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This article is focused on the area of client mobility in Software-Defined Networking (SDN) for 802.11 standards. Recently, there are a few SDN solutions how to perform smooth and fast handover. Usually these solutions are using separated control channel for control 802.11 functionality. In our work, we demonstrate efficiency of common control chan...
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... experiments were conducted in the 802.11b wireless environment on channel 11. In most tests, there was a large amount of external interference from other wireless networks, which can be seen in Fig. 6. Tests were performed in an indoor environment in order to achieve realistic test's conditions (see Fig. 6). ...
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... experiments were conducted in the 802.11b wireless environment on channel 11. In most tests, there was a large amount of external interference from other wireless networks, which can be seen in Fig. 6. Tests were performed in an indoor environment in order to achieve realistic test's conditions (see Fig. 6). ...
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... experiments were conducted in the 802.11b wireless environment on channel 11. In most tests, there was a large amount of external interference from other wireless networks, which can be seen in Fig. 6. Tests were performed in an indoor environment in order to achieve realistic test's conditions (see Fig. 6). ...
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... experiments were conducted in the 802.11b wireless environment on channel 11. In most tests, there was a large amount of external interference from other wireless networks, which can be seen in Fig. 6. Tests were performed in an indoor environment in order to achieve realistic test's conditions (see Fig. 6). ...
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... Для улучшения производительности сети и задержки передачи обслуживания в мобильной среде было бы лучше интегрировать управление передачей обслуживания с SDN, поскольку концепция SDN упрощает архитектуру и дизайн интегрированной системы [7]. Кроме того, SDN представляет механизмы для улучшения соединений, мобильности клиентов, балансировки нагрузки и управления сетью WiFi. ...
Мобильность пользовательского оборудования (UE) в сотовой сети является сложной задачей с точки зрения контроля и управления. Текущая традиционная передача обслуживания в сети Long-Term Evolution (LTE) управляется усовершенствованным узлом B или eNodeB (eNB), который представляет собой децентрализованное решение. В отличие от существующей технологии, программно-определяемая сеть (SDN) имеет возможность обслуживать пакеты коммутационного оборудования без участия контроллера SDN, за исключением первого. В соответствии с нашим решением «бесшовный» переход активного мобильного устройства из зоны действия одной базовой станции в зону действия другой без разрыва соединения - так называемый «хэндовер» (handover) управляется контроллером SDN, который отслеживает общее управление сетью и диктует записи потоков для коммутаторов OpenFlow в сети. Из результатов исследования будет видно, что наш подход отслеживает всю сеть на централизованном контроллере с улучшенной производительностью.
User equipment (UE) mobility in a cellular network is a complex task in terms of control and management. The current legacy Long-Term Evolution (LTE) network handoff is managed by an evolved Node B or eNodeB (eNB), which is a decentralized solution. Unlike existing technology, software-defined network (SDN) has the ability to serve packets of switching equipment without the participation of the SDN controller, except for the first one. In accordance with our solution, a "seamless" transition of an active mobile device from the coverage of one base station to the coverage of another without breaking the connection - the so-called "handover" (handover) is controlled by the SDN controller, which monitors the overall management of the network and dictates flow records for OpenFlow switches online. From the results of the study, it will be seen that our approach monitors the entire network on a centralized controller with improved performance.
... switches and controller and the memory which must be efficiently utilized. Kostal K, Bencel R, Ries, M, Kotuliak, (2018) according to SDN principles, they proposed the enhanced architecture [8] what resulted to merged control channels for SDN-WLAN wireless and wired part of the network to one control channel. He proposed the extension of Open Flow protocol for ensuring the wireless functionality and also changes in AP and SDN Controller Components for Network management. ...
... The personal access point does not require any modification in physical and medium access (MAC) layers. We already presented our initial experiments in two conference papers [5,6] which are extended in this paper. We added formal verification model, Colored Petri Nets, which prove correctness and scalability of the radio resources control for large networks. ...
Wireless Local Area Network (WLAN) infrastructure is a dominant technology for direct access to the Internet and for cellular mobile data traffic offloading to WLANs. Additionally, the enterprise infrastructure can be used to provide functionality for the Internet of Things and Machine to Machine scenarios. This work is focused on improvements of radio resources control scalability similar to mobile networks via handover between cells. We introduce an improved IEEE 802.11 architecture utilizing Software-Defined Networks (SDNs). The proposed architecture allows communications during device movements without losing a quality of service (QoS). The fast seamless handover with QoS enables efficient usage of radio resources in large networks. Our improvements consist of integrating wireless management to OpenFlow protocol, separating encryption and decryption from an access point. In parallel, this feature as a side effect unloads processing at the Access Points (APs). Finally, the functionality of architecture design and scalability was proven by Colored Petri Nets (CPNs). The second proof of our concept was performed on two scenarios. The first scenario was applied to a delay sensitive use case. The second scenario considers a network congestion in real world conditions. Client’s mobility was integrated into both scenarios. The design was developed to demonstrate SDN WLAN architecture efficiency.
