超密集网络中宏微协作的干扰最小化资源分配

doi:10.19665/j.issn1001-2400.2019.02.002

Abstract

Abstract:

Ultra-dense networks (UDN) can maximize spectrum utilization, Nevertheless, the unpredictable and overwhelming inter-cell interference (ICI) constitutes a new challenge. To tackle this problem, a cross-tier cooperation resource allocation for interference minimization (CCRA-IM) is proposed, which is adapted to the dynamic payload of the UDN. First, every piece of cell sub-band interference information is exchanged by the aid of cross-tier cooperation. Then the CCRA-IM allocates the high-power users to the physical resources with the lower sub-band interference of neighboring cells, which results in a decrease in the ICI. When the cell traffic is partially loaded, the CCRA-IM tries its best to reduce the power spectral density of the high-power users by allocating them more resources, which can further mitigate the ICI. Simulation results show that the CCRA-IM can work well to mitigate the ICI of the network efficiently and improve the energy efficiency in the dynamic payload of the UDN.

Key words: ultra-dense network, cross-tier cooperation, resource allocation, interference, energy efficiency

CLC Number:

TN929.5

ZHENG Chuangming,LIU Longwei,ZHANG Hailin,LI Yongzhao. Cross-tier cooperation resource allocation for interference minimization in ultra-dense networks[J].Journal of Xidian University, 2019, 46(2): 6-11.

Figures/Tables 5

References 14

[1]	CHAN S Z, QIN F, HU B , et al. User-centric Ultra-dense Networks for 5G: Challenges, Methodologies and Directions[J]. IEEE Wireless Communications, 2016,23(2):78-85. doi: 10.1007/978-3-319-61201-0_1
[2]	BHUSHAN N, LI J, MALLADI D , et al. Network Densification: the Dominant Theme for Wireless Evolution into 5G[J]. IEEE Communications Magazine, 2014,52(2):82-89.
[3]	LIU J, SHENG M, LIU L , et al. Interference Management in Ultra-dense Networks: Challenges and Approaches[J]. IEEE Network, 2017,31(6):70-77. doi: 10.1109/MNET.2017.1700052
[4]	GIMéNEZ S, CALABUIG D, MONSERRAT J F , et al. Dynamic and Load-adapting Distributed Fractional Frequency Reuse Algorithm for Ultra-dense Networks[CP/OL].[ 2018- 06- 20]. http://dacaso.webs.upv.es/publications/2015-WAVES.pdf.
[5]	SU L, YANG C, CHIH-LIN I . Energy and Spectral Efficient Frequency Reuse of Ultra Dense Networks[J]. IEEE Transactions on Wireless Communications, 2016,15(8):5384-5398. doi: 10.1109/TWC.2016.2557790
[6]	DAVASLIOGLU K, COSKUN C C, AYANOGLU E . Energy-efficient Resource Allocation for Fractional Frequency Reuse in Heterogeneous Networks[J]. IEEE Transactions on Wireless Communications, 2015,14(10):5484-5497. doi: 10.1109/TWC.2015.2438826
[7]	姚稳, 李金茹, 谭博文 . 超密集网络中基于分簇的干扰管理方案[J]. 科学技术与工程, 2018,18(2):270-273. doi: 10.3969/j.issn.1671-1815.2018.02.042
	YAO Wen, LI Jinru, TAN Bowen . Interference Management Scheme Based on Clustering in Ultra Dense Network[J]. Science Technology and Engineering, 2018,18(2):270-273. doi: 10.3969/j.issn.1671-1815.2018.02.042
[8]	周彦果, 张海林, 陈瑞瑞 . 毫微微小区网络中采用双层博弈的资源分配[J]. 西安电子科技大学学报, 2017,44(4):62-68. doi: 10.3969/j.issn.1001-2400.2017.04.012
	ZHOU Yanguo, ZHANG Hailin, CHEN Ruirui . Two-layered Game-theoretic Based Resource Allocation in Femtocell Networks[J]. Journal of Xidian University, 2017,44(4):62-68. doi: 10.3969/j.issn.1001-2400.2017.04.012
[9]	段瑞猛, 马文平, 罗维 , 等. 一个毫微微小区网络中的全分布式资源分配策略[J]. 西安电子科技大学学报, 2017,44(3):36-42. doi: 10.3969/j.issn.1001-2400.2017.03.007
	DUAN Ruimeng, MA Wenping, LUO Wei , et al. Fully Distributed Resource Allocation Strategy in Femtocell Networks[J]. Journal of Xidian University, 2017,44(3):36-42. doi: 10.3969/j.issn.1001-2400.2017.03.007
[10]	3GPP TSG-RAN.Physical Layer Procedures for Evolved UTRA (Release 14): 3GPP TS 36.213[S]. Valbonne:3GPP, 2016.
[11]	CHIUMENTO A, DESSET C, POLLIN S , et al. Impact of CSI Feedback Strategies on LTE Downlink and Reinforcement Learning Solutions for Optimal Allocation[J]. IEEE Transactions on Vehicular Technology, 2017,66(1):550-562. doi: 10.1109/TVT.2016.2531291
[12]	KALIL M, SHAMI A, AL-DWEIK A . QoS-aware Power-efficient Scheduler for LTE Uplink[J]. IEEE Transactions on Mobile Computing, 2015,14(8):1672-1685. doi: 10.1109/TMC.2014.2363839
[13]	NIU C, LI Y, HU R Q , et al. Fast and Efficient Radio Resource Allocation in Dynamic Ultra-dense Heterogeneous Networks[J]. IEEE Access, 2017,5:1911-1924. doi: 10.1109/ACCESS.2017.2653798
[14]	KIM J, KIM D, HAN Y . Proportional Fair Scheduling Algorithm for SC-FDMA in LTE Uplink[C]// Proceedings of the 2012 IEEE Global Telecommunications Conference. Piscataway: IEEE, 2012: 4816-4820.

仿真参数	宏基站	小基站	仿真参数	宏基站	小基站
信道快衰落模型	SCME	SCME	扇区数	3	1
eNodeB天线配置	1T2R	1T2R	仿真系统带宽/m	20	20
UE分布密度/m²	1×10^-3	3×10^-3	A:B:C:D	2:1:1:1	2:1:1:1
小区半径/m	250	30	发射功率/dBm	43	20
大尺度衰落	128.1+37.6lg(d)	131+42.8lg(d)	噪声功率谱密度/(dBm·Hz^-1)	-174	-174

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Cross-tier cooperation resource allocation for interference minimization in ultra-dense networks

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