Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems

Rui Wang; Vincent K.N. Lau; Cui Ying; Kaibin Huang; Bin Chen; Xia Yang

doi:10.1109/ICC.2009.5198883

Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems

Rui Wang^*, Vincent K.N. Lau, Cui Ying, Kaibin Huang, Bin Chen, Xia Yang

^*Corresponding author for this work

Department of Electronic and Computer Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

2 Citations (Scopus)

Abstract

In this paper, we consider a relay-assisted cognitive cellular downlink system dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed, where relay stations are employed for minimizing the interference to users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an optimal solution is derived for jointly controlling data rate, transmission power, and subband allocation to optimize the weighted sum goodput where proportional fair scheduling (PFS) is included as a special case. As shown by simulations, the proposed solution achieves significant throughput gains and better user fairness compared with existing designs.

Original language	English
Title of host publication	Proceedings - 2009 IEEE International Conference on Communications, ICC 2009
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781424434350
DOIs	https://doi.org/10.1109/ICC.2009.5198883
Publication status	Published - 2009
Event	2009 IEEE International Conference on Communications, ICC 2009 - Dresden, Germany Duration: 14 Jun 2009 → 18 Jun 2009

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	0536-1486

Conference

Conference	2009 IEEE International Conference on Communications, ICC 2009
Country/Territory	Germany
City	Dresden
Period	14/06/09 → 18/06/09

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10.1109/ICC.2009.5198883

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Wang, R., Lau, V. K. N., Ying, C., Huang, K., Chen, B., & Yang, X. (2009). Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems. In Proceedings - 2009 IEEE International Conference on Communications, ICC 2009 Article 5198883 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2009.5198883

@inproceedings{3915ed87b901445fa8fa57f8d06c6000,

title = "Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems",

abstract = "In this paper, we consider a relay-assisted cognitive cellular downlink system dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed, where relay stations are employed for minimizing the interference to users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an optimal solution is derived for jointly controlling data rate, transmission power, and subband allocation to optimize the weighted sum goodput where proportional fair scheduling (PFS) is included as a special case. As shown by simulations, the proposed solution achieves significant throughput gains and better user fairness compared with existing designs.",

author = "Rui Wang and Lau, \{Vincent K.N.\} and Cui Ying and Kaibin Huang and Bin Chen and Xia Yang",

year = "2009",

doi = "10.1109/ICC.2009.5198883",

language = "English",

isbn = "9781424434350",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2009 IEEE International Conference on Communications, ICC 2009",

note = "2009 IEEE International Conference on Communications, ICC 2009 ; Conference date: 14-06-2009 Through 18-06-2009",

}

Wang, R, Lau, VKN, Ying, C, Huang, K, Chen, B & Yang, X 2009, Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems. in Proceedings - 2009 IEEE International Conference on Communications, ICC 2009., 5198883, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2009 IEEE International Conference on Communications, ICC 2009, Dresden, Germany, 14/06/09. https://doi.org/10.1109/ICC.2009.5198883

Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems. / Wang, Rui; Lau, Vincent K.N.; Ying, Cui et al.
Proceedings - 2009 IEEE International Conference on Communications, ICC 2009. Institute of Electrical and Electronics Engineers Inc., 2009. 5198883 (IEEE International Conference on Communications).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems

AU - Wang, Rui

AU - Lau, Vincent K.N.

AU - Ying, Cui

AU - Huang, Kaibin

AU - Chen, Bin

AU - Yang, Xia

PY - 2009

Y1 - 2009

N2 - In this paper, we consider a relay-assisted cognitive cellular downlink system dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed, where relay stations are employed for minimizing the interference to users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an optimal solution is derived for jointly controlling data rate, transmission power, and subband allocation to optimize the weighted sum goodput where proportional fair scheduling (PFS) is included as a special case. As shown by simulations, the proposed solution achieves significant throughput gains and better user fairness compared with existing designs.

AB - In this paper, we consider a relay-assisted cognitive cellular downlink system dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed, where relay stations are employed for minimizing the interference to users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an optimal solution is derived for jointly controlling data rate, transmission power, and subband allocation to optimize the weighted sum goodput where proportional fair scheduling (PFS) is included as a special case. As shown by simulations, the proposed solution achieves significant throughput gains and better user fairness compared with existing designs.

UR - https://openalex.org/W2096058895

UR - https://www.scopus.com/pages/publications/70449508030

U2 - 10.1109/ICC.2009.5198883

DO - 10.1109/ICC.2009.5198883

M3 - Conference Paper published in a book

SN - 9781424434350

T3 - IEEE International Conference on Communications

BT - Proceedings - 2009 IEEE International Conference on Communications, ICC 2009

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2009 IEEE International Conference on Communications, ICC 2009

Y2 - 14 June 2009 through 18 June 2009

ER -

Wang R, Lau VKN, Ying C, Huang K, Chen B, Yang X. Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems. In Proceedings - 2009 IEEE International Conference on Communications, ICC 2009. Institute of Electrical and Electronics Engineers Inc. 2009. 5198883. (IEEE International Conference on Communications). doi: 10.1109/ICC.2009.5198883

Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems

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