AP Selection Scheme Based on Achievable Throughputs in SDN-Enabled WLANs

Peng, Min; He, Guoyin; Wang, Lusheng; Kai, Caihong

doi:10.1109/access.2018.2888638

Cited by 12 publications

(17 citation statements)

References 25 publications

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“…Since stations wait for the beacon message passively, the passive scanning procedure will take more time generally than that of the active scanning procedure. Based on the both scanning procedures, stations can recognize the list of nearby APs and try to connect with one appropriate AP among them [17,18].…”

Section: A Related Workmentioning

confidence: 99%

AP-based CW Synchronization Scheme in IEEE 802.11 WLANs

Lee

Kyung

2021

JOIV : Int. J. Inform. Visualization

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In this paper, an optimal CW (Contention Window) synchronization scheme is proposed in IEEE 802.11 WLANs. IEEE 802.11 WLANs operates with DCF (Distributed Coordination Function) mode for the MAC (Medium Access Control). In DCF, CW becomes the minimum CW according to the success of data transmissions and increases exponentially due to the collisions. In this situation, the smaller value of the minimum CW can increase the collision probability because stations have higher opportunity to access the medium. On the other hand, the higher value of the minimum CW will delay the transmission, which can result in the network performance degradation. In IEEE 802.11, since the base minimum CW value is a fixed value depending on the hardware or standard, it is difficult to provide the optimal network performance that can be determined by the flexible CW value according to the number of active stations. In addition, the synchronization of optimal CW is required among mobile stations to adapt the network parameters. Especially for the newly joined stations such as moving or turning on stations, they need to adapt the minimum CW value to get the optimal network performance. The shorter the adaptation time is, the better the network performance can maintain. Therefore, in this paper, AP (Access Point) calculates the optimal CW and shares it with mobile stations using beacon and probe response messages for the fast CW synchronization. Extensive simulation results show that the proposed scheme outperforms the previous schemes in terms of the network throughput and adaptation time.

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Section: A Related Workmentioning

confidence: 99%

AP-based CW Synchronization Scheme in IEEE 802.11 WLANs

Lee

Kyung

2021

JOIV : Int. J. Inform. Visualization

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“…Furthermore, N Lbits m,i is the number of bits per symbol and C L m,i is the user's coding rate, where both N Lbits m,i and C L m,i can be determined from the Channel Quality Indicator (CQI) index, which can be determined from the SINR L m,i value measured at UE i. On the other hand, the average downlink achievable data rate of UE i when associated to a WAP m ∈ W A can be calculated through the following two steps: first, the normalized throughput of the inter-BSS is calculated based on the Ideal CSMA network (ICN) model [28] in order to take into consideration the inter-BSS channel competition. Then, the impact of channel contention and packet collision on the achieved data rate within a WAP is analyzed using the enhanced 802.11 DCF back-off model [27] considering the Contention Window (CW) resetting scheme with a pre-defined maximum retry limit (µ) which will impact on the channel contention probability τ .…”

Section: B Contributionmentioning

confidence: 99%

“…where, s ∈ S and S represents the set of all the feasible states of network contention graph. From this, the stationary distribution of the states can be calculated as follows [28]…”

Section: B Contributionmentioning

confidence: 99%

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User Association With Mode Selection in LWA-Based Multi-RAT HetNet

2019

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Restrained by the long term evolution (LTE) limited network capacity, WiFi technology is considered as one of the promising solutions to leverage the traffic load and enhance the LTE capacity. Exploiting both the licensed and unlicensed spectrum was the motivated key to standardize the LTE-wireless local area network (WLAN) aggregation (LWA) technology by 3GPP in Release 13. In this paper, we consider the user association problem in LWA-based Multiple Radio Access Technologies (Multi-RAT) Heterogeneous Networks (HetNet) in which three transmission modes are available (LTE, WiFi, and aggregation mode) and the user needs to select not only the wireless node that will associate with it, but also the used transmission mode. For this, a new user association algorithm that considers the joint node and mode selection is proposed in this paper. This association process is formulated as an optimization problem with the aim to maximize total network throughput. To solve this problem, a one-to-many matching game-based association algorithm is designed, where each user is matched to the best transmission mode/node according to well-developed utility function that considers the achieved data rate of each user as well as the proportional fairness among users. Simulation results have shown that our proposed algorithm outperforms comparable association techniques such as WLAN first, LTE first, and LTE-W in terms of system throughput, outage probability and fairness between users.

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“…A semimatching-based load balancing method discussed in [15], exploits Kuhn-Munkres algorithm considering load status and interference effects to find optimal solution for the UE-AP association problem. Peng et al [16] proposed an AP selection scheme based on achievable normalised throughput to ensure better QoS and fairness among mobile terminals in a SDN-WiFi scenario. Raschella et al [17] presented a AP selection scheme based on a novel metric called fittingness factor which represents the suitability of an AP to the requested QoS requirements in a SDN enabled WLAN environment.…”

Section: Introductionmentioning

confidence: 99%

QAAs: QoS provisioned artificial intelligence framework for AP selection in next-generation wireless networks

Priya¹,

Malhotra²

2020

Telecommun Syst

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Emerging trend of ubiquitous data access is driving the demand for effective wireless communication connectivity. In essence to this, wireless local area network (WLAN) technology seems to be a reliable and cost effective access for the next-generation wireless ecosystem. But the pivotal challenge for WLAN in the next generation wireless networks is to cater the legions of heterogeneous services with characteristic sets of quality of service requirements. However, the strategies present in the existing literature are not accoutered for the application-agnostic association and are incompetent in handling the enormous WLAN state space. Realising the pitfalls of the existing strategies, a novel software-defined networking enabled artificial intelligence framework has been proposed. The proposed framework implements a novel invalid action reduction scheme and double deep reinforcement learning to guarantee the flow based association in a multi-service WLAN environment. Moreover, it allows the multi-parametric optimisation of the association decision and faster convergence to the stable solution. The analytical results validated through the extensive simulations revealed that the proposed scheme achieves high performance gain in terms of convergence, stability and network utility as compared to the other solutions in the literature.

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AP Selection Scheme Based on Achievable Throughputs in SDN-Enabled WLANs

Cited by 12 publications

References 25 publications

AP-based CW Synchronization Scheme in IEEE 802.11 WLANs

AP-based CW Synchronization Scheme in IEEE 802.11 WLANs

User Association With Mode Selection in LWA-Based Multi-RAT HetNet

QAAs: QoS provisioned artificial intelligence framework for AP selection in next-generation wireless networks

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