A Cluster-based Resource Allocation in a Two-tier OFDMA Femtocell Networks

ZHANG Haibo; MU Lixiong; CHEN Shanxue; PENG Jiaoyang

doi:10.11999/JEIT150699

Volume 38 Issue 2

Feb. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(2): 262-268

ZHANG Haibo, MU Lixiong, CHEN Shanxue, PENG Jiaoyang. A Cluster-based Resource Allocation in a Two-tier OFDMA Femtocell Networks[J]. Journal of Electronics & Information Technology, 2016, 38(2): 262-268. doi: 10.11999/JEIT150699

Citation:

ZHANG Haibo, MU Lixiong, CHEN Shanxue, PENG Jiaoyang. A Cluster-based Resource Allocation in a Two-tier OFDMA Femtocell Networks[J]. Journal of Electronics & Information Technology, 2016, 38(2): 262-268. doi: 10.11999/JEIT150699

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A Cluster-based Resource Allocation in a Two-tier OFDMA Femtocell Networks

doi: 10.11999/JEIT150699

1.
2.
(Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

Funds:

The National Natural Science Foundation of China (61301122), The Research Plan of Chongqing (cstc2014jcyjA 40052), The Research Program of Chongqing Municipal Education Commission (KJ1400405)

Received Date: 2015-06-08
Rev Recd Date: 2015-10-19
Publish Date: 2016-02-19

Abstract

Abstract

Femtocell is a promising technology to enhance indoor coverage and system capacity. However, the co-tier and cross-tier interference impair greatly the network performance for spectrum-sharing OFDMA femtocell networks. To mitigate the co-tier/cross-tier interference, a cluster-based resource allocation algorithm is proposed. The proposed algorithm consists of two parts: In the first part, an improved Hungarian algorithm is first adopted to assign sub-channels to the Macro Users Equipments (MUEs). Then the averagely assigned power is reallocated in linear water-filling fashion in order to ensure the transmission of MUEs. In the other part, Simulated Annealing algorithm is first used to cluster femtocells into disjoint groups. Then under the condition of avoiding causing interference to MUEs, femtocells perform sub-channel and power allocation according to the rate requirements of Femtocell User Equipments (FUEs) to maximize spectrum efficiency. Simulation results show that the proposed algorithm not only guarantees the data rate requirements of users, but also improves the spectrum efficiency.
- Wireless communication,
- Femtocell networks,
- Resource allocation,
- Cluster,
- OFDMA

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References(19)

References

BHUSHAN N, LI J Y, MALLADI D, et al. Network densification: The dominant theme for wireless evolution into 5G[J]. IEEE Communications Magazine, 2014, 52(2): 82-89.

LIU Z X, HAO L L, XIA Y Q, et al. Price bargaining based on the stackelberg game in two-tier orthogonal frequency division multiple access femtocell networks[J]. IET Communications, 2015, 9(1): 133-145.

ABDELNASSER A, HOSSAIN E, and KIM D I. Tier-aware resource allocation in OFDMA macrocell-small cell networks [J]. IEEE Transactions on Communications, 2015, 63(3): 695-710.

LOPEZ-PEREZ D, CHU X, VASILAKOS A, et al. Power minimization based resource allocation for interference mitigation in OFDMA femtocell networks[J]. IEEE Journal Selected Areas in Communications, 2014, 32(2): 333-344.

NGO D T, KHAKUREL S, and LE-NGOC T. Joint subchannel assignment and power allocation for OFDMA femtocell networks[J]. IEEE Transactions on Wireless Communications, 2014, 13(1): 342-355.

HA V N and LE L B. Fair resource allocation for OFDMA femtocell networks with macrocell protection[J]. IEEE Transactions on Vehicular Technology, 2014, 63(3): 1388-1401.

马文敏, 郑伟, 张海君. OFDMA 毫微微小区网络中基于效用公平的功率控制策略[J]. 电子与信息学报, 2012, 34(10): 2287-2292. doi: 10.3724/SP.J.1146.2012.00542.

MA W M, ZHEN W, and ZHANG H J. Utility-based fairness power control scheme in OFDMA femtocell networks[J]. Journal of Electronics Information Technology, 2012, 34(10): 2287-2292. doi: 10.3724/SP.J.1146.2012.00542.

朱晓荣, 罗小琴, 朱洪波. 正交频分多址系统中一种面向多业务应用的自适应资源分配算法[J]. 电子与信息学报, 2015, 37(6): 1298-1303. doi: 10.11999/JEIT141158.

ZHU X R, LUO X Q, and ZHU H B. Adaptive resource allocation scheduling algorithm for multi-service application in OFDMA system[J]. Journal of Electronics Information Technology, 2015, 37(6): 1298-1303. doi: 10.11999/ JEIT141158.

ABDELNASSER A, HOSSAIN E, and KIM D I. Clustering and resource allocation for dense femtocells in a two-tier cellular OFDMA network[J]. IEEE Transactions on Wireless Communications, 2014, 13(3): 1628-1641.

ABBAS H, RAMI L, and NADJIB A. Cluster-based resource management in OFDMA femtocell networks with QoS guarantees[J]. IEEE Transactions on Vehicular Technology, 2014, 63(5): 2378-2391.

ZHANG Q, ZHU X N, WU L J, et al. A coloring-based resource allocation for OFDMA femtocell networks[C]. 2013 IEEE Wireless Communications and Networking Conference, Shanghai, 2013: 673-678.

LIU S J and TIAN H. Clustering based interference management for QoS guarantees in OFDMA femtocell[C]. 2013 IEEE Wireless Communications and Networking Conference, Shanghai, 2013: 649-654.

KANG X, ZHANG R, and MOTANI M. Price-based resource allocation for spectrum-sharing femtocell network: a stackelberg game approach[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(3): 538-549.

陈宝林. 最优化理论与算法[M]. 第2版, 北京: 清华大学出版社, 2005: 444-450.

CHEN B L. Optimization Theory and Algorithms[M]. Release 2, Beijing: Tsinghua University Press, 2005: 444-450.

3GPP TSG RAN1-2010. Evolved Universal Terrestrial Radio Access (E-UTRA); Further advancements for E-UTRA physical layer aspects[R]. 2010.

BAE Chisung and CHO Dongho. Fairness-aware adaptive resource allocation scheme in multihop OFDMA systems[J]. IEEE Communications Letters, 2007, 11(2): 134-136.

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