Federated learning-empowered mobile network management for 5G and beyond networks: From access to core

J Lee, F Solat, TY Kim, HV Poor - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

A variegated look at 5G in the wild: performance, power, and QoE implications

A Narayanan, X Zhang, R Zhu, A Hassan… - Proceedings of the …, 2021 - dl.acm.org
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 …

Emp: Edge-assisted multi-vehicle perception

X Zhang, A Zhang, J Sun, X Zhu, YE Guo… - Proceedings of the 27th …, 2021 - dl.acm.org
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 …

Artificial intelligence of things: A survey

SI Siam, H Ahn, L Liu, S Alam, H Shen, Z Cao… - ACM Transactions on …, 2025 - dl.acm.org
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 …

Realtime mobile bandwidth and handoff predictions in 4G/5G networks

L Mei, J Gou, Y Cai, H Cao, Y Liu - Computer Networks, 2022 - Elsevier
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 …

AIChronoLens: advancing explainability for time series AI forecasting in mobile networks

C Fiandrino, EP Gómez, PF Pérez… - … -IEEE Conference on …, 2024 - ieeexplore.ieee.org
Next-generation mobile networks will increasingly rely on the ability to forecast traffic
patterns for resource management. Usually, this translates into forecasting diverse …

OnSlicing: online end-to-end network slicing with reinforcement learning

Q Liu, N Choi, T Han - Proceedings of the 17th International Conference …, 2021 - dl.acm.org
Network slicing allows mobile network operators to virtualize infrastructures and provide
customized slices for supporting various use cases with heterogeneous requirements …

Dissecting carrier aggregation in 5G networks: Measurement, QoE implications and prediction

W Ye, X Hu, S Sleder, A Zhang, UK Dayalan… - Proceedings of the …, 2024 - dl.acm.org
By aggregating multiple channels, Carrier Aggregation (CA) is an important technology for
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

B Sliwa, R Adam, C Wietfeld - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
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 …

Towards AI-enabled traffic management in multipath TCP: A survey

SJ Siddiqi, F Naeem, S Khan, KS Khan… - Computer Communications, 2022 - Elsevier
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 …