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Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback

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Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback. / Dashti, Mina; Yamchi, Nader; Navaie, Keivan.
In: IEEE Transactions on Vehicular Technology, Vol. 64, No. 7, 07.2015, p. 3056-3074.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Dashti, M, Yamchi, N & Navaie, K 2015, 'Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback', IEEE Transactions on Vehicular Technology, vol. 64, no. 7, pp. 3056-3074. https://doi.org/10.1109/TVT.2013.2293882

APA

Vancouver

Dashti M, Yamchi N, Navaie K. Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback. IEEE Transactions on Vehicular Technology. 2015 Jul;64(7):3056-3074. Epub 2013 Dec 5. doi: 10.1109/TVT.2013.2293882

Author

Dashti, Mina ; Yamchi, Nader ; Navaie, Keivan. / Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback. In: IEEE Transactions on Vehicular Technology. 2015 ; Vol. 64, No. 7. pp. 3056-3074.

Bibtex

@article{a077e9deddcb46bbaa963fcbcaff3729,
title = "Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback",
abstract = "In this paper, we develop quantized ergodic resource allocation in uplink OFDMA-based relay assisted networks in which both Amplify and Forward (AF) and Decode and Forward (DF) protocols are investigated. The main objective is to maximize the average sum rate subject to the power constraint at the users and relays. Using dual decomposition technique and block coordinate descent algorithm (BCDA), we then obtain near-optimal solution for the proposed problems. The proposed methods significantly decrease the required feedback information which reduce the overhead on the bandwidth as well as cost. Furthermore, we investigate the impact of noisy feedback channel on the system performance. Extensive simulation results also presented which indicate that DF outperform AF in various conditions. It is also observed that by increasing the number of quantization regions, the average sum rate approaches",
author = "Mina Dashti and Nader Yamchi and Keivan Navaie",
year = "2015",
month = jul,
doi = "10.1109/TVT.2013.2293882",
language = "English",
volume = "64",
pages = "3056--3074",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",

}

RIS

TY - JOUR

T1 - Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback

AU - Dashti, Mina

AU - Yamchi, Nader

AU - Navaie, Keivan

PY - 2015/7

Y1 - 2015/7

N2 - In this paper, we develop quantized ergodic resource allocation in uplink OFDMA-based relay assisted networks in which both Amplify and Forward (AF) and Decode and Forward (DF) protocols are investigated. The main objective is to maximize the average sum rate subject to the power constraint at the users and relays. Using dual decomposition technique and block coordinate descent algorithm (BCDA), we then obtain near-optimal solution for the proposed problems. The proposed methods significantly decrease the required feedback information which reduce the overhead on the bandwidth as well as cost. Furthermore, we investigate the impact of noisy feedback channel on the system performance. Extensive simulation results also presented which indicate that DF outperform AF in various conditions. It is also observed that by increasing the number of quantization regions, the average sum rate approaches

AB - In this paper, we develop quantized ergodic resource allocation in uplink OFDMA-based relay assisted networks in which both Amplify and Forward (AF) and Decode and Forward (DF) protocols are investigated. The main objective is to maximize the average sum rate subject to the power constraint at the users and relays. Using dual decomposition technique and block coordinate descent algorithm (BCDA), we then obtain near-optimal solution for the proposed problems. The proposed methods significantly decrease the required feedback information which reduce the overhead on the bandwidth as well as cost. Furthermore, we investigate the impact of noisy feedback channel on the system performance. Extensive simulation results also presented which indicate that DF outperform AF in various conditions. It is also observed that by increasing the number of quantization regions, the average sum rate approaches

U2 - 10.1109/TVT.2013.2293882

DO - 10.1109/TVT.2013.2293882

M3 - Journal article

VL - 64

SP - 3056

EP - 3074

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

SN - 0018-9545

IS - 7

ER -