A5072311830- IoT and Edge/Fog Computing
- Advanced MIMO Systems Optimization
- Energy Harvesting in Wireless Networks
- Energy Efficient Wireless Sensor Networks
- Wireless Body Area Networks
- Caching and Content Delivery
- Smart Parking Systems Research
- Human Mobility and Location-Based Analysis
- Advanced Memory and Neural Computing
- IoT Networks and Protocols
- Molecular Communication and Nanonetworks
- Recommender Systems and Techniques
- Millimeter-Wave Propagation and Modeling
- Wireless Communication Networks Research
- Software-Defined Networks and 5G
- Privacy-Preserving Technologies in Data
- Advanced Optical Network Technologies
University of York
2022-2024
Proactively caching content at the network edge is particularly effective in high-mobility vehicular networks, where intermittent connection major challenge for seamless transmission. The objective of this paper to achieve proactive networks by mobility prediction, specifically predicting next roadside unit (RSU) a vehicle with reinforcement learning techniques. proposes two algorithms based on multi-armed bandit (MAB) learning, non-contextual MAB and contextual MAB, respectively. This fills...
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The proliferation of 5G technology presents an unprecedented challenge in managing the energy consumption densely deployed network infrastructures, particularly Base Stations (BSs), which account for majority power usage mobile networks. O-RAN architecture, with its emphasis on open and intelligent design, offers a promising framework to address Energy Efficiency (EE) demands modern telecommunication systems. This paper introduces two xApps designed architecture optimize savings without...
Open Radio Access Network (RAN) is a transformative paradigm that supports openness, interoperability, and intelligence, with the O-RAN architecture being most recognized framework in academia industry. In context of RAN, importance Energy Saving (ES) heightened, especially current direction network densification sixth generation mobile networks (6G). Traditional energy-saving methods RAN struggle increasing dynamics network. This paper proposes using Reinforcement Learning (RL), subset...
Proactive edge caching has been regarded as an effective approach to satisfy user experience in mobile networks by providing seamless content transmission and reducing network delay. This is particularly useful rapidly changing vehicular networks. paper addresses the proactive (at roadside unit (RSU)) problem mobility prediction, i.e., next RSU prediction. Specifically, proposes a distributed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Integrated access and backhaul (IAB) networks offer transformative benefits, primarily their deployment flexibility in locations where fixed faces logistical or financial challenges. This is further enhanced by IAB’s inherent ability for adaptive network expansion. However, existing IAB planning models, which are grounded the facility location problem predominantly addressed through linear programming, tend to neglect crucial geographical constraints. These constraints arise from specific...