A power adjustment based eICIC algorithm for hyper-dense HetNets considering the alteration of user association
This paper evaluates power adjustment based enhanced inter-cell interference coordination （eICIC） problem in the hyper-dense HetNet under the practical serving cell selection rule where each user selects the base station with the strongest received signal power as its serving cell while the alterati...
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| Vydáno v: | Science China. Information sciences Ročník 58; číslo 8; s. 33 - 47 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Beijing
Science China Press
01.08.2015
Springer Nature B.V |
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| ISSN: | 1674-733X, 1869-1919 |
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| Abstract | This paper evaluates power adjustment based enhanced inter-cell interference coordination （eICIC） problem in the hyper-dense HetNet under the practical serving cell selection rule where each user selects the base station with the strongest received signal power as its serving cell while the alteration of the serving cell happens during the power adjusting process. In this paper, the eICIC problem is solved by cooperatively adjusting the transmission power of all small cells. A power adjustment method based on modified particle swarm optimization （MPSO） is proposed to tackle the NP-hard eICIC problem caused by the alteration of the serving cell, and considering the drawbacks of MPSO, an improved MPSO is proposed for effective algorithm. Local search and multi-restart process are introduced in the improved MPSO based eICIC algorithm to guarantee the local and then global optimality, and the convergence conditions and the global optimality are proved by mathematical deduction to guide the selection of the parameters. Simulations show that, while considering the fifty-picocell case as an example, the proposed improved MPSO based eICIC algorithm can increase the system throughput by 66.0% compared with the full power transmission, and compared with the existing schemes which do not alter the serving cells, the proposed algorithm can improve the system throughput by 32.2%. By improving MPSO, the consequent algorithm costs less iteration time to achieve higher system throughput, and it is effective and feasible to solve the eICIC problem in the hyper-dense HetNet. |
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| AbstractList | This paper evaluates power adjustment based enhanced inter-cell interference coordination （eICIC） problem in the hyper-dense HetNet under the practical serving cell selection rule where each user selects the base station with the strongest received signal power as its serving cell while the alteration of the serving cell happens during the power adjusting process. In this paper, the eICIC problem is solved by cooperatively adjusting the transmission power of all small cells. A power adjustment method based on modified particle swarm optimization （MPSO） is proposed to tackle the NP-hard eICIC problem caused by the alteration of the serving cell, and considering the drawbacks of MPSO, an improved MPSO is proposed for effective algorithm. Local search and multi-restart process are introduced in the improved MPSO based eICIC algorithm to guarantee the local and then global optimality, and the convergence conditions and the global optimality are proved by mathematical deduction to guide the selection of the parameters. Simulations show that, while considering the fifty-picocell case as an example, the proposed improved MPSO based eICIC algorithm can increase the system throughput by 66.0% compared with the full power transmission, and compared with the existing schemes which do not alter the serving cells, the proposed algorithm can improve the system throughput by 32.2%. By improving MPSO, the consequent algorithm costs less iteration time to achieve higher system throughput, and it is effective and feasible to solve the eICIC problem in the hyper-dense HetNet. This paper evaluates power adjustment based enhanced inter-cell interference coordination (eICIC) problem in the hyper-dense HetNet under the practical serving cell selection rule where each user selects the base station with the strongest received signal power as its serving cell while the alteration of the serving cell happens during the power adjusting process. In this paper, the eICIC problem is solved by cooperatively adjusting the transmission power of all small cells. A power adjustment method based on modified particle swarm optimization (MPSO) is proposed to tackle the NP-hard eICIC problem caused by the alteration of the serving cell, and considering the drawbacks of MPSO, an improved MPSO is proposed for effective algorithm. Local search and multi-restart process are introduced in the improved MPSO based eICIC algorithm to guarantee the local and then global optimality, and the convergence conditions and the global optimality are proved by mathematical deduction to guide the selection of the parameters. Simulations show that, while considering the fifty-picocell case as an example, the proposed improved MPSO based eICIC algorithm can increase the system throughput by 66.0% compared with the full power transmission, and compared with the existing schemes which do not alter the serving cells, the proposed algorithm can improve the system throughput by 32.2%. By improving MPSO, the consequent algorithm costs less iteration time to achieve higher system throughput, and it is effective and feasible to solve the eICIC problem in the hyper-dense HetNet. |
