Robust Linear Precoder Design for Multi-Cell Downlink Transmission
Coordinated information processing by the base stations of multi-cell wireless networks enhances the overall quality of communication in the network. Such coordinations for optimizing any desired network-wide quality of service (QoS) necessitate the base stations to acquire and share some channel st...
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| Vydané v: | IEEE transactions on signal processing Ročník 59; číslo 1; s. 235 - 251 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York, NY
IEEE
01.01.2011
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1053-587X, 1941-0476 |
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| Abstract | Coordinated information processing by the base stations of multi-cell wireless networks enhances the overall quality of communication in the network. Such coordinations for optimizing any desired network-wide quality of service (QoS) necessitate the base stations to acquire and share some channel state information (CSI). With perfect knowledge of channel states, the base stations can adjust their transmissions for achieving a network