... However, both solutions are suffering from similar drawbacks usage of separated control channels for management. [36] bridges virtual and physical APs in order to achieve clean and transparent architecture of SDN network, resulting in the incorporation of control channels for wired portion of the network to one control channel. But the handoff decision algorithm still leaves much to be optimized. ...
So far the handoff management involved in Wireless Local Area Network (WLAN) has mainly fallen into the handoff mechanism and the decision algorithm. The traditional handoff mechanism generates noticeable delays during the handoff process, resulting in discontinuity of service, which is more evident in dense WLANs. Inspired by software-defined networking (SDN), prior works put forward many seamless handoff mechanisms to ensure the service continuity. With respect to the handoff decision algorithm, when to trigger handoff and which access point to reconnect to, however, are still tricky problems. In this paper, we first design a self-learning architecture applicable to the SDN-based WLAN frameworks. Along with it, we propose DCRQN, a novel handoff management scheme based on deep reinforcement learning, specifically deep Q-network. The proposed scheme enables the network to learn from actual users’ behaviors and network status from the scratch, adapting its learning in time-varying dense WLANs. Due to the temporal correlation property, the handoff decision is modeled as the Markov Decision Process (MDP). In modeled MDP, the proposed scheme depends on the real-time network statistics at time of decisions. Moreover, convolutional neural network and recurrent neural network are leveraged to extract fine-grained discriminative features. Numerical results through simulation demonstrate that DCRQN can effectively improve the data rate during the handoff process, outperforming the traditional handoff scheme.
... In this article, our solution bridges virtual and physical APs in order to achieve efficient seamless handover. The proposed architecture is derived from the Odin framework and extends solution in [7] and our previous article [10]. Our extension improves original Odin framework in following points: more efficient use of 802.11 network resources and improved security ISBN 978-3-903176-03-4© 2018 IFIP of network management. ...
This article focuses on mobility of stations under
802.11 standards, with use of Software-Defined Networking
(SDN). Lately, there are several SDN-based solutions for seamless
handover. These solutions typically use separate control channels
to utilize the wireless part of network. In our work, we
demonstrate high performance of SDN WLAN architecture under
real word test scenarios. Our common control channels solution
extends the OpenFlow protocol. Our proposed method is notably
improving performance of network architecture in next topics:
network scalability, security and parallelly it allows delay critical
scenarios to be delivered smoothly including seamless handover.
The mobility of user equipment (UE) in cellular network is a challenging issue in terms of its management. Current traditional handover in Long-Term Evolution (LTE) network is managed by evolved Node B or eNodeB (eNB) which is a decentralized solution. In contrast to existing technology, software defined network (SDN) has the capability of serving the packets of the switching equipment without involving the SDN controller except for the first one. We have proposed an SDN-based centralized solution for handover management in LTE network. Based on our solution, the handover is being managed by SDN controller which keeps track of the overall network management and dictates the flow entries to the OpenFlow switches in the network. In our testbed, two UEs are connected to two eNBs, and one of the UE performs a handover from one eNB to other eNB. It enhances the performance of the network in terms of reducing the delay while performing the handover and increasing the data rate of the running application. The initial delay will be bit higher due to the initial flow entry absence in the flow tables of the switches; later, the delay will be reduced. It is evident from the results that our approach keeps track of the overall network at centralized controller with improved performance.
Timely made handover decision between wireless access points (APs) in extended service set (ESS) WiFi network infrastructure with fast moving objects can reduce goodput degradation and interruptions of wirelessly transmitted data and consequently increase the average goodput and decrease the average response time of the network. Handover process has to occur on several layers (e.g. data link layer, network layer, application layer), therefore all these layers contribute to the common delay in the handover process. The 802.11k/r/v standards can be inspected together to effectively improve the handover performance. The handover issue in the data link layer can be mitigated using 802.11v standard to implement network assisted handover for directing poorly connected clients. This work presents recommendations and practical solution with improved handover procedure in WiFi based vehicular communication networks (VCNs).
