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A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and optimization techniques
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 …
as much as possible. This paradigm made modern solutions, such as recommendation …
Adaptive bitrate selection: A survey
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 …
adaptation. It enables cheap and easy to implement streaming technology without the need …
Adaptive wireless video streaming based on edge computing: Opportunities and approaches
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 …
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
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 …
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
The expected advanced network explorations and the growing demand for mobile data
sharing and transferring have driven numerous novel applications in Cyber-Physical …
sharing and transferring have driven numerous novel applications in Cyber-Physical …
Context-aware small cell networks: How social metrics improve wireless resource allocation
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 …
networks (SCNs) with device-to-device (D2D) communication is proposed. The proposed …
Downlink throughput prediction using machine learning models on 4G-LTE networks
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 …
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
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 …
With this vast parameter increase, cellular communication networks have grown incredibly …
4G LTE network throughput modelling and prediction
The past decade has witnessed a staggering evolution in cellular networks. Mobile wireless
technologies have undergone four distinct generations; from uncomplicated voice calls in …
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 …
platforms that support a wide area with low energy consumption. The 3rd Generation …