Interference Analysis of 802.11b and 802.11g Wireless Systems

Kawade, S.; Hodgkinson, T.G.; Abhayawardhana, V.S.

doi:10.1109/vetecf.2007.174

Cited by 11 publications

(9 citation statements)

References 2 publications

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“…The similarities between the investigation in this paper and the one in [7] are such that the same model, see Fig 4, and assumptions 1 can be used. However, its noise power (P noise_ss ) and probability of error (P e ) expressions need to be modified.…”

Section: Interference Analysismentioning

confidence: 92%

“…Finally, the P e expression derived in [7], which for this particular case will be denoted by P e_gb , is replaced by …”

Section: B Modifications For 80211g Interferencementioning

confidence: 99%

“…Past co-existent interference studies [3], [4] have tended to concentrate on interference between Bluetooth and WiFi or on the tolerance of WiFi systems to interference from sources other than these two types of system [5], [6]. However, interference between Manuscript WiFi systems has begun to be studied in more detail, and recent work [7] has reported how 802.11b and 802.11g networks are affected by interference from their own type of system. Therefore, the aim of this paper is to build upon the previous work by extending it to include interference effects between co-existent 802.11b and 802.11g systems.…”

Section: Introductionmentioning

confidence: 99%

“…Section II gives an overview of the interference characteristics of co-existent 802.11b and 802.11g systems. Section III then gives the modifications that were made to [7] to extend it to include the co-existent interference characteristics. Section IV then discusses the results and insights gained from using the modified analysis to investigate how the co-existent interference characteristics affect system performance as channel separation is varied.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Interference Effects between Co-Existent 802.11b and 802.11g Wi-Fi Systems

Kawade

Hodgkinson

2008

VTC Spring 2008 - IEEE Vehicular Technology Conference

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The main aim of this paper is to provide insights into the performance degradation caused by interference between coexistent 802.11b and 802.11g WiFi systems operating in environments where channel overlap cannot be excluded. The fundamental differences between their interference characteristics are overviewed and analysed, and it is shown that channel overlap degrades their performance by differing amounts. It is also shown that for similar interference levels this degradation is slightly worse than for systems that are exclusively 802.11b but slightly better than for ones that are exclusively 802.11g. Overall, it is shown that for WiFi systems operating in environments where channel overlap exists, increasing the channel separation is generally of greater benefit for 802.11b than 802.11g.

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Section: Interference Analysismentioning

confidence: 92%

“…Finally, the P e expression derived in [7], which for this particular case will be denoted by P e_gb , is replaced by …”

Section: B Modifications For 80211g Interferencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of Interference Effects between Co-Existent 802.11b and 802.11g Wi-Fi Systems

Kawade

Hodgkinson

2008

VTC Spring 2008 - IEEE Vehicular Technology Conference

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“…The author have used protocol and physical models for interference. Kawade et al [15,16] have compared the performance of IEEE 802.11g and 802.11b radios under co-channel interference by considering the physical layer characteristics. The authors have concluded that IEEE 802.11g networks are more resistant to co-channel interference while channel separation improves the performance of both types of networks.…”

Section: Related Workmentioning

confidence: 99%

Medium access behavior analysis of two-flow topologies in IEEE 802.11 wireless networks

Zeeshan

Anjum

2016

J Wireless Com Network

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Impact of medium access control (MAC) on throughput of IEEE 802.11-based multi-hop wireless networks is not completely understood despite numerous research efforts. Researchers have explored the MAC interaction of two-flow topologies in order to better understand the MAC behavior of nodes in generic multi-hop wireless network. Prior research has considered two flow interactions under the assumption of same transmission and carrier sensing range. This research extends and completes the existing body of work by relaxing the assumption of same transmission and carrier sensing range to realize more practical and realistic two-flow topologies. Twenty-five unique possible two-flow topologies can exist in general multi-hop wireless networks. The topologies have been classified into six categories based on MAC layer behavior and per flow throughput. Closed-form expressions for occurrence probabilities of the identified categories have been derived with particular observation that carrier sensing range-based categories have high occurrence probability and cannot be ignored. MAC behavior of each category is discussed. It is observed that different transmission and carrier sensing ranges significantly affect the MAC behavior and the throughput of flows. Based on the behavior, exact throughput of the two single hop flows is analytically computed. The results achieved through analysis have been compared with the simulated results to verify the accuracy of analysis. This research will serve as basis for MAC behavior analysis of generic multi-hop wireless networks.

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Can Cognitive Radio Access to TV White Spaces Support Future Home Networks?

Kawade

Nekovee

2010

2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)

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Interference Analysis of 802.11b and 802.11g Wireless Systems

Cited by 11 publications

References 2 publications

Analysis of Interference Effects between Co-Existent 802.11b and 802.11g Wi-Fi Systems

Analysis of Interference Effects between Co-Existent 802.11b and 802.11g Wi-Fi Systems

Medium access behavior analysis of two-flow topologies in IEEE 802.11 wireless networks

Can Cognitive Radio Access to TV White Spaces Support Future Home Networks?

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