A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques

N Bui, M Cesana, SA Hosseini, Q Liao… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
A growing trend for information technology is to not just react to changes, but anticipate them
as much as possible. This paradigm made modern solutions, such as recommendation …

Adaptive bitrate selection: A survey

Y Sani, A Mauthe, C Edwards - IEEE Communications Surveys …, 2017 - ieeexplore.ieee.org
HTTP adaptive streaming (HAS) is the most recent attempt regarding video quality
adaptation. It enables cheap and easy to implement streaming technology without the need …

Adaptive wireless video streaming based on edge computing: Opportunities and approaches

D Wang, Y Peng, X Ma, W Ding, H Jiang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Dynamic Adaptive Streaming over HTTP (DASH) has been widely adopted to deal with such
user diversity as network conditions and device capabilities. In DASH systems, the …

Using wearables and machine learning to enable personalized lifestyle recommendations to improve blood pressure

PH Chiang, M Wong, S Dey - IEEE Journal of Translational …, 2021 - ieeexplore.ieee.org
Background: Blood pressure (BP) is an essential indicator for human health and is known to
be greatly influenced by lifestyle factors, like activity and sleep factors. However, the degree …

SA-EAST: security-aware efficient data transmission for ITS in mobile heterogeneous cloud computing

K Gai, L Qiu, M Chen, H Zhao, M Qiu - ACM Transactions on Embedded …, 2017 - dl.acm.org
The expected advanced network explorations and the growing demand for mobile data
sharing and transferring have driven numerous novel applications in Cyber-Physical …

Context-aware small cell networks: How social metrics improve wireless resource allocation

O Semiari, W Saad, S Valentin… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, a novel approach for optimizing resource allocation in wireless small cell
networks (SCNs) with device-to-device (D2D) communication is proposed. The proposed …

Downlink throughput prediction using machine learning models on 4G-LTE networks

A Al-Thaedan, Z Shakir, AY Mjhool, R Alsabah… - International Journal of …, 2023 - Springer
With the enormous evolution of the smartphone, especially with the appearance of the fourth
generation (4G) cellular networks, the demand for high-speed data rate, low latency, and …

A machine learning framework for predicting downlink throughput in 4G-LTE/5G cellular networks

A Al-Thaedan, Z Shakir, AY Mjhool, R Alsabah… - International Journal of …, 2024 - Springer
The current and next generations of cellular networks produce a massive amount of data.
With this vast parameter increase, cellular communication networks have grown incredibly …

4G LTE network throughput modelling and prediction

H Elsherbiny, HM Abbas, H Abou-zeid… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
The past decade has witnessed a staggering evolution in cellular networks. Mobile wireless
technologies have undergone four distinct generations; from uncomplicated voice calls in …

[HTML][HTML] Prediction-based energy saving mechanism in 3GPP NB-IoT networks

J Lee, J Lee - Sensors, 2017 - mdpi.com
The current expansion of the Internet of things (IoT) demands improved communication
platforms that support a wide area with low energy consumption. The 3rd Generation …