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

Zhongyuan Zhao; Mugen Peng; Zhiguo Ding; Chonggang Wang; H. Vincent Poor

doi:10.1109/ICC.2015.7248933

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

Zhongyuan Zhao, Mugen Peng, Zhiguo Ding, Chonggang Wang, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Scopus citations

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.

Original language	English (US)
Title of host publication	2015 IEEE International Conference on Communications, ICC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3903-3908
Number of pages	6
ISBN (Electronic)	9781467364324
DOIs	https://doi.org/10.1109/ICC.2015.7248933
State	Published - Sep 9 2015
Externally published	Yes
Event	IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: Jun 8 2015 → Jun 12 2015

Publication series

Name	IEEE International Conference on Communications
Volume	2015-September
ISSN (Print)	1550-3607

Other

Other	IEEE International Conference on Communications, ICC 2015
Country/Territory	United Kingdom
City	London
Period	6/8/15 → 6/12/15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2015.7248933

Cite this

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 2015 IEEE International Conference on Communications, ICC 2015 (pp. 3903-3908). Article 7248933 (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7248933

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title = "Cluster formation in cloud-radio access networks: Performance analysis and algorithms design",

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}",

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year = "2015",

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doi = "10.1109/ICC.2015.7248933",

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Zhao, Z, Peng, M, Ding, Z, Wang, C & Poor, HV 2015, Cluster formation in cloud-radio access networks: Performance analysis and algorithms design. in 2015 IEEE International Conference on Communications, ICC 2015., 7248933, IEEE International Conference on Communications, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 3903-3908, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 6/8/15. https://doi.org/10.1109/ICC.2015.7248933

Cluster formation in cloud-radio access networks: Performance analysis and algorithms design. / Zhao, Zhongyuan; Peng, Mugen; Ding, Zhiguo et al.
2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 3903-3908 7248933 (IEEE International Conference on Communications; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Zhao, Zhongyuan

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AU - Poor, H. Vincent

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N2 - 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 - 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.

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

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