| Author | JIANG HuiLin TONG En LI ZhiHang PHAN Nhu Quan PAN ZhiWen LIU Nan |
| AuthorAffiliation | National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China |
| Author_xml | – sequence: 1 givenname: HuiLin surname: Jiang fullname: Jiang, HuiLin organization: National Mobile Communications Research Laboratory, Southeast University – sequence: 2 givenname: En surname: Tong fullname: Tong, En organization: National Mobile Communications Research Laboratory, Southeast University – sequence: 3 givenname: ZhiHang surname: Li fullname: Li, ZhiHang organization: National Mobile Communications Research Laboratory, Southeast University – sequence: 4 givenname: Nhu Quan surname: Phan fullname: Phan, Nhu Quan organization: National Mobile Communications Research Laboratory, Southeast University – sequence: 5 givenname: ZhiWen surname: Pan fullname: Pan, ZhiWen email: pzw@seu.edu.cn organization: National Mobile Communications Research Laboratory, Southeast University – sequence: 6 givenname: Nan surname: Liu fullname: Liu, Nan organization: National Mobile Communications Research Laboratory, Southeast University – sequence: 7 givenname: XiaoHu surname: You fullname: You, XiaoHu organization: National Mobile Communications Research Laboratory, Southeast University |
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| Cites_doi | 10.1109/TWC.2013.111313.130645 10.1109/APCC.2011.6152889 10.1016/j.amc.2006.12.045 10.1109/LAWP.2013.2283375 10.1109/TMC.2011.141 10.1109/LCOMM.2013.072313.131248 10.1109/MCOM.2014.6736747 10.1109/TWC.2013.050313.120160 10.1109/TW.2014.011614.131163 10.1109/TWC.2012.090312.111454 10.1109/MCOM.2013.6525591 10.1109/TCOMM.2013.072913.120881 10.1109/TWC.2012.081612.111361 10.1109/TNET.2013.2246820 10.1109/MCOM.2013.6461192 10.1109/JSTSP.2011.2176916 10.1109/MCOM.2013.6515044 10.1016/j.jpdc.2013.09.012 10.1109/TVT.2011.2176356 |
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| Copyright | Science China Press and Springer-Verlag Berlin Heidelberg 2015 Science China Press and Springer-Verlag Berlin Heidelberg 2015. |
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| DocumentTitleAlternate | A power adjustment based eICIC algorithm for hyper-dense HetNets considering the alteration of user association |
| DocumentTitle_FL | 用户关联变化情况下一种基于功率调整的超密集异构网干扰协调算法 |
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| Keywords | power adjustment 超密集异构网络 增强的小区间干扰协调 改进的粒子群优化 improved modified particle swarm optimization 功率调整 082304 hyper-dense heterogeneous networks 微微站 picocell enhanced inter-cell interference coordination |
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| Notes | 11-5847/TP This paper evaluates power adjustment based enhanced inter-cell interference coordination （eICIC） problem in the hyper-dense HetNet under the practical serving cell selection rule where each user selects the base station with the strongest received signal power as its serving cell while the alteration of the serving cell happens during the power adjusting process. In this paper, the eICIC problem is solved by cooperatively adjusting the transmission power of all small cells. A power adjustment method based on modified particle swarm optimization （MPSO） is proposed to tackle the NP-hard eICIC problem caused by the alteration of the serving cell, and considering the drawbacks of MPSO, an improved MPSO is proposed for effective algorithm. Local search and multi-restart process are introduced in the improved MPSO based eICIC algorithm to guarantee the local and then global optimality, and the convergence conditions and the global optimality are proved by mathematical deduction to guide the selection of the parameters. Simulations show that, while considering the fifty-picocell case as an example, the proposed improved MPSO based eICIC algorithm can increase the system throughput by 66.0% compared with the full power transmission, and compared with the existing schemes which do not alter the serving cells, the proposed algorithm can improve the system throughput by 32.2%. By improving MPSO, the consequent algorithm costs less iteration time to achieve higher system throughput, and it is effective and feasible to solve the eICIC problem in the hyper-dense HetNet. enhanced inter-cell interference coordination, hyper-dense heterogeneous networks, improved mod-ified particle swarm optimization, picocell, power adjustment ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| PublicationTitle | Science China. Information sciences |
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| SubjectTerms | Algorithms Computer Science Information Systems and Communication Service Iterative methods Particle swarm optimization PSO算法 Research Paper 全局最优性 功率调整 协会 微小区 用户选择 粒子群优化 系统吞吐量 |
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| Title | A power adjustment based eICIC algorithm for hyper-dense HetNets considering the alteration of user association |
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