent approach, integrating not only the classical capacity and spectral efficiency aspects, but also energy- and cost-efficiency perspectives, through realistic power consumption and investment cost models. The energy-efficiency aspects are seen particularly important when moving towards the era of green communications, under clear trends and incentives to save energy at all levels of society. Furthermore, the analysis integrates some of the recent findings related to substantially increased building penetration losses, through the use of more energy-efficient building materials.The obtained results indicate that the indoor femtocell-based solutions with densely deployed femto-cells are much more spectrally-, energy- and cost efficient approach to address the enormous indoor capacity demands of the 5G era and beyond, compared to densifying the outdoor legacy deployment solutions, when the network is pushed to the extreme limit. This is particularly so when the building penetration losses are high, as has been recently observed in actual field measurements. Furthermore, the dynamic outdoor DAS concept, studied also in this thesis, offers an efficient and capacity-adaptive solution to provide outdoor capacity, on-demand, in urban areas. In general, this thesis work provides tools, results, understanding, and insight of both technical and techno-economical aspects of long-term evolutionary perspectives of different mobile network deployment and densification solutions, which can be used by network vendors, operators, and device manufacturers.

AB - Recent data analytics from the mobile broadband networks have revealed an exponentially rising trend of mobile data traffic for the past five years. It is predicted that by 2020 the overall data traffic will increase by a factor of 1000x. This traffic growth is caused both by the increased adoption of smartphones and tablets, and by the increased usage of multimedia rich services, such as video streaming. Furthermore, most of this demand is likely to come from indoor users. In order to be able to meet the increased capacity needs, network densification has been identified as a viable pathway for mobile operators to evolve their networks. Network densification can be achieved by either densifying the existing legacy deployments, e.g. by deploying more macrocell sites or street-level microcells, or by deploying new indoor low-power sites, or both. Furthermore, different distributed antenna solutions offer an additional interesting aspect in network densification and deployments.This doctoral dissertation addresses network densification from alternative deployment strategies’ perspective, in particular, when individual densification solutions are pushed to their capacity limits, such that all the network elements operate at full load. It evaluates and compares the performance of different deployment strategies in terms of capacity-, energy- and cost- efficiency. The performance evaluations are carried out using propagation modeling based analysis and are based on a system-independent approach, integrating not only the classical capacity and spectral efficiency aspects, but also energy- and cost-efficiency perspectives, through realistic power consumption and investment cost models. The energy-efficiency aspects are seen particularly important when moving towards the era of green communications, under clear trends and incentives to save energy at all levels of society. Furthermore, the analysis integrates some of the recent findings related to substantially increased building penetration losses, through the use of more energy-efficient building materials.The obtained results indicate that the indoor femtocell-based solutions with densely deployed femto-cells are much more spectrally-, energy- and cost efficient approach to address the enormous indoor capacity demands of the 5G era and beyond, compared to densifying the outdoor legacy deployment solutions, when the network is pushed to the extreme limit. This is particularly so when the building penetration losses are high, as has been recently observed in actual field measurements. Furthermore, the dynamic outdoor DAS concept, studied also in this thesis, offers an efficient and capacity-adaptive solution to provide outdoor capacity, on-demand, in urban areas. In general, this thesis work provides tools, results, understanding, and insight of both technical and techno-economical aspects of long-term evolutionary perspectives of different mobile network deployment and densification solutions, which can be used by network vendors, operators, and device manufacturers.

M3 - Doctoral thesis

SN - 978-952-15-3581-9

T3 - Tampere University of Technology. Publication

BT - Capacity, Energy-Efficiency and Cost-Efficiency Aspects of Future Mobile Network Deployment Solutions

PB - Tampere University of Technology

ER -