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Cluster formation in cloud-radio access networks: performance analysis and algorithms design

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Cluster formation in cloud-radio access networks: performance analysis and algorithms design . / Zhao, Zhongyuan; Peng, Mugen; Ding, Zhiguo et al.
Communications (ICC), 2015 IEEE International Conference on. IEEE, 2015. p. 3903-3908 (Communications (ICC), 2015 IEEE International Conference on).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Zhao, Z, Peng, M, Ding, Z, Wang, C & Poor, HV 2015, Cluster formation in cloud-radio access networks: performance analysis and algorithms design . in Communications (ICC), 2015 IEEE International Conference on. Communications (ICC), 2015 IEEE International Conference on, IEEE, pp. 3903-3908. https://doi.org/10.1109/ICC.2015.7248933

APA

Zhao, Z., Peng, M., Ding, Z., Wang, C., & Poor, H. V. (2015). Cluster formation in cloud-radio access networks: performance analysis and algorithms design . In Communications (ICC), 2015 IEEE International Conference on (pp. 3903-3908). (Communications (ICC), 2015 IEEE International Conference on). IEEE. https://doi.org/10.1109/ICC.2015.7248933

Vancouver

Zhao Z, Peng M, Ding Z, Wang C, Poor HV. Cluster formation in cloud-radio access networks: performance analysis and algorithms design . In Communications (ICC), 2015 IEEE International Conference on. IEEE. 2015. p. 3903-3908. (Communications (ICC), 2015 IEEE International Conference on). doi: 10.1109/ICC.2015.7248933

Author

Zhao, Zhongyuan ; Peng, Mugen ; Ding, Zhiguo et al. / Cluster formation in cloud-radio access networks : performance analysis and algorithms design . Communications (ICC), 2015 IEEE International Conference on. IEEE, 2015. pp. 3903-3908 (Communications (ICC), 2015 IEEE International Conference on).

Bibtex

@inproceedings{8c4413f86496428abde363a64caa93f0,
title = "Cluster formation in cloud-radio access networks: performance analysis and algorithms design ",
abstract = "Abstract:A dilemma in cloud-radio access networks (C-RANs) is to balance the cluster scale and the cooperative gains. In this paper, cluster formation for downlink transmissions in C-RANs is studied. In particular, with a fixed intro-cluster cooperation strategy, an explicit expression for the successful access probability is derived by applying stochastic geometry. By using the obtained theoretical result as a utility function, the problem of grouping remote radio heads is formulated as a coalitional formation game, and then two distributed algorithms based on the merge and split approach are obtained as efficient solutions for the cases with and without cluster size constraints, respectively. Compared with grand cluster formation, which is a centralized method, simulation results show that the proposed approaches can achieve better performance with smaller cluster settings.",
author = "Zhongyuan Zhao and Mugen Peng and Zhiguo Ding and Chonggang Wang and Poor, {H. Vincent}",
year = "2015",
month = jun,
day = "8",
doi = "10.1109/ICC.2015.7248933",
language = "English",
series = "Communications (ICC), 2015 IEEE International Conference on",
publisher = "IEEE",
pages = "3903--3908",
booktitle = "Communications (ICC), 2015 IEEE International Conference on",

}

RIS

TY - GEN

T1 - Cluster formation in cloud-radio access networks

T2 - performance analysis and algorithms design

AU - Zhao, Zhongyuan

AU - Peng, Mugen

AU - Ding, Zhiguo

AU - Wang, Chonggang

AU - Poor, H. Vincent

PY - 2015/6/8

Y1 - 2015/6/8

N2 - Abstract:A dilemma in cloud-radio access networks (C-RANs) is to balance the cluster scale and the cooperative gains. In this paper, cluster formation for downlink transmissions in C-RANs is studied. In particular, with a fixed intro-cluster cooperation strategy, an explicit expression for the successful access probability is derived by applying stochastic geometry. By using the obtained theoretical result as a utility function, the problem of grouping remote radio heads is formulated as a coalitional formation game, and then two distributed algorithms based on the merge and split approach are obtained as efficient solutions for the cases with and without cluster size constraints, respectively. Compared with grand cluster formation, which is a centralized method, simulation results show that the proposed approaches can achieve better performance with smaller cluster settings.

AB - Abstract:A dilemma in cloud-radio access networks (C-RANs) is to balance the cluster scale and the cooperative gains. In this paper, cluster formation for downlink transmissions in C-RANs is studied. In particular, with a fixed intro-cluster cooperation strategy, an explicit expression for the successful access probability is derived by applying stochastic geometry. By using the obtained theoretical result as a utility function, the problem of grouping remote radio heads is formulated as a coalitional formation game, and then two distributed algorithms based on the merge and split approach are obtained as efficient solutions for the cases with and without cluster size constraints, respectively. Compared with grand cluster formation, which is a centralized method, simulation results show that the proposed approaches can achieve better performance with smaller cluster settings.

U2 - 10.1109/ICC.2015.7248933

DO - 10.1109/ICC.2015.7248933

M3 - Conference contribution/Paper

T3 - Communications (ICC), 2015 IEEE International Conference on

SP - 3903

EP - 3908

BT - Communications (ICC), 2015 IEEE International Conference on

PB - IEEE

ER -