Resource allocation techniques for OFDMA-based decode-and-forward relaying networks

Y Pan; AR Nix; MA Beach

doi:10.1109/VETECS.2008.394

Resource allocation techniques for OFDMA-based decode-and-forward relaying networks

Y Pan, AR Nix, MA Beach

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

17 Citations (Scopus)

468 Downloads (Pure)

Abstract

In this paper, we focus on the design of efficient resource allocation algorithms for a multihop cellular network, with orthogonal frequency division multiple access (OFDMA) as downlink transmission technique and utilizing decode-and- forward cooperation strategy. Our objective is to maximize the total capacity based on the constraint of individual transmission power at each transmitter. We also consider users' QoS requirements by maximizing the total capacity while giving users proportional fairness weights according to their data requirements. We show that for each data symbol (at each subcarrier) transmitted by base station, the best relaying strategy is to let only one among all the relay stations perform the relaying task. This is true for both objectives of maximizing total capacity and maximizing capacity with proportional fairness constraint. We then propose efficient greedy algorithms for both centralized and distributed resource allocations based on our analysis. Simulation results indicate that our proposed algorithms effectively enhance the total capacity.

Translated title of the contribution	Resource allocation techniques for OFDMA-based decode-and-forward relaying networks
Original language	English
Title of host publication	IEEE Vehicular Technology Conference, 2008 (VTC Spring 2008), Singapore
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1717 - 1721
Number of pages	5
DOIs	https://doi.org/10.1109/VETECS.2008.394
Publication status	Published - May 2008
Event	Vehicular Technology Conference 2008 - Singapore, Singapore Duration: 1 May 2008 → …

Publication series

Name
ISSN (Print)	15502252

Conference

Conference	Vehicular Technology Conference 2008
Abbreviated title	VTC 2008-Spring
Country/Territory	Singapore
City	Singapore
Period	1/05/08 → …

Bibliographical note

Rose publication type: Conference contribution

Additional information: With accompanying conference presentation

Sponsorship: The work reported in this paper has formed part of the Delivery Efficiency
Core Research Programme of the Virtual Centre of Excellence in Mobile and
Personal Communications, Mobile VCE, www.mobilevce.com. This research
has been funded by EPSRC and by the Industrial Companies who are
Members of Mobile VCE.

Terms of use: Copyright © 2008 IEEE. Reprinted from IEEE Vehicular Technology Conference, 2008 (VTC Spring 2008).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Other identifier: 9781424416455

Keywords

OFDMA

Access to Document

10.1109/VETECS.2008.394

Conference paperAccepted author manuscript, 150 KB
Conference presentation to accompany paperAccepted author manuscript, 1.27 MB

http://hdl.handle.net/1983/1317

Cite this

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title = "Resource allocation techniques for OFDMA-based decode-and-forward relaying networks",

abstract = "In this paper, we focus on the design of efficient resource allocation algorithms for a multihop cellular network, with orthogonal frequency division multiple access (OFDMA) as downlink transmission technique and utilizing decode-and- forward cooperation strategy. Our objective is to maximize the total capacity based on the constraint of individual transmission power at each transmitter. We also consider users' QoS requirements by maximizing the total capacity while giving users proportional fairness weights according to their data requirements. We show that for each data symbol (at each subcarrier) transmitted by base station, the best relaying strategy is to let only one among all the relay stations perform the relaying task. This is true for both objectives of maximizing total capacity and maximizing capacity with proportional fairness constraint. We then propose efficient greedy algorithms for both centralized and distributed resource allocations based on our analysis. Simulation results indicate that our proposed algorithms effectively enhance the total capacity.",

