Federated learning-empowered mobile network management for 5G and beyond networks: From access to core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
A variegated look at 5G in the wild: performance, power, and QoE implications
Motivated by the rapid deployment of 5G, we carry out an in-depth measurement study of the
performance, power consumption, and application quality-of-experience (QoE) of …
performance, power consumption, and application quality-of-experience (QoE) of …
Emp: Edge-assisted multi-vehicle perception
Connected and Autonomous Vehicles (CAVs) heavily rely on 3D sensors such as LiDARs,
radars, and stereo cameras. However, 3D sensors from a single vehicle suffer from two …
radars, and stereo cameras. However, 3D sensors from a single vehicle suffer from two …
Artificial intelligence of things: A survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
Realtime mobile bandwidth and handoff predictions in 4G/5G networks
Mobile apps are increasingly relying on high-throughput and low-latency content delivery,
while the available bandwidth on wireless access links is inherently time-varying. The …
while the available bandwidth on wireless access links is inherently time-varying. The …
AIChronoLens: advancing explainability for time series AI forecasting in mobile networks
Next-generation mobile networks will increasingly rely on the ability to forecast traffic
patterns for resource management. Usually, this translates into forecasting diverse …
patterns for resource management. Usually, this translates into forecasting diverse …
OnSlicing: online end-to-end network slicing with reinforcement learning
Network slicing allows mobile network operators to virtualize infrastructures and provide
customized slices for supporting various use cases with heterogeneous requirements …
customized slices for supporting various use cases with heterogeneous requirements …
Dissecting carrier aggregation in 5G networks: Measurement, QoE implications and prediction
By aggregating multiple channels, Carrier Aggregation (CA) is an important technology for
boosting cellular network bandwidth. Given diverse radio bands made available in 5G …
boosting cellular network bandwidth. Given diverse radio bands made available in 5G …
Client-based intelligence for resource efficient vehicular big data transfer in future 6G networks
Vehicular big data is anticipated to become the “new oil” of the automotive industry which
fuels the development of novel crowdsensing-enabled services. However, the tremendous …
fuels the development of novel crowdsensing-enabled services. However, the tremendous …
Towards AI-enabled traffic management in multipath TCP: A survey
Numerous applications on the web use transmission control protocol (TCP) as a transport
protocol to ensure efficient and fair sharing of network resources among users. With the …
protocol to ensure efficient and fair sharing of network resources among users. With the …