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Scheduling and Optimization of Wireless Virtual Network Resources Based on Reinforcement Learning
2022
Wireless Communications and Mobile Computing
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To this end, a wireless virtual network resource scheduling model based on user satisfaction is constructed, and a reinforcement learning-based wireless virtual network resource scheduling mechanism, IRSUP ...
With the booming and proliferation of 5G wireless network services in the future, a large number of wireless virtual network resources will emerge, and the densification and heterogeneity of the wireless ...
The virtual layer is responsible for segmenting and reorganizing the physical resources from the In P to form virtual network resources, i.e., virtual spectrum resources and virtual wireless self-backhaul ...
doi:10.1155/2022/4509434
fatcat:mp4fvfpoe5gill4utvwom7ojxi
Dynamic Resource Provisioning and Resource Customization for Mixed Traffics in Virtualized Radio Access Network
2019
IEEE Access
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In this paper, we propose a dynamic resource provisioning scheme involving mixed traffics with multiple base stations in a virtualized radio access network. ...
To achieve this objective, network virtualization is needed to partition the physical network into various network slices with each slice providing a unique service in the network. ...
Kokku and co proposed network virtualization substrate (NVS) that achieves effective virtualization of wireless resources in cellular networks in [7] . ...
doi:10.1109/access.2019.2935606
fatcat:tdav4ktsffcpdpl2xjeaxfuoca
A Survey on Integrated Access and Backhaul Networks
[article]
2021
arXiv
pre-print
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2021 accepted arXiv:2101.01286v2 fatcat:4cnd7fid2bauvif7rlvhe62s6q
Benefiting from the usage of the high-frequency band, utilizing part of the large available bandwidth for wireless backhauling is feasible without considerable performance sacrifice. ...
In this paper, we first give a brief introduction of IAB based on the 3GPP release. ...
In particular, they considered the requirements for network queue stability, average throughput of different SPs, and the backhaul link capacity. ...
arXiv:2101.01286v1
fatcat:tlclycckznel5huuxuwcnn6ysm
A Survey on Integrated Access and Backhaul Networks
2021
Frontiers in Communications and Networks
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Benefiting from the usage of the high-frequency band, utilizing part of the large available bandwidth for wireless backhauling is feasible without considerable performance sacrifice. ...
Then, the existing research on IAB networks based on 3GPP specifications and possible non-3GPP research extensions are surveyed. ...
In particular, they considered the requirements for network queue stability, average throughput of different SPs, and backhaul link capacity. ...
doi:10.3389/frcmn.2021.647284
fatcat:fx4on6was5ghlokplkrugowgye
System architecture and key technologies for 5G heterogeneous cloud radio access networks
2015
IEEE Network
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2014 pre-print arXiv:1412.6677v1 fatcat:nqobp6umurcxzcyebefzyo5orq
The principles, performance gains and open issues of key technologies including adaptive large-scale cooperative spatial signal processing, cooperative radio resource management, network function virtualization ...
The major challenges in terms of fronthaul constrained resource allocation optimization and energy harvesting that may affect the promotion of H-CRANs are discussed as well. ...
This can be understood by the fact that more RBs and power are allocated to RUEs to maintain the queue stability, leaving less resource for HUEs which are intended to access RRHs. ...
doi:10.1109/mnet.2015.7064897
fatcat:nfmtb3scc5epjgiqcobcnf7vfa
Game Theory-Based Load-Balancing Algorithms for Small Cells Wireless Backhaul Connections
2023
Applied Sciences
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The paper proposes several Game Theory (GT)-based Load-Balancing (LB) algorithms for distributing the traffic of the small cell users over the macro cell links. ...
5G wireless networks have as one of the main characteristics the large-scale deployment of small cells (microcells, picocells, etc.), which is expected to bring several advantages in what concerns the ...
An analysis of the usage of mesh WiFi 802.11n networks for provisioning the backhaul connections for picocells is presented in [7] , and a self-optimizing partial mesh wireless backhaul solution is proposed ...
doi:10.3390/app13031485
fatcat:xiorpvndjre65i44x3zcroxtxa
2019 Index IEEE Transactions on Network and Service Management Vol. 16
2019
IEEE Transactions on Network and Service Management
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., +, T-NSM March 2019 56-71 Profile-Based Resource Allocation for Virtualized Network Functions. ...
., +, T-NSM Dec. 2019 1537-1551 Profile-Based Resource Allocation for Virtualized Network Functions. ...
doi:10.1109/tnsm.2019.2960621
fatcat:zdo7i4plobaqxp54v7624wkrxi
Wireless Network Virtualization: A Survey, Some Research Issues and Challenges
2015
IEEE Communications Surveys and Tutorials
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Since wireless network virtualization enables abstraction and sharing of infrastructure and radio spectrum resources, the overall expenses of wireless network deployment and operation can be reduced significantly ...
isolation, control signaling, resource discovery and allocation, mobility management, network management and operation, and security as well as non-technical issues such as governance regulations, etc ...
