Optimizing packet forwarding performance in multiband relay networks via customized reinforcement learning

B Mughal, ZM Fadlullah, MM Fouda… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
In next-generation wireless networks, relay-based packet forwarding, emerged as an
appealing technique to extend network coverage while maintaining the required service …

Centralized versus heuristic-based distributed channel allocation to minimize packet transmission delay for multiband relay networks

B Mughal, ZM Fadlullah, S Ikki - IEEE Networking Letters, 2020 - ieeexplore.ieee.org
To address the high capacity versus limited coverage tradeoff in Fifth Generation (5G)
networks, in this letter, we introduce a relay-assisted network leveraging multiple frequency …

Applying game theory to relay resource selection in hybrid-band wireless systems

B Mughal, ZM Fadlullah, MM Fouda… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Although emerging relay-based communication networks boast of increased transmission
coverage and capacity, they currently lack schemes that optimize the simultaneous …

A deep learning method for predictive channel assignment in beyond 5G networks

S Sakib, T Tazrin, MM Fouda, ZM Fadlullah… - IEEE …, 2020 - ieeexplore.ieee.org
In Beyond Fifth Generation (B5G) networks, Internet of Things (IoT) and massive Machine
Type Communication (mMTC) traffic are anticipated to be offloaded by multi-hop, Device-to …

Hierarchical reinforcement learning for relay selection and power optimization in two-hop cooperative relay network

Y Geng, E Liu, R Wang, Y Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we study the outage probability minimizing problem in a two-hop cooperative
relay network. To reduce outage probability, existing studies propose many schemes for …

Reinforcement learning-based multihop relaying: A decentralized Q-learning approach

X Wang, X Wang - Entropy, 2021 - mdpi.com
Conventional optimization-based relay selection for multihop networks cannot resolve the
conflict between performance and cost. The optimal selection policy is centralized and …

SOLOR: self-optimizing WLANs with legacy-compatible opportunistic relays

A Garcia-Saavedra, B Rengarajan… - … ACM transactions on …, 2014 - ieeexplore.ieee.org
Current IEEE 802.11 WLANs suffer from the well-known rate anomaly problem, which can
drastically reduce network performance. Opportunistic relaying can address this problem …

Reinforcement Learning Based Policy Design for Outage Minimization in DF Relaying Networks

Y Geng, E Liu, R Wang, P Sun, B Lu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Relay-enabled cooperative communication has been a hot topic in the area of the Internet of
Things (IoT), for its help in providing important solutions to resource limitations in IoT …

Delay-constrained buffer-aided relay selection in the Internet of Things with decision-assisted reinforcement learning

C Huang, G Chen, Y Gong - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
This article investigates the reinforcement learning for the relay selection in the delay-
constrained buffer-aided networks. The buffer-aided relay selection significantly improves …

Leveraging cooperative, channel and multiuser diversities for efficient resource allocation in wireless relay networks

J Tang, B Mumey, K Zhubayev… - IEEE Journal on Selected …, 2012 - ieeexplore.ieee.org
Relay stations can be deployed between mobile stations and base stations in a single-hop
wireless network to extend its coverage and improve its capacity. In this paper, we exploit …