Resource Allocation in Software Defined Wireless Networks

Cao, Bin; Wang, Chonggang; Feng, Gang; Qin, Shuang; Zhou, Yafeng

doi:10.1109/mnet.2016.1500273nm

Cited by 23 publications

(9 citation statements)

References 10 publications

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“…Recently, most work on service provisioning for RAN slicing focuses on NS function virtualization and softwarizaion [7]- [9], where the optimization of resource configuration between multiple NSs as well as some NS deployment problems are investigated. Work [7] studies RAN resource splitting among multiple slices in a multi-cell network.…”

Section: Service Provisioning For Ran Slicingmentioning

confidence: 99%

“…Work [8] explores radio and core network resource allocation respectively for network slicing by using deep reinforcement learning. The authors in [9] provide a guidance to the optimization of resource configuration between multiple NSs. The authors first review the state-of-the-art research work on resource allocation, and then investigate the relationship between public and private wireless resources.…”

Section: Service Provisioning For Ran Slicingmentioning

confidence: 99%

“…and vectors ⌘ and ✓ are Lagrange multipliers containing the elements ⌘ j 0 and ✓ j,k 0 respectively. Note that constraints (3)(4)(5)(6)(7)(8) and (3)(4)(5)(6)(7)(8)(9) are inactive, sinceř n anď d n are not the optimization variables in P3(2). Thus, we ignore (3)(4)(5)(6)(7)(8) and (3)(4)(5)(6)(7)(8)(9) in this problem.…”

Section: Appendix B Solution Of Problem P3(2)mentioning

confidence: 99%

“…Unfortunately, while most recent related work focuses on resource management in NSs to accomplish optimal NS deployment [7]- [9], very little attention is paid to service provisioning scheme for RAN slicing. The most relevant work is on UE access control in NS-based networks.…”

Section: Introductionmentioning

confidence: 99%

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Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation

Sun

Qin

Feng

et al. 2021

IEEE Trans. on Mobile Comput.

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Network slicing (NS) has been identified as one of the most promising architectural technologies for future mobile network systems to meet the extremely diversified service requirements of users. In radio access networks (RAN) slicing, service provisioning for slice users becomes much more complicated than that in traditional mobile networks, as the constraints of both user physical association with base station (BS) and logical association with NS should be considered. In other words, the user-BS-NS three layer association relationship should be addressed in provisioning tailored service for diversified use cases with various quality of service (QoS) requirements. Therefore, service provisioning in RAN slicing becomes an essential yet challenging issue for 5G and beyond systems. In this paper, we propose a unified framework for service provisioning in RAN slicing with aim of maximizing resource utilization while guaranteeing QoS of users. The framework consists of two steps. The first step is to identify a set of slice users whose QoS can be satisfied simultaneously; while the second step performs joint slice association and bandwidth allocation with aim to minimize bandwidth consumption. Numerical results show that in typical scenarios, our proposed service provisioning framework can achieve significant performance gain in terms of the number of serving users and wireless bandwidth utilization compared with traditional schemes.

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Section: Service Provisioning For Ran Slicingmentioning

confidence: 99%

Section: Service Provisioning For Ran Slicingmentioning

confidence: 99%

Section: Appendix B Solution Of Problem P3(2)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Service Provisioning Framework for RAN Slicing: User Admissibility, Slice Association and Bandwidth Allocation

Sun

Qin

Feng

et al. 2021

IEEE Trans. on Mobile Comput.

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“…In [23], the authors adopt a centralized SDWN architecture to schedule downlink for multiple APs in WLANs, where all activated downlinks are cooperated to reduce the occurrence of collision by combining the DCF and a centralized queue scheduling algorithm for APs. Except these works applying the SDN architecture to mitigate the interference, other studies based on SDWN architecture are also proposed to solve the problems such as load balancing [24,25], service differentiation [26][27][28], and resource allocation [29]. In this paper, borrowing the function separation idea of the SDN architecture, we propose CCT-SDN to schedule intensively all downlinks among APs for solving the existing cochannel interference problems in multiple APs deployment scenarios.…”

Section: Related Workmentioning

confidence: 99%

SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs

Lei

Wang

Xia

2019

Wireless Communications and Mobile Computing

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Conventional DCF and RTS/CTS mechanisms perform the channel contention by a distributed and independent manner, which can lead to severe cochannel interference and low channel utilization in multiple APs dense deployment scenario. In this paper, we propose a channel scheduling cooperation algorithm called CCT-SDN (centralized concurrent transmission based on SDN) that enables multiple APs (Access Points) to perform cooperatively a centralized downlink transmission control, thus achieving higher system throughput and channel utilization by avoiding cochannel interference and implementing concurrent transmission. This design inherits the merit of the conventional distributed random channel access and adopts standardized OpenFlow protocol and Software Defined Network (SDN) architecture to make a centralized concurrent downlink traffic transmission decision among APs. Meanwhile, we also present a novel neighborhood relation storage scheme called SPRIM to enhance the retrieving efficiency of SDN controller, which enables CCT-SDN to perform a real-time control. Moreover, we also develop a theoretical model to prove the improvement of CCT-SDN. Furthermore, our solution does not require any modifications to existing ubiquitous 802.11 terminal devices and thus is likely to be widely deployed. Finally, extensive simulation results on Mininet-WiFi verify that CCT-SDN can achieve significant performance in terms of aggregate throughput, channel utilization, and packet loss rate in different deployment scenarios.

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