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Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks

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Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks. / Navaie, Keivan; Valaee, S.; Sousa, E. S.

WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 1, Proceedings. ed. / S. Pierre; J. Conan. Vol. 1 New York : IEEE, 2005. p. 92-99 8746958.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Navaie, K, Valaee, S & Sousa, ES 2005, Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks. in S Pierre & J Conan (eds), WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 1, Proceedings. vol. 1, 8746958, IEEE, New York, pp. 92-99, IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Canada, 22/08/05. https://doi.org/10.1109/WIMOB.2005.1512822

APA

Navaie, K., Valaee, S., & Sousa, E. S. (2005). Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks. In S. Pierre, & J. Conan (Eds.), WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 1, Proceedings (Vol. 1, pp. 92-99). [8746958] New York: IEEE. https://doi.org/10.1109/WIMOB.2005.1512822

Vancouver

Navaie K, Valaee S, Sousa ES. Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks. In Pierre S, Conan J, editors, WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 1, Proceedings. Vol. 1. New York: IEEE. 2005. p. 92-99. 8746958 https://doi.org/10.1109/WIMOB.2005.1512822

Author

Navaie, Keivan ; Valaee, S. ; Sousa, E. S. / Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks. WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 1, Proceedings. editor / S. Pierre ; J. Conan. Vol. 1 New York : IEEE, 2005. pp. 92-99

Bibtex

@inproceedings{732ee013852c4765a6887e44c27b4c94,
title = "Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks",
abstract = "In this paper, we develop a cross-layer model for downlink interference in heterogenous DS-CDMA wireless cellular networks. In this model, interference is described as a function of application layer parameters (traffic characteristics) and physical layer variations (channel characteristics). We show that for a heterogenous service DS-CDMA network, downlink interference is a second-order self-similar process and thus has long-range dependence. We then use the predictive structure of total downlink interference to maximize non-realtime data throughput. We use fractional Gaussian noise (fGn) to model the self-similarity of downlink interference. In the proposed method, the base-station uses an optimal linear predictor, based on the fGn model, to estimate the level of interference. The estimated interference is then used to allocate power to users. To maximize data throughput, we use time domain scheduling. The simulation studies confirm the self-similarity of downlink interference and validate the fGn model. The simulation results also show a substantial performance improvement using the proposed predictive-adaptive scheme and confirm that the interference model is still valid after applying the proposed method.",
keywords = "cross-layer modelling, downlink interference, DS-CDMA networks, fractional Gaussian noise, self-similar process, time domain scheduling",
author = "Keivan Navaie and S. Valaee and Sousa, {E. S.}",
year = "2005",
doi = "10.1109/WIMOB.2005.1512822",
language = "English",
isbn = "0780391810",
volume = "1",
pages = "92--99",
editor = "S. Pierre and J. Conan",
booktitle = "WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 1, Proceedings",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Cross-layer modelling for efficient transmission of non-realtime data traffic over downlink DS-CDMA heterogenous networks

AU - Navaie, Keivan

AU - Valaee, S.

AU - Sousa, E. S.

PY - 2005

Y1 - 2005

N2 - In this paper, we develop a cross-layer model for downlink interference in heterogenous DS-CDMA wireless cellular networks. In this model, interference is described as a function of application layer parameters (traffic characteristics) and physical layer variations (channel characteristics). We show that for a heterogenous service DS-CDMA network, downlink interference is a second-order self-similar process and thus has long-range dependence. We then use the predictive structure of total downlink interference to maximize non-realtime data throughput. We use fractional Gaussian noise (fGn) to model the self-similarity of downlink interference. In the proposed method, the base-station uses an optimal linear predictor, based on the fGn model, to estimate the level of interference. The estimated interference is then used to allocate power to users. To maximize data throughput, we use time domain scheduling. The simulation studies confirm the self-similarity of downlink interference and validate the fGn model. The simulation results also show a substantial performance improvement using the proposed predictive-adaptive scheme and confirm that the interference model is still valid after applying the proposed method.

AB - In this paper, we develop a cross-layer model for downlink interference in heterogenous DS-CDMA wireless cellular networks. In this model, interference is described as a function of application layer parameters (traffic characteristics) and physical layer variations (channel characteristics). We show that for a heterogenous service DS-CDMA network, downlink interference is a second-order self-similar process and thus has long-range dependence. We then use the predictive structure of total downlink interference to maximize non-realtime data throughput. We use fractional Gaussian noise (fGn) to model the self-similarity of downlink interference. In the proposed method, the base-station uses an optimal linear predictor, based on the fGn model, to estimate the level of interference. The estimated interference is then used to allocate power to users. To maximize data throughput, we use time domain scheduling. The simulation studies confirm the self-similarity of downlink interference and validate the fGn model. The simulation results also show a substantial performance improvement using the proposed predictive-adaptive scheme and confirm that the interference model is still valid after applying the proposed method.

KW - cross-layer modelling

KW - downlink interference

KW - DS-CDMA networks

KW - fractional Gaussian noise

KW - self-similar process

KW - time domain scheduling

U2 - 10.1109/WIMOB.2005.1512822

DO - 10.1109/WIMOB.2005.1512822

M3 - Conference contribution/Paper

SN - 0780391810

VL - 1

SP - 92

EP - 99

BT - WiMob'2005: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Vol 1, Proceedings

A2 - Pierre, S.

A2 - Conan, J.

PB - IEEE

CY - New York

ER -