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Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks

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

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Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks. / Navaie, Keivan; Valaee, Shahrokh; Sharafat, Ahmad R. et al.
In: IEEE Transactions on Wireless Communications, Vol. 6, No. 6, 9611740, 06.2007, p. 2357-2367.

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

Harvard

Navaie, K, Valaee, S, Sharafat, AR & Sousa, ES 2007, 'Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks', IEEE Transactions on Wireless Communications, vol. 6, no. 6, 9611740, pp. 2357-2367. https://doi.org/10.1109/LCOMM.2007.05877

APA

Navaie, K., Valaee, S., Sharafat, A. R., & Sousa, E. S. (2007). Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks. IEEE Transactions on Wireless Communications, 6(6), 2357-2367. Article 9611740. https://doi.org/10.1109/LCOMM.2007.05877

Vancouver

Navaie K, Valaee S, Sharafat AR, Sousa ES. Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks. IEEE Transactions on Wireless Communications. 2007 Jun;6(6):2357-2367. 9611740. doi: 10.1109/LCOMM.2007.05877

Author

Navaie, Keivan ; Valaee, Shahrokh ; Sharafat, Ahmad R. et al. / Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks. In: IEEE Transactions on Wireless Communications. 2007 ; Vol. 6, No. 6. pp. 2357-2367.

Bibtex

@article{96c64a65fe594620a47322804b6940eb,
title = "Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks",
abstract = "Motivated by the results in [ 1] on the self-similarity of the downlink interference in heterogenous service DS-CDMA' networks, in this paper, we propose a model-based linear adaptive-predictive method to estimate the level of interference for optimizing the system throughput and minimizing the delay for non-real-time data transmission. We use a fractional Gaussian noise (fGn) model in an appropriate time-scale to represent the self-similarity in the downlink interference. The estimated interference is utilized to allocate the available power to non-real-time services. In doing so, we use a utility-based optimization scheme and dynamic programming for time-domain optimal scheduling of non-real-time traffic. Simulation results validate the fGn model and show a substantial improvement in the delay fairness and a significant increase in the average cell throughput using our proposed scheme; and confirm that the interference model is valid for a broad range of arrival rates of non-real time traffic.",
keywords = "downlink interference, DS-CDMA networks, dynamic programming, fractional Gaussian noise, packet scheduling, self-similar process, INTERFERENCE",
author = "Keivan Navaie and Shahrokh Valaee and Sharafat, {Ahmad R.} and Sousa, {Elvino S.}",
year = "2007",
month = jun,
doi = "10.1109/LCOMM.2007.05877",
language = "English",
volume = "6",
pages = "2357--2367",
journal = "IEEE Transactions on Wireless Communications",
issn = "1536-1276",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",
note = "IEEE International Conference on Wireless and Mobile Computing, Networking and Communications ; Conference date: 22-08-2005 Through 24-08-2005",

}

RIS

TY - JOUR

T1 - Optimum model-based non-real-time downlink data transmission in heterogeneous, DS-CDMA cellular networks

AU - Navaie, Keivan

AU - Valaee, Shahrokh

AU - Sharafat, Ahmad R.

AU - Sousa, Elvino S.

PY - 2007/6

Y1 - 2007/6

N2 - Motivated by the results in [ 1] on the self-similarity of the downlink interference in heterogenous service DS-CDMA' networks, in this paper, we propose a model-based linear adaptive-predictive method to estimate the level of interference for optimizing the system throughput and minimizing the delay for non-real-time data transmission. We use a fractional Gaussian noise (fGn) model in an appropriate time-scale to represent the self-similarity in the downlink interference. The estimated interference is utilized to allocate the available power to non-real-time services. In doing so, we use a utility-based optimization scheme and dynamic programming for time-domain optimal scheduling of non-real-time traffic. Simulation results validate the fGn model and show a substantial improvement in the delay fairness and a significant increase in the average cell throughput using our proposed scheme; and confirm that the interference model is valid for a broad range of arrival rates of non-real time traffic.

AB - Motivated by the results in [ 1] on the self-similarity of the downlink interference in heterogenous service DS-CDMA' networks, in this paper, we propose a model-based linear adaptive-predictive method to estimate the level of interference for optimizing the system throughput and minimizing the delay for non-real-time data transmission. We use a fractional Gaussian noise (fGn) model in an appropriate time-scale to represent the self-similarity in the downlink interference. The estimated interference is utilized to allocate the available power to non-real-time services. In doing so, we use a utility-based optimization scheme and dynamic programming for time-domain optimal scheduling of non-real-time traffic. Simulation results validate the fGn model and show a substantial improvement in the delay fairness and a significant increase in the average cell throughput using our proposed scheme; and confirm that the interference model is valid for a broad range of arrival rates of non-real time traffic.

KW - downlink interference

KW - DS-CDMA networks

KW - dynamic programming

KW - fractional Gaussian noise

KW - packet scheduling

KW - self-similar process

KW - INTERFERENCE

U2 - 10.1109/LCOMM.2007.05877

DO - 10.1109/LCOMM.2007.05877

M3 - Journal article

VL - 6

SP - 2357

EP - 2367

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

SN - 1536-1276

IS - 6

M1 - 9611740

T2 - IEEE International Conference on Wireless and Mobile Computing, Networking and Communications

Y2 - 22 August 2005 through 24 August 2005

ER -