A close examination of performance and power characteristics of 4G LTE networks

By Junxian Huang, Feng Qian, Alexandre Gerber, Z. Morley Mao, Subhabrata Sen, Oliver Spatscheck. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2012

1,062 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/036277d492dd5777e87e5b33ffd809e5c617a37a

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In Electrical and Electronic Engineering

Citations in the corpus

Computation Offloading Toward Edge Computing (2019, background): “Moreover, 3G and 4G LTE have high tail energy [82] that incurs additional energy cost after completing data transfer.”
Optimizing 360 video delivery over cellular networks (2016, background): “Also, down-loading excessive data hurts mobile devices’ battery life because cellular radio is known to be energy-hungry: when in active use, the LTE radio accounts for at least 50% of the entire smartphone’s energy consumption [16].”
On Global Electricity Usage of Communication Technology: Trends to 2030 (2015, background): “The general problems and opportunities regarding electricity usage of WAN have been widely discussed [111–116].”
DREAM: Dynamic Resource and Task Allocation for Energy Minimization in Mobile Cloud Systems (2015, methodology): “1(a), which is based on [7] (for network power) and our measurements in Section V (for CPU power).”
An in-depth study of LTE: effect of network protocol and application behavior on performance (2013, methodology): “Such a timeout, which is called tail time , saves energy by taking the device to the idle state once it ﬁnishes, and prevents frequent radio state switches [13].”
A variegated look at 5G in the wild: performance, power, and QoE implications (2021, methodology): “4), which is in consensus to prior work on 3G/4G [31].”
Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing (2017, background): “The authors of [25] have pointed out the energy consumption with the use of LTE and radio networks is much higher than the energy consumption for WiFi.”
MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints (2016, background): “Note the packet transmit numbers are representative numbers based on measurements by us and others, but for instance LTE packet transmit overhead may be as high as 12J for a single packet [24], and a 100ms round trip over a 700mW WiFi link could take as little as 0.”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, background): “The power characteristics of 4G LTE networks [221] show that the devices need more power for high throughput transmissions, which is the case for with MAR with ofﬂoading.”
A measurement-based study of MultiPath TCP performance over wireless networks (2013, background): “Furthermore, since cellular 3G/4G antennas have state machines for radio resources allocation and management of energy consumption, the state promotion delay (the time duration required to bring the antenna to ready state) is often longer than packet RTTs [11,12] and might significantly impact our s”
Cloud-Based or On-Device: An Empirical Study of Mobile Deep Inference (2017, background): “To better understand the performance and power characteristics of modern mobile applications, researchers have developed a number of performance monitor tools, such as 3GTest [29], 4GTest [30], AppInsight [31], eprof [32], and Trepn [24] over the past decade.”
Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs (2016, background): “LTE would introduce too much latency and would not scale.(27)”
Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds (2014, background): “LTE would introduce too much latency and would not scale [14].”
Frodo: Take off the Ring! Practical, Quantum-Secure Key Exchange from LWE (2016, background): “This could be useful in mobile devices, where energy efficiency of uploads is at most half that of downstream traffic [62, 35].”
Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption (2020, background): “We can observe that the long tail stage, while existing in 4G [42], is exacerbated by the 5G NSA architecture.”
COMET: Code Offload by Migrating Execution Transparently (2012, positive): “Cellular carriers are currently adopting 4G LTE, which provides higher bandwidths and lower latencies than 3G [16].”