IEICE TRANSACTIONS on Fundamentals
Semi-Distributed Resource Allocation for Dense Small Cell Networks
Summary :
Small cell networks have been promoted as an enabling solution to enhance indoor coverage and improve spectral efficiency. Users usually deploy small cells on-demand and pay no attention to global profile in residential areas or offices. The reduction of cell radius leads to dense deployment which brings intractable computation complexity for resource allocation. In this paper, we develop a semi-distributed resource allocation algorithm by dividing small cell networks into clusters with limited inter-cluster interference and selecting a reference cluster for interference estimation to reduce the coordination degree. Numerical results show that the proposed algorithm can maintain similar system performance while having low complexity and reduced information exchange overheads.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.5 pp.1140-1143
- Publication Date
- 2015/05/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.1140
- Type of Manuscript
- LETTER
- Category
- Mobile Information Network and Personal Communications
Authors
Hong LIU
Chinese Academy of Sciences,Shanghai Research Center for Wireless Communications
Yang YANG
Chinese Academy of Sciences,Shanghai Research Center for Wireless Communications
Xiumei YANG
Chinese Academy of Sciences,Shanghai Research Center for Wireless Communications
Zhengmin ZHANG
Chinese Academy of Sciences
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Hong LIU, Yang YANG, Xiumei YANG, Zhengmin ZHANG, "Semi-Distributed Resource Allocation for Dense Small Cell Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 5, pp. 1140-1143, May 2015, doi: 10.1587/transfun.E98.A.1140.
Abstract: Small cell networks have been promoted as an enabling solution to enhance indoor coverage and improve spectral efficiency. Users usually deploy small cells on-demand and pay no attention to global profile in residential areas or offices. The reduction of cell radius leads to dense deployment which brings intractable computation complexity for resource allocation. In this paper, we develop a semi-distributed resource allocation algorithm by dividing small cell networks into clusters with limited inter-cluster interference and selecting a reference cluster for interference estimation to reduce the coordination degree. Numerical results show that the proposed algorithm can maintain similar system performance while having low complexity and reduced information exchange overheads.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.1140/_p
Copy
@ARTICLE{e98-a_5_1140,
author={Hong LIU, Yang YANG, Xiumei YANG, Zhengmin ZHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Semi-Distributed Resource Allocation for Dense Small Cell Networks},
year={2015},
volume={E98-A},
number={5},
pages={1140-1143},
abstract={Small cell networks have been promoted as an enabling solution to enhance indoor coverage and improve spectral efficiency. Users usually deploy small cells on-demand and pay no attention to global profile in residential areas or offices. The reduction of cell radius leads to dense deployment which brings intractable computation complexity for resource allocation. In this paper, we develop a semi-distributed resource allocation algorithm by dividing small cell networks into clusters with limited inter-cluster interference and selecting a reference cluster for interference estimation to reduce the coordination degree. Numerical results show that the proposed algorithm can maintain similar system performance while having low complexity and reduced information exchange overheads.},
keywords={},
doi={10.1587/transfun.E98.A.1140},
ISSN={1745-1337},
month={May},}
Copy
TY - JOUR
TI - Semi-Distributed Resource Allocation for Dense Small Cell Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1140
EP - 1143
AU - Hong LIU
AU - Yang YANG
AU - Xiumei YANG
AU - Zhengmin ZHANG
PY - 2015
DO - 10.1587/transfun.E98.A.1140
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2015
AB - Small cell networks have been promoted as an enabling solution to enhance indoor coverage and improve spectral efficiency. Users usually deploy small cells on-demand and pay no attention to global profile in residential areas or offices. The reduction of cell radius leads to dense deployment which brings intractable computation complexity for resource allocation. In this paper, we develop a semi-distributed resource allocation algorithm by dividing small cell networks into clusters with limited inter-cluster interference and selecting a reference cluster for interference estimation to reduce the coordination degree. Numerical results show that the proposed algorithm can maintain similar system performance while having low complexity and reduced information exchange overheads.
ER -
English
