Bluetooth and WLAN coexistence: challenges and solutions

Golmie, Nada; Chevrollier, Nicolas; Rébala, O.

doi:10.1109/mwc.2003.1265849

Cited by 151 publications

(82 citation statements)

References 5 publications

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“…Coexistence in unlicensed bands has previously received significant attention outside the cognitive radio community [11] with Bluetooth/WLAN coexistence being a prominent example of practical concern. A possible approach to interference mitigation in this context is adaptive frequency hopping [12].…”

Section: B Related Workmentioning

confidence: 99%

“…In short, we have seen that while the WLAN's carrier sensing remains unaltered, a packet collision is likely to cause a packet error. For ease of analysis, and because such an assumption has frequently been made in other papers [11], we assume that every collision inevitably results in a packet error. This is a worst case assumption given our measurement results.…”

Section: Cognitive Medium Accessmentioning

confidence: 99%

“…The above equation corresponds to the long run fraction of slot collisions per unit time. We will refer to (11) as the cumulative interference constraint (CIC). While the CIC seems an intuitive measure, it quantifies the interference from the secondary user's perspective.…”

Section: B Fully Observable Cma (Fo-cma)mentioning

confidence: 99%

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Cognitive Medium Access: Constraining Interference Based on Experimental Models

Geirhofer

Tong

Sadler

2008

IEEE J. Select. Areas Commun.

216

156

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Abstract-In this paper we design a cognitive radio that can coexist with multiple parallel WLAN channels while abiding by an interference constraint. The interaction between both systems is characterized by measurement and coexistence is enhanced by predicting the WLAN's behavior based on a continuous-time Markov chain model. Cognitive Medium Access (CMA) is derived from this model by recasting the problem as one of constrained Markov decision processes. Solutions are obtained by linear programming. Furthermore, we show that optimal CMA admits structured solutions, simplifying practical implementations. Preliminary results for the partially observable case are presented. The performance of the proposed schemes is evaluated for a typical WLAN coexistence setup and shows a significant performance improvement.

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Section: B Related Workmentioning

confidence: 99%

Section: Cognitive Medium Accessmentioning

confidence: 99%

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Cognitive Medium Access: Constraining Interference Based on Experimental Models

Geirhofer

Tong

Sadler

2008

IEEE J. Select. Areas Commun.

216

156

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“…By adopting this model it was possible to simulate nonindependent burst errors of the kind that cause problems to an ARQ mechanism. Though B/T v.1.2 adopted an Adaptive Frequency Hopping scheme (AFH), G.-E. is still used herein to model the channel, because AFH is of limited benefit to audio/video applications [5], especially when interference occurs across the unlicensed 2.4 GHz ISM band. The mean duration of a good state, T g , was set at 2 s and in a bad state, T b , was set to 0.5 s. In units of the B/T time slot duration, T g = 3200 and T b = 800, which implies from:…”

Section: Adaptive-retrymentioning

confidence: 99%

Deadline-aware video delivery in a disrupted bluetooth network

Razavi

Fleury

Ghanbari

2007

2007 IEEE Sarnoff Symposium

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“…Recently the coexistence issue has gained increasing attention [8][9][10][11][12][13][14]. However, to date most coexistence schemes are designed for simultaneous functionality of a Bluetooth piconet and an 802.11b WLAN.…”

Section: B1 Problem Statementmentioning

confidence: 99%

Co-channel Interference Mitigation for Robust Coexistence of Frequency Hopped Networks

Liu¹

2006

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Public Reporting Burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comment regarding this burden estimate or any other aspect of this collection of information, including suggesstions for reducing this burden, ABSTRACTTo meet the military's increased need for rapidly deployable communication solutions, wireless networks are becoming increasingly common within tactical environments. Frequency hopping (FH) is widely used for radio transmission in such networks due to its low probability of detection/interception. With the increasing deployment, multiple networks occupying overlapping frequency bands are likely to coexist in a physical environment, especially in tactical operations, emergency situations, or dense-populated areas. Consequently co-channel interference due to frequency collisions can become a major performance limiting factor. In this project, we developed a novel interference mitigation technique based on multidimensional frequency estimation coupled with the expectation-maximization principle, which effectively resolves collisions among non-collaborative networks, thus enabling robust coexistence of multiple FH networks. To deal with possible receiver-transmitter mismatch, we also designed a low-complexity model order variation detection method. Novel multidimensional frequency estimation algorithms are also investigated. J. Li and X. Liu, "A software demonstration: collision resolution for robust coexistence of multiple wireless

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Bluetooth and WLAN coexistence: challenges and solutions

Cited by 151 publications

References 5 publications

Cognitive Medium Access: Constraining Interference Based on Experimental Models

Cognitive Medium Access: Constraining Interference Based on Experimental Models

Deadline-aware video delivery in a disrupted bluetooth network

Co-channel Interference Mitigation for Robust Coexistence of Frequency Hopped Networks

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