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Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI

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Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI. / Mokari, Nader; Javan, Mohammed R.; Navaie, Keivan.
In: IEEE Transactions on Vehicular Technology, Vol. 59, No. 2, 11149570, 02.2010, p. 1011-1017.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Mokari, N, Javan, MR & Navaie, K 2010, 'Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI', IEEE Transactions on Vehicular Technology, vol. 59, no. 2, 11149570, pp. 1011-1017. https://doi.org/10.1109/TVT.2009.2035131

APA

Mokari, N., Javan, M. R., & Navaie, K. (2010). Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI. IEEE Transactions on Vehicular Technology, 59(2), 1011-1017. Article 11149570. https://doi.org/10.1109/TVT.2009.2035131

Vancouver

Mokari N, Javan MR, Navaie K. Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI. IEEE Transactions on Vehicular Technology. 2010 Feb;59(2):1011-1017. 11149570. doi: 10.1109/TVT.2009.2035131

Author

Mokari, Nader ; Javan, Mohammed R. ; Navaie, Keivan. / Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI. In: IEEE Transactions on Vehicular Technology. 2010 ; Vol. 59, No. 2. pp. 1011-1017.

Bibtex

@article{d0d547fb66c04b9383541e3896a5d196,
title = "Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI",
abstract = "In this paper, we propose a cross-layer resource-allocation scheme for orthogonal frequency-division multiple-access (OFDMA) systems with imperfect channel-state information (CSI). In our modeling, we consider two traffic types: 1) streaming traffic, which requires a maximum guaranteed average delay, and 2) elastic traffic with flexible rate requirements. We then consider queue-state information (QSI) and CSI in a cross-layer framework to maximize the total transmission rate of elastic users while the average delay constraint for streaming users and the maximum transmission power constraint are satisfied. We also consider the impact of imperfect CSI. An algorithm is then proposed based on the dual decomposition method to obtain the subcarrier assignment and power allocation for each user. Using simulations, we evaluate the impact of streaming traffic on the total achievable rate of elastic users for different values of the required outage probability. It is also shown by simulation that, by increasing the variance of CSI estimation, the total rate of elastic traffic is decreased.",
keywords = "Elastic traffic, imperfect channel estimation, orthogonal frequency-division multiple access (OFDMA), rate adaptation, streaming traffic, subcarrier allocation, WIRELESS NETWORKS, MULTIUSER OFDM, OPTIMIZATION",
author = "Nader Mokari and Javan, {Mohammed R.} and Keivan Navaie",
note = "30/10/2009 ",
year = "2010",
month = feb,
doi = "10.1109/TVT.2009.2035131",
language = "English",
volume = "59",
pages = "1011--1017",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Cross-layer resource allocation in OFDMA systems for heterogeneous traffic with imperfect CSI

AU - Mokari, Nader

AU - Javan, Mohammed R.

AU - Navaie, Keivan

N1 - 30/10/2009

PY - 2010/2

Y1 - 2010/2

N2 - In this paper, we propose a cross-layer resource-allocation scheme for orthogonal frequency-division multiple-access (OFDMA) systems with imperfect channel-state information (CSI). In our modeling, we consider two traffic types: 1) streaming traffic, which requires a maximum guaranteed average delay, and 2) elastic traffic with flexible rate requirements. We then consider queue-state information (QSI) and CSI in a cross-layer framework to maximize the total transmission rate of elastic users while the average delay constraint for streaming users and the maximum transmission power constraint are satisfied. We also consider the impact of imperfect CSI. An algorithm is then proposed based on the dual decomposition method to obtain the subcarrier assignment and power allocation for each user. Using simulations, we evaluate the impact of streaming traffic on the total achievable rate of elastic users for different values of the required outage probability. It is also shown by simulation that, by increasing the variance of CSI estimation, the total rate of elastic traffic is decreased.

AB - In this paper, we propose a cross-layer resource-allocation scheme for orthogonal frequency-division multiple-access (OFDMA) systems with imperfect channel-state information (CSI). In our modeling, we consider two traffic types: 1) streaming traffic, which requires a maximum guaranteed average delay, and 2) elastic traffic with flexible rate requirements. We then consider queue-state information (QSI) and CSI in a cross-layer framework to maximize the total transmission rate of elastic users while the average delay constraint for streaming users and the maximum transmission power constraint are satisfied. We also consider the impact of imperfect CSI. An algorithm is then proposed based on the dual decomposition method to obtain the subcarrier assignment and power allocation for each user. Using simulations, we evaluate the impact of streaming traffic on the total achievable rate of elastic users for different values of the required outage probability. It is also shown by simulation that, by increasing the variance of CSI estimation, the total rate of elastic traffic is decreased.

KW - Elastic traffic

KW - imperfect channel estimation

KW - orthogonal frequency-division multiple access (OFDMA)

KW - rate adaptation

KW - streaming traffic

KW - subcarrier allocation

KW - WIRELESS NETWORKS

KW - MULTIUSER OFDM

KW - OPTIMIZATION

U2 - 10.1109/TVT.2009.2035131

DO - 10.1109/TVT.2009.2035131

M3 - Journal article

VL - 59

SP - 1011

EP - 1017

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 2

M1 - 11149570

ER -