A Novel Co-channel Deployment Algorithm Based on PCF in Multiple APs and High Density WLANs

Lei, Jianjun; Jiang, Jianhua

doi:10.1007/978-3-319-57141-6_14

Cited by 1 publication

(1 citation statement)

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“…We first formulate the channel assignment problem into vertex coloring problem and then present an improved channel assignment strategy which makes extra poll for APs without collision. It is referred to as CCA (cochannel assignment) mechanism and it has been demonstrated that this strategy can improve the channel utilization and guarantee the bandwidth demand in our previous work [5]. Meanwhile, aiming at the possible empty polling problem, we also propose a priority channel access strategy 2 Wireless Communications and Mobile Computing to improve the channel utilization, which is referred to as optimized CCA mechanism.…”

Section: Introductionmentioning

confidence: 98%

Channel Assignment Mechanism for Multiple APs Cochannel Deployment in High Density WLANs

Lei

Jiang

Shang

2018

Wireless Communications and Mobile Computing

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In Wireless Local Area Networks (WLANs), cochannel deployment can bound channel access delay and improve network capacity due to mitigating the collision and interference among different Access Points (APs). In this paper, we present a network model and an interference model for multiple APs cochannel deployment and propose a channel assignment mechanism which formulates the channel assignment problem into a time slot allocation problem. Meanwhile, we assign the channel based on the vertex coloring algorithm and make extra polls by utilizing the time slot reservation strategy to improve the channel assignment. Furthermore, we optimize the polling list of APs through classifying the clients to improve the channel utilization. The simulation results show that our proposed algorithm can improve the performance in terms of network throughput, transmission delay, and packet loss rate compared with the DCF (Distributed Coordination Function) and TMCA algorithms.

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Section: Introductionmentioning

confidence: 98%