Improving Downlink UMTS Capacity by Exploiting Direct Mobile-to-Mobile Data Transfer

2007 ◽  
Author(s):  
Larissa Popova ◽  
Thomas Herpel ◽  
Wolfgang Koch
Keyword(s):  
Data Transfer ◽  
Mobile Data

Crowdsourced Mobile Data Transfer with Delay Bound

2016 ◽  
Vol 16 (4) ◽  
pp. 1-29 ◽  
Author(s):  
Ngoc Do ◽  
Ye Zhao ◽  
Cheng-Hsin Hsu ◽  
Nalini Venkatasubramanian
Keyword(s):  
Data Transfer ◽  
Delay Bound ◽  
Mobile Data

EMUNE: Architecture for Mobile Data Transfer Scheduling with Network Availability Predictions

2011 ◽  
Vol 17 (2) ◽  
pp. 216-233 ◽  
Author(s):  
Upendra Rathnayake ◽  
Henrik Petander ◽  
Maximilian Ott ◽  
Aruna Seneviratne
Keyword(s):  
Data Transfer ◽  
Mobile Data ◽  
Network Availability

scholarly journals Evaluating the Energy Consumption of Mobile Data Transfer—From Technology Development to Consumer Behaviour and Life Cycle Thinking

2018 ◽  
Vol 10 (7) ◽  
pp. 2494 ◽  
Author(s):  
Hanna Pihkola ◽  
Mikko Hongisto ◽  
Olli Apilo ◽  
Mika Lasanen
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Mobile Networks ◽  
Energy Demand ◽  
Consumer Behaviour ◽  
Energy Use ◽  
Energy Savings ◽  
Data Transfer ◽  
Life Cycle Thinking ◽  
Mobile Data

Mobile data consumption in Finland is among the highest in the world. The increase in mobile data usage has been rapid and continual future growth is foreseen. Simultaneously, consumer behaviour is changing. While new end-user devices are more and more energy-efficient and energy consumption per transferred gigabyte has significantly decreased, people spend more time and consume more data via their mobile devices than ever before. Does the increased usage outweigh the energy savings that have been achieved? What options are available for tackling increasing energy demand? And should consumers have a role to play in this discussion? This paper examines the current and future trends that results from the energy consumption of mobile data transfer and mobile networks in Finland. The findings presented in this paper are based on a top-down energy intensity estimate and publicly available data, which was employed to construct an illustrative trend (kWh/gigabyte) for the energy consumption of transmitted mobile data for the years 2010–2017. In addition, energy consumption related to mobile data transfer is discussed from a life cycle perspective, considering both direct and indirect energy use. Finally, the challenges in conducting such assessments are examined.

Mobile Data Transfer Scheduling with Uncertainty

2010 ◽  
Author(s):  
U. Rathnayake ◽  
M. Iftikhar ◽  
M. Ott ◽  
A. Seneviratne
Keyword(s):  
Data Transfer ◽  
Mobile Data

scholarly journals Experimental Evaluation of the Shadowing of a Planar Antenna Caused by a Quadcopter Frame

2020 ◽  
Vol 16 (1) ◽  
pp. 37-43
Author(s):  
Ibrahim Heydarov ◽  
Deniss Brodnevs
Keyword(s):  
Data Transfer ◽  
Low Cost ◽  
Near Field ◽  
Outer Boundary ◽  
Planar Antenna ◽  
Planar Antennas ◽  
Mobile Data ◽  
Receiver Diversity ◽  
Communication Module ◽  
Shadowing Effect

AbstractThe use of mobile data transfer can significantly increase the range of the remote-controlled operation of multirotor aerial vehicles. The planar antennas of ready-to-use 3G/LTE cellular communication dongles provide a low-cost and lightweight communication solution. In this paper, antenna shadowing caused by a quadcopter frame is experimentally investigated. The communication module is a 3G/LTE “Huawei 3372h” dongle with two planar built-in antennas and a receiver diversity function. The quadcopter frame is a widely used “F450” with Nylon arms and a PCB centre. It has been found that in order to minimize the antenna shadowing effect, planar antennas should be installed at the bottom of the frame, in parallel with the frame, with an air gap not less than the distance to the outer boundary of the reactive Near Field (NF).

scholarly journals Energy consumption of mobile data transfer – Increasing or decreasing? Evaluating the impact of technology development & user behavior

10.29007/ddrc ◽  
2018 ◽  
Author(s):  
Hanna Pihkola ◽  
Mikko Hongisto ◽  
Olli Apilo ◽  
Mika Lasanen ◽  
Saija Vatanen
Keyword(s):  
Energy Consumption ◽  
Consumer Behavior ◽  
Mobile Networks ◽  
Energy Demand ◽  
Energy Use ◽  
Data Transfer ◽  
Continuous Growth ◽  
Mobile Data ◽  
Trade Offs ◽  
The Impact

Mobile data consumption in Finland is among the highest in the world. Increase in mobile data usage has been rapid and continuous growth is foreseen. While the energy consumed per transmitted gigabyte has substantially decreased, it seems that the absolute annual energy consumption related to mobile operators’ activities has started to increase. Simultaneously, consumer behavior is changing. While new end-user devices are more and more energy-efficient, we use more and more time with mobile devices. Is increasing usage outweighing achieved energy savings? What kinds of options are available for tackling increasing energy demand?This paper discusses current and future trends related to energy consumption of mobile data transfer and mobile networks in Finland. Using a top-down approach and publicly available data, an illustrative trend (kWh/gigabyte) for the energy consumption of transmitted mobile data was constructed for the years 2010-2016. In addition, energy consumption related to mobile data transfer is discussed from a life cycle perspective, considering both direct and indirect energy use and challenges in conducting such assessments. Contributions of relevant technological and social developments (radio network technology transformations from 4G to 5G and consumer behavior) are analyzed considering possible trade-offs and pointing out aspects that require future studies.

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