Asynchronous Distributed Downlink Beamforming and Power Control in Multi-Cell Networks
In this paper, we consider a multi-cell network where every base station (BS) serves multiple users with an antenna array. Each user is associated with only one BS and has a single antenna. Assume that only long-term channel state information (CSI) is available in the system. The objective is to min...
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| Vydané v: | IEEE transactions on wireless communications Ročník 13; číslo 7; s. 3892 - 3902 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York, NY
IEEE
01.07.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1536-1276, 1558-2248 |
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| Abstract | In this paper, we consider a multi-cell network where every base station (BS) serves multiple users with an antenna array. Each user is associated with only one BS and has a single antenna. Assume that only long-term channel state information (CSI) is available in the system. The objective is to minimize the network downlink transmission power needed to meet the users' signal-to-interference-plus-noise ratio (SINR) requirements. For this objective, we propose an asynchronous distributed beamforming and power control algorithm, which provides the same optimal solution as given by centralized algorithms. To design the algorithm, the power minimization problem is formulated mathematically as a non-convex problem. For distributed implementation, the non-convex problem is cast into the dual decomposition framework. Resorting to the theory about matrix pencil, a novel asynchronous iterative method is proposed for solving the dual of the non-convex problem. The methods for beamforming and power control are obtained by investigating the primal problem. Finally, simulation results are provided to demonstrate the convergence and performance of the algorithm. |
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| AbstractList | In this paper, we consider a multi-cell network where every base station (BS) serves multiple users with an antenna array. Each user is associated with only one BS and has a single antenna. Assume that only long-term channel state information (CSI) is available in the system. The objective is to minimize the network downlink transmission power needed to meet the users' signal-to-interference-plus-noise ratio (SINR) requirements. For this objective, we propose an asynchronous distributed beamforming and power control algorithm, which provides the same optimal solution as given by centralized algorithms. To design the algorithm, the power minimization problem is formulated mathematically as a non-convex problem. For distributed implementation, the non-convex problem is cast into the dual decomposition framework. Resorting to the theory about matrix pencil, a novel asynchronous iterative method is proposed for solving the dual of the non-convex problem. The methods for beamforming and power control are obtained by investigating the primal problem. Finally, simulation results are provided to demonstrate the convergence and performance of the algorithm. |
| Author | Siduo Shen Tat-Ming Lok |
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| Cites_doi | 10.1109/MCOM.2012.6146494 10.1109/TSP.2010.2043138 10.1109/GLOCOM.2006.94 10.1109/TWC.2006.1618923 10.1109/TSP.2010.2056685 10.1109/TSP.2010.2089621 10.1109/TWC.2013.012413.120975 10.1109/TSP.2006.890905 10.1109/TWC.2010.05.090936 10.1109/WCNC.2014.6952321 10.1016/0024-3795(93)00126-K 10.1109/49.414651 10.1109/49.730452 10.1109/VETEC.1999.778328 10.1109/TWC.2012.121812.111897 10.1109/TCOMM.2012.051712.110066 10.1109/T-WC.2008.070844 10.1109/TSP.2005.861073 10.1109/TWC.2012.101112.112295 10.1016/0024-3795(79)90094-6 10.1016/j.laa.2012.12.003 10.1109/TVT.2012.2222946 10.1109/WCNC.2013.6555126 10.1109/JSAC.2010.101202 10.1109/TSP.2011.2150218 10.1109/JCN.2011.6157452 10.1109/TSP.2012.2208631 10.1109/TWC.2013.022013.121111 10.1109/MSP.2010.936015 10.1109/ICC.2006.255506 10.1109/TSP.2008.2008553 10.1109/TVT.2003.819629 10.1109/TSP.2010.2049570 |
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| Keywords | matrix pencil Asynchronous distributed algorithm dual decomposition coordinated beamforming coordinated multipoint (CoMP) transmission Parameter estimation Base station Power transmission Wireless telecommunication Downlink Iterative method Cell network Data broadcast Information dissemination Beam forming Implementation Multicast Channel estimation Transportation network Data transmission network Antenna array Mobile radiocommunication Algorithm performance Simulation Power control Optimal solution Distributed algorithm Signal processing Matrix pencil Signal to interference plus noise ratio |
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| SubjectTerms | Algorithm design and analysis Algorithms Antennas Applied sciences Array signal processing Beamforming Channels Computer simulation Control algorithms Detection, estimation, filtering, equalization, prediction Equipments and installations Exact sciences and technology Information, signal and communications theory Interference Iterative methods Mobile radiocommunication systems Networks Optimization Power control Radiocommunications Signal and communications theory Signal to noise ratio Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Vectors Wireless communication |
| Title | Asynchronous Distributed Downlink Beamforming and Power Control in Multi-Cell Networks |
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