keywords = "OFDMA",

author = "Y Pan and AR Nix and MA Beach",

note = "Rose publication type: Conference contribution Additional information: With accompanying conference presentation Sponsorship: The work reported in this paper has formed part of the Delivery Efficiency Core Research Programme of the Virtual Centre of Excellence in Mobile and Personal Communications, Mobile VCE, www.mobilevce.com. This research has been funded by EPSRC and by the Industrial Companies who are Members of Mobile VCE. Terms of use: Copyright {\textcopyright} 2008 IEEE. Reprinted from IEEE Vehicular Technology Conference, 2008 (VTC Spring 2008). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. Other identifier: 9781424416455; Vehicular Technology Conference 2008, VTC 2008-Spring ; Conference date: 01-05-2008",

year = "2008",

month = may,

doi = "10.1109/VETECS.2008.394",

language = "English",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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booktitle = "IEEE Vehicular Technology Conference, 2008 (VTC Spring 2008), Singapore",

address = "United States",

}

Pan, Y, Nix, AR & Beach, MA 2008, Resource allocation techniques for OFDMA-based decode-and-forward relaying networks. in IEEE Vehicular Technology Conference, 2008 (VTC Spring 2008), Singapore. Institute of Electrical and Electronics Engineers (IEEE), pp. 1717 - 1721, Vehicular Technology Conference 2008, Singapore, Singapore, 1/05/08. https://doi.org/10.1109/VETECS.2008.394

Resource allocation techniques for OFDMA-based decode-and-forward relaying networks. / Pan, Y; Nix, AR; Beach, MA.

IEEE Vehicular Technology Conference, 2008 (VTC Spring 2008), Singapore. Institute of Electrical and Electronics Engineers (IEEE), 2008. p. 1717 - 1721.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Pan, Y

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N1 - Rose publication type: Conference contribution Additional information: With accompanying conference presentation Sponsorship: The work reported in this paper has formed part of the Delivery Efficiency Core Research Programme of the Virtual Centre of Excellence in Mobile and Personal Communications, Mobile VCE, www.mobilevce.com. This research has been funded by EPSRC and by the Industrial Companies who are Members of Mobile VCE. Terms of use: Copyright © 2008 IEEE. Reprinted from IEEE Vehicular Technology Conference, 2008 (VTC Spring 2008). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. Other identifier: 9781424416455

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Y1 - 2008/5

N2 - In this paper, we focus on the design of efficient resource allocation algorithms for a multihop cellular network, with orthogonal frequency division multiple access (OFDMA) as downlink transmission technique and utilizing decode-and- forward cooperation strategy. Our objective is to maximize the total capacity based on the constraint of individual transmission power at each transmitter. We also consider users' QoS requirements by maximizing the total capacity while giving users proportional fairness weights according to their data requirements. We show that for each data symbol (at each subcarrier) transmitted by base station, the best relaying strategy is to let only one among all the relay stations perform the relaying task. This is true for both objectives of maximizing total capacity and maximizing capacity with proportional fairness constraint. We then propose efficient greedy algorithms for both centralized and distributed resource allocations based on our analysis. Simulation results indicate that our proposed algorithms effectively enhance the total capacity.

AB - In this paper, we focus on the design of efficient resource allocation algorithms for a multihop cellular network, with orthogonal frequency division multiple access (OFDMA) as downlink transmission technique and utilizing decode-and- forward cooperation strategy. Our objective is to maximize the total capacity based on the constraint of individual transmission power at each transmitter. We also consider users' QoS requirements by maximizing the total capacity while giving users proportional fairness weights according to their data requirements. We show that for each data symbol (at each subcarrier) transmitted by base station, the best relaying strategy is to let only one among all the relay stations perform the relaying task. This is true for both objectives of maximizing total capacity and maximizing capacity with proportional fairness constraint. We then propose efficient greedy algorithms for both centralized and distributed resource allocations based on our analysis. Simulation results indicate that our proposed algorithms effectively enhance the total capacity.

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PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - Vehicular Technology Conference 2008

Y2 - 1 May 2008

ER -

Resource allocation techniques for OFDMA-based decode-and-forward relaying networks

Abstract

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Keywords

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