Effect of adjacent-channel interference in IEEE 802.11 WLANs

García-Villegas, Eduard; López-Aguilera, Elena; Vidal, Rafael; Paradells, Josep

doi:10.1109/crowncom.2007.4549783

Cited by 57 publications

(39 citation statements)

References 12 publications

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“…The authors in [2] learned the adjacent channel interference in IEEE 802.11a/b/g WLANs and present new analytical and simulation results for the conversational speech capacity of WLANs and compares the different WLAN technologies in that regard. Reference [3] and [4] had done the similar studies focusing on DSSS technology about 802.11b network and found out some mechanisms may be available for radio resource management in WLANs network, such as transmitted power assignments or rate adaptation strategies. The impact of co-channel interference has been studied in [5] and [6] and the approaches like power adjustment algorithm, channel adjustment algorithm have been proposed for minimizing co-channel interference.…”

Section: Introductionmentioning

confidence: 99%

Performance And Interference Analysis of 802.11G Wireless Network

Li¹,

Liu²,

Tan³

et al. 2013

IJWMN

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Section: Introductionmentioning

confidence: 99%

Performance And Interference Analysis of 802.11G Wireless Network

Li¹,

Liu²,

Tan³

et al. 2013

IJWMN

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“…The 2.4 GHz ISM band is very densely populated with IEEE 802.11 WiFi devices and Bluetooth devices. IEEE 802.11 a/b/g devices are known to cause interference in both overlapping channels and adjacent channels [14]. Any signal transmitted outside the legal 20 MHz channel bandwidth of a WiFi channel is an out-ofband signal.…”

Section: Introductionmentioning

confidence: 99%

Facilitating Non-collocated coexistence for WiFi and 4G wireless networks

Rathod

Karandikar

Sahoo

2012

37th Annual IEEE Conference on Local Computer Networks

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Abstract-In this paper, we discuss the problem of noncollocated coexistence of WiFi and 4G technologies such as WiMAX and LTE due to adjacent channel interference. The existing literature has many solutions and schemes to address the problem of shared channel coexistence and adjacent channel coexistence on multi-radio platforms. Results for Non-collocated coexistence in adjacent channels in wireless remain very scattered and few. Radio devices operating on Broadband Wireless Access (BWA) 4G wireless technologies like IEEE 802.16 (WiMAX) and LTE-A require very low noise floor. BWA spectrum allocations in 2.3 GHz and 2.5GHz have resulted in these networks to be very close to 2.4 GHz ISM band used by WiFi. We show, with measurements on our test-bed and from existing results, that the low-cost filters on WiFi devices are not very effective in controlling the out-of-band emissions to satisfy the low noise floor requirements of 4G. We propose schemes to mitigate the problem of adjacent channel interference by a time sharing mechanism across technologies by protecting packet receptions on both IEEE 802.11 and the IEEE 802.16 side. We demonstrate the effectiveness of our scheme to protect WiMAX packets by ensuring a controlled silence zone in the WiFi network using a test-bed. We also show that there is very limited adverse impact, due to the use of our scheme, on the system throughput of the non-collocated WiFi network operating in the adjacent channel.

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“…We run 1000 simulations and show results in terms of mean values and confidence intervals, at a 95% confidence level (which is less than 2% around the mean). b) Compared approaches:: We compared our proposal, named here MobiCA (Mobility-aware Channel Allocation) with three other methods: centralized channel allocation (TABU) [10], randomly channel allocation (RANDOM), and largest distance (LD) among channels [5]. In TABU, the allocation is realized by a central unity in a heuristic manner.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In addition to the 2-hops interference model, we consider the adjacent channel interference [5]. In Wi-Fi networks each channel has a bandwidth of 22 MHz, but they are separated by only 5 MHz as shows Figure 1.…”

Section: B Interference Modelmentioning

confidence: 99%

A Mobility-Aware Channel Allocation Strategy for Clustered Ad Hoc Network

Shigueta

Pellenz

Fonseca

et al. 2017

2017 IEEE 85th Vehicular Technology Conference (VTC Spring)

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Abstract-This paper presents a mobility-aware channel allocation strategy for clustered ad hoc network. Our main novelty is to consider the user mobility associated with traffic history and node popularity to guide the channel allocation process, while quickly responding to changes in the network topology. In our performance evaluation and contrarily to related works, we use a realistic mobility model based on user behavior and consider channels with largest spectral distance as well as the smallest number of occurrences. Obtained results show that our strategy presents throughput 15,43 % and 17,74% higher when compared with RANDOM and LD algorithms respectively, and lower overhead when compared with TABU algorithm.

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Effect of adjacent-channel interference in IEEE 802.11 WLANs

Cited by 57 publications

References 12 publications

Performance And Interference Analysis of 802.11G Wireless Network

Performance And Interference Analysis of 802.11G Wireless Network

Facilitating Non-collocated coexistence for WiFi and 4G wireless networks

A Mobility-Aware Channel Allocation Strategy for Clustered Ad Hoc Network

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