Frequency assignment for IEEE 802.11 wireless networks

Leung, Kin K.; Kim, B.-J.

doi:10.1109/vetecf.2003.1285259

Cited by 115 publications

(110 citation statements)

References 3 publications

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“…Therefore, frequency assignment in WLANs is often (but not always) considered to be a three frequency problem. Frequency assignment for WLANs has been studied by, e.g., Leung and Kim (2003). Distributed dynamic frequency assignment is studied by Riihijärvi et al (2005); Villegas and Ferré (2005).…”

Section: Mobile Telephonymentioning

confidence: 99%

Models and solution techniques for frequency assignment problems

et al. 2007

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Wireless communication is used in many different situations such as mobile telephony, radio and TV broadcasting, satellite communication, wireless LANs, and military operations. In each of these situations a frequency assignment problem arises with application specific characteristics. Researchers have developed different modeling ideas for each of the features of the problem, such as the handling of interference among radio signals, the availability of frequencies, and the optimization criterion.This survey gives an overview of the models and methods that the literature provides on the topic. We present a broad description of the practical settings in which frequency assignment is applied. We also present a classification of the different models and formulations described in the literature, such that the common features of the models are emphasized. The solution methods are divided in two parts. Optimization and lower bounding techniques on the one hand, and heuristic search techniques on the other hand. The literature is classified according to the used methods. Again, we emphasize the common features, used in the different papers. The quality of the solution methods is compared, whenever possible, on publicly available benchmark instances. This is an updated version of a paper that appeared in 4OR 1, 261-317, 2003.

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Section: Mobile Telephonymentioning

confidence: 99%

Models and solution techniques for frequency assignment problems

et al. 2007

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“…Their fair slot assignment approach builds on an approximation algorithm for the disk graph colouring problem but is a centralised scheme. Leung and Kim [9] consider a similar problem and propose a heuristic centralised algorithm. Akella et al [1] study power control and rate adaptation in the same setting, but do not consider algorithms for channel allocation.…”

Section: Related Workmentioning

confidence: 99%

A Self-Managed Distributed Channel Selection Algorithm for WLANs

Leith

Clifford

2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks

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Abstract-In this paper we consider the problem of a wireless LAN selecting a channel to minimise interference with other WLANs. We focus on interfering infrastructure-mode networks, where each access point (AP) or base station has a wired backhaul link. We introduce a new fully distributed and selfmanaged channel selection algorithm that does not require direct communication between APs nor explicit estimation of the network interference graph. The sole information required by the algorithm is feedback to each WLAN on the presence of interference on a chosen channel; such feedback is already commonly provided by WLAN protocols such as 802.11. We establish that convergence of the distributed algorithm is guaranteed provided that the channel selection problem is feasible. Extensive simulation results are presented that demonstrate rapid convergence under a wide range of network conditions and topologies. While the scope of the present paper is confined to infrastructure networks with static topology, the utility of the proposed algorithm in situations where the network topology is time-varying is briefly discussed.

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“…[3], measured the pulse response of network at 2.4GHz inside a building, he modulated the carrier with a repetitive 5ns pulses and transmitted it through a wideband biconical antenna. Also signal strength percentage reported by wireless LAN card, [4] used measured data and empirical models to predict the propagation path loss in and around residential area for the UNII band at 5.85GHz. While [5] developed throughput prediction model using the available measurement software products called SiteSpy and LanFielder to measure wireless LAN throughput and other network performances criteria and recorded the results in a precise site-specific manner.…”

Section: Related Work Of Wlan Indoor Coveragementioning

confidence: 99%