Routing and Spectrum Assignment Based on Reinforcement Learning in Multi-Band Optical Networks
A routing and spectrum assignment strategy based on Reinforcement Learning (RL-RSA) is
proposed for multi-band optical networks. RL-RSA accounts for Stimulated Raman …
proposed for multi-band optical networks. RL-RSA accounts for Stimulated Raman …
Enabling Innovation in Spectrum Management
CJ Wu - Proceedings of the 6th Asia-Pacific Workshop on …, 2022 - dl.acm.org
We argue that the capital expenditures made by an individual mobile network operator is
extremely high and risky. Also, radio spectrum sharing still lacks intelligence in the current …
extremely high and risky. Also, radio spectrum sharing still lacks intelligence in the current …
Enabling Intelligence in Spectrum Sharing
CJ Wu - Authorea Preprints, 2023 - techrxiv.org
We argue that the capital expenditures made by an individual mobile network operator is
extremely high and risky. Also, radio spectrum sharing still lacks intelligence in the current …
extremely high and risky. Also, radio spectrum sharing still lacks intelligence in the current …
QoS-aware scheduling over hybrid optical wireless networks
Y Luo, S Yin, T Wang, Y Suemura… - National Fiber Optic …, 2007 - opg.optica.org
Hybrid optical wireless networks present the future-proof solution to the currently deployed
copper access infrastructure. Purposing to increase the network throughput under the hybrid …
copper access infrastructure. Purposing to increase the network throughput under the hybrid …
Two-stage stable matching based dynamic spectrum allocation in heterogeneous networks
J Zhang, Y Chen, Y Liu, T Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
This paper addresses the resource allocation problem for small cells in the two-tier
heterogeneous networks (HetNets) with non-independent resource blocks (RBs) usability …
heterogeneous networks (HetNets) with non-independent resource blocks (RBs) usability …
Experimental evaluation of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning
C Hernández-Chulde, R Casellas… - Journal of Optical …, 2023 - opg.optica.org
The introduction of futuristic and challenging use cases of 5G and 6G communications will
demand strict requirements in terms of high bandwidth and low latency. Optical backbone …
demand strict requirements in terms of high bandwidth and low latency. Optical backbone …
A Markovian approach to spectrum access in cooperative spectrum sharing networks
D Liu, W Wang, W Guo - 2013 8th International Conference on …, 2013 - ieeexplore.ieee.org
In cooperative spectrum sharing networks, dynamic spectrum access is regraded as an
important and challenging issue. In this paper, we consider a non-real-payoff cooperative …
important and challenging issue. In this paper, we consider a non-real-payoff cooperative …
An incentivized cooperative architecture for dynamic spectrum access networks
The existing dynamic spectrum access network architecture fails to offer incentives to
primary users (PUs). Therefore, PUs are unwilling to cooperate with secondary users (SUs) …
primary users (PUs). Therefore, PUs are unwilling to cooperate with secondary users (SUs) …
Q-learning-based spectrum access for content delivery in mobile networks
By the wide development of wireless communication technology, mobile networks are
becoming the promising paradigm for mobile users to access the Internet to download …
becoming the promising paradigm for mobile users to access the Internet to download …
An economic framework for spectrum allocation and service pricing with competitive wireless service providers
S Sengupta, M Chatterjee… - 2007 2nd IEEE …, 2007 - ieeexplore.ieee.org
In the future, we can expect to see more dynamic service offerings and profiles, as users
move from long-term service provider agreements to more opportunistic service models …
move from long-term service provider agreements to more opportunistic service models …