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Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface. / Navaie, Keivan.
In: IEEE Communications Letters, Vol. 12, No. 5, 9966258, 05.2008, p. 340-342.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Navaie, K 2008, 'Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface', IEEE Communications Letters, vol. 12, no. 5, 9966258, pp. 340-342. https://doi.org/10.1109/LCOMM.2008.080195

APA

Navaie, K. (2008). Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface. IEEE Communications Letters, 12(5), 340-342. Article 9966258. https://doi.org/10.1109/LCOMM.2008.080195

Vancouver

Navaie K. Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface. IEEE Communications Letters. 2008 May;12(5):340-342. 9966258. doi: 10.1109/LCOMM.2008.080195

Author

Navaie, Keivan. / Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface. In: IEEE Communications Letters. 2008 ; Vol. 12, No. 5. pp. 340-342.

Bibtex

@article{78a32525e7174696ac56ace66842bc68,
title = "Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface",
abstract = "In this letter, we obtain the outage probability for DS-CDMA-based air interface in the presence of traffic with heavy-tail distribution of call durations. Obtained results show that the outage performance for a given wireless network designed based on the Poisson assumptions is significantly degraded when the actual traffic has heavy-tail distribution of call durations. Degradation in outage performance results in a lower traffic capacity. It is also shown that the performance degradation is higher for distributions with heavier tail.",
keywords = "air interface, DS-CDMA, heavy-tail distribution, outage probability, Poisson traffic",
author = "Keivan Navaie",
year = "2008",
month = may,
doi = "10.1109/LCOMM.2008.080195",
language = "English",
volume = "12",
pages = "340--342",
journal = "IEEE Communications Letters",
issn = "1089-7798",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Impact of heavy-tail distribution of call durations on the outage probability in DS-CDMA-based air interface

AU - Navaie, Keivan

PY - 2008/5

Y1 - 2008/5

N2 - In this letter, we obtain the outage probability for DS-CDMA-based air interface in the presence of traffic with heavy-tail distribution of call durations. Obtained results show that the outage performance for a given wireless network designed based on the Poisson assumptions is significantly degraded when the actual traffic has heavy-tail distribution of call durations. Degradation in outage performance results in a lower traffic capacity. It is also shown that the performance degradation is higher for distributions with heavier tail.

AB - In this letter, we obtain the outage probability for DS-CDMA-based air interface in the presence of traffic with heavy-tail distribution of call durations. Obtained results show that the outage performance for a given wireless network designed based on the Poisson assumptions is significantly degraded when the actual traffic has heavy-tail distribution of call durations. Degradation in outage performance results in a lower traffic capacity. It is also shown that the performance degradation is higher for distributions with heavier tail.

KW - air interface

KW - DS-CDMA

KW - heavy-tail distribution

KW - outage probability

KW - Poisson traffic

U2 - 10.1109/LCOMM.2008.080195

DO - 10.1109/LCOMM.2008.080195

M3 - Journal article

VL - 12

SP - 340

EP - 342

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 5

M1 - 9966258

ER -