Caching-at-STARS: The next generation edge caching
A simultaneously transmitting and reflecting surface (STARS) enabled edge caching system
is proposed for reducing backhaul traffic and ensuring the quality of service. A novel …
is proposed for reducing backhaul traffic and ensuring the quality of service. A novel …
Exploiting Caching-at-STARS: Joint caching replacement and hybrid beamforming
A novel Caching-at-STARS structure, where dedicated smart controller and cache memory
are installed at the STARS, is proposed to satisfy user demands with fewer hops and desired …
are installed at the STARS, is proposed to satisfy user demands with fewer hops and desired …
Exploiting reconfigurable intelligent surfaces in edge caching: Joint hybrid beamforming and content placement optimization
Edge caching can effectively reduce backhaul burden at core network and increase quality-
of-service at wireless edge nodes. However, the beneficial role of edge caching cannot be …
of-service at wireless edge nodes. However, the beneficial role of edge caching cannot be …
Deep multi‐agent reinforcement learning for cooperative edge caching
Wireless edge caching is considered one of the key techniques to reduce data traffic
congestion in backhaul links. This chapter is devoted to the application of deep …
congestion in backhaul links. This chapter is devoted to the application of deep …
In-network caching for hybrid satellite-terrestrial networks using deep reinforcement learning
N Garg, M Sellathurai… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Large number of redundant requests in wireless networks have led to the hybrid satellite-
terrestrial networks, where a satellite is used for content placement at edge caches at the …
terrestrial networks, where a satellite is used for content placement at edge caches at the …
Deep multi-agent reinforcement learning based cooperative edge caching in wireless networks
The growing demand on high-quality and low-latency multimedia services has led to much
interest in edge caching techniques. Motivated by this, we in this paper consider edge …
interest in edge caching techniques. Motivated by this, we in this paper consider edge …
Deep Reinforcement Learning-Based Content Caching in Satellite-Terrestrial Assisted Airborne Communications
Z Guo, F Tang, X Chen, L Luo… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the continuous development of airborne communication, the demand for efficient
Internet access on airplanes has been increasing. To enhance the communication service …
Internet access on airplanes has been increasing. To enhance the communication service …
Learn to cache: Machine learning for network edge caching in the big data era
The unprecedented growth of wireless data traffic not only challenges the design and
evolution of the wireless network architecture, but also brings about profound opportunities …
evolution of the wireless network architecture, but also brings about profound opportunities …
Learning-Based Joint User Association and Cache Replacement for Cache-Enabled Cloud RAN
SE Jeon, JW Jung, K Lee… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
Mobile edge caching is regarded as a promising technology for reducing network latency
and alleviating network congestion by efficiently offloading data traffic and computations to …
and alleviating network congestion by efficiently offloading data traffic and computations to …
Deep reinforcement learning-based edge caching in single-cell wireless networks
R Wu, Q Li, X Ge - 2020 international conference on wireless …, 2020 - ieeexplore.ieee.org
In this paper, edge caching is considered in a single-cell network in order to alleviate the
traffic congestion of wireless networks as well as improve the users' quality of experience …
traffic congestion of wireless networks as well as improve the users' quality of experience …