In W-CDMA systems, distributions of the interference power and the total transmit power both measured at base stations are respectively used for capacity analysis in the uplink and downlink. For accurate capacity analysis, these quantities must be in proportion to the traffic amount. However, these quantities are no longer in proportion to the traffic amount since the transmit power control maintains the signal to interference power ratio at a constant level. Although the relationship between these measurements and the traffic amount has been investigated, there are still challenges to calculate the statistics such as the blocking probability or the outage probability accurately. This paper proposes a method to calculate the blocking probability by transforming the distributions of these measurements into distributions that are referred to as "traffic equivalent distributions," where the distributions are automatically adjusted according to the traffic amount. The calculated results show good agreement with the results obtained by dynamic computer simulations in the uplink, and show good agreement in the downlink as well when the traffic load is light. Accurate calculation of the blocking probability using a feedback loop and the observation of the traffic equivalents is also reported.
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Yoshihiro ISHIKAWA, Seizo ONOE, Kazuhiko FUKAWA, Hiroshi SUZUKI, "Blocking Probability Calculation Using Traffic Equivalent Distributions in SIR-Based Power Controlled W-CDMA Cellular Systems" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 1, pp. 312-324, January 2005, doi: 10.1093/ietcom/e88-b.1.312.
Abstract: In W-CDMA systems, distributions of the interference power and the total transmit power both measured at base stations are respectively used for capacity analysis in the uplink and downlink. For accurate capacity analysis, these quantities must be in proportion to the traffic amount. However, these quantities are no longer in proportion to the traffic amount since the transmit power control maintains the signal to interference power ratio at a constant level. Although the relationship between these measurements and the traffic amount has been investigated, there are still challenges to calculate the statistics such as the blocking probability or the outage probability accurately. This paper proposes a method to calculate the blocking probability by transforming the distributions of these measurements into distributions that are referred to as "traffic equivalent distributions," where the distributions are automatically adjusted according to the traffic amount. The calculated results show good agreement with the results obtained by dynamic computer simulations in the uplink, and show good agreement in the downlink as well when the traffic load is light. Accurate calculation of the blocking probability using a feedback loop and the observation of the traffic equivalents is also reported.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.1.312/_p
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@ARTICLE{e88-b_1_312,
author={Yoshihiro ISHIKAWA, Seizo ONOE, Kazuhiko FUKAWA, Hiroshi SUZUKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Blocking Probability Calculation Using Traffic Equivalent Distributions in SIR-Based Power Controlled W-CDMA Cellular Systems},
year={2005},
volume={E88-B},
number={1},
pages={312-324},
abstract={In W-CDMA systems, distributions of the interference power and the total transmit power both measured at base stations are respectively used for capacity analysis in the uplink and downlink. For accurate capacity analysis, these quantities must be in proportion to the traffic amount. However, these quantities are no longer in proportion to the traffic amount since the transmit power control maintains the signal to interference power ratio at a constant level. Although the relationship between these measurements and the traffic amount has been investigated, there are still challenges to calculate the statistics such as the blocking probability or the outage probability accurately. This paper proposes a method to calculate the blocking probability by transforming the distributions of these measurements into distributions that are referred to as "traffic equivalent distributions," where the distributions are automatically adjusted according to the traffic amount. The calculated results show good agreement with the results obtained by dynamic computer simulations in the uplink, and show good agreement in the downlink as well when the traffic load is light. Accurate calculation of the blocking probability using a feedback loop and the observation of the traffic equivalents is also reported.},
keywords={},
doi={10.1093/ietcom/e88-b.1.312},
ISSN={},
month={January},}
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TY - JOUR
TI - Blocking Probability Calculation Using Traffic Equivalent Distributions in SIR-Based Power Controlled W-CDMA Cellular Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 312
EP - 324
AU - Yoshihiro ISHIKAWA
AU - Seizo ONOE
AU - Kazuhiko FUKAWA
AU - Hiroshi SUZUKI
PY - 2005
DO - 10.1093/ietcom/e88-b.1.312
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2005
AB - In W-CDMA systems, distributions of the interference power and the total transmit power both measured at base stations are respectively used for capacity analysis in the uplink and downlink. For accurate capacity analysis, these quantities must be in proportion to the traffic amount. However, these quantities are no longer in proportion to the traffic amount since the transmit power control maintains the signal to interference power ratio at a constant level. Although the relationship between these measurements and the traffic amount has been investigated, there are still challenges to calculate the statistics such as the blocking probability or the outage probability accurately. This paper proposes a method to calculate the blocking probability by transforming the distributions of these measurements into distributions that are referred to as "traffic equivalent distributions," where the distributions are automatically adjusted according to the traffic amount. The calculated results show good agreement with the results obtained by dynamic computer simulations in the uplink, and show good agreement in the downlink as well when the traffic load is light. Accurate calculation of the blocking probability using a feedback loop and the observation of the traffic equivalents is also reported.
ER -