ACKNOWLEDGMENT We thank the reviewers for their detailed reviews and constructive comments, which have helped to improve the quality of this paper. ...
doi:10.1109/comst.2014.2352118
fatcat:eihz4mdguzbepowj4x42pgsuc4
Wireless Backhaul in 5G and Beyond: Issues, Challenges and Opportunities
[article]
2021
arXiv
pre-print
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However, with these new technologies, fiber is no longer the foremost technology for backhauling. With the projected densification of networks, wireless backhaul has become mandatory to use. ...
Resource allocation, deployment, scheduling, power management and energy efficiency are some of these problems. ...
UAVs use self-backhauling and share the spectrum resources with the terrestrial network. ...
arXiv:2103.08234v2
fatcat:3fug6wsmtrg5bfxk2ga2f2al5i
Joint Load Balancing and Interference Mitigation in 5G Heterogeneous Networks
2017
IEEE Transactions on Wireless Communications
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with a large number of antennas, overlaid with wireless self-backhauled small cells (SCs) are assumed. ...
closed access ones in ultra-dense networks with 350 small cell base stations per km2 . ...
9 Due to different traffic model for DL and UL, the ratio configuration for DL and UL transmission time will be varied. ...
doi:10.1109/twc.2017.2718504
fatcat:jzqhqgcs5jfsfkq524ipc4ejq4
Architectures and Bandwidth Allocation Schemes for Hybrid Wireless-Optical Networks
2015
IEEE Communications Surveys and Tutorials
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Moreover, as the up-todate hybrid network standards remain under development, since there is not yet an integrated standard for approving hybrid network access platforms, we accompany this survey with ...
At the same time, hybrid wireless-optical networks pose as an ambitious, alternative, and efficient solution to cope with new, bandwidth-hungry user applications. ...
In the context of a modern hybrid wireless-optical network, the aim is to identify the virtual topology, determine the virtual resources, and implement a fair resource allocation over the wireless and ...
doi:10.1109/comst.2014.2356640
fatcat:ezkbm7rbincmzhv54764odjncy
Realizing the Tactile Internet: Haptic Communications over Next Generation 5G Cellular Networks
2017
IEEE wireless communications
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2015 pre-print arXiv:1510.02826v1 fatcat:4cjkxzo2nfhgponjccvl5zuzuuOther Versions
Design efforts for both the Tactile Internet and the underlying haptic communications are in its infancy. ...
With voice and data communications driving the designs of the current Internets, the Tactile Internet will enable haptic communications, which in turn will be a paradigm shift in how skills and labor are ...
Gerhard Fettweis, TU Dresden, Germany, for the fruitful discussions on this topic. ...
doi:10.1109/mwc.2016.1500157rp
fatcat:scghurvr3zdxdo4ycq5wucu37a
Resource Allocation in Multi-Radio Multi-Channel Multi-Hop Wireless Networks
2008
2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications
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A joint congestion control, channel allocation and scheduling algorithm for multi-channel multi-interface multihop wireless networks is discussed. ...
The goal of maximizing a utility function of the injected traffic, while guaranteeing queues stability, is defined as an optimization problem where the input traffic intensity, channel loads, interface ...
A greedy scheduler based on the outcome of the previous LP solution is then applied for solving the actual resource allocation. A similar analysis is also found in [7] . ...
doi:10.1109/infocom.2007.110
fatcat:gxej2a6asfbrjgycq2m2zsnkey
Resource Allocation in Multi-Radio Multi-Channel Multi-Hop Wireless Networks
2008
IEEE INFOCOM 2008 - The 27th Conference on Computer Communications
Preserved Fulltext
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A joint congestion control, channel allocation and scheduling algorithm for multi-channel multi-interface multihop wireless networks is discussed. ...
The goal of maximizing a utility function of the injected traffic, while guaranteeing queues stability, is defined as an optimization problem where the input traffic intensity, channel loads, interface ...
A greedy scheduler based on the outcome of the previous LP solution is then applied for solving the actual resource allocation. A similar analysis is also found in [7] . ...
doi:10.1109/infocom.2008.110
dblp:conf/infocom/MerlinVZ08
fatcat:urcpyghgrzdo5gd2h7omvbpzhq
Software Defined Applications in Cellular and Optical Networks
[article]
2017
arXiv
pre-print
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A novel access backhaul network architecture based on a Smart Gateway (Sm-GW) between the small cell base stations, e.g., LTE eNBs, and the conventional backhaul gateways, e.g., LTE Servicing/Packet Gateways ...
Small wireless cells have the potential to overcome bottlenecks in wireless access through the sharing of spectrum resources. ...
SDN-LayBack -an Advanced Wireless Network Backhaul Architecture This paper proposes SDN-LayBack, a fundamentally novel backhaul architecture for wireless backhaul access networks based on software defined ...
arXiv:1712.02951v1
fatcat:qq4b2qnxtna7hagjdagbllz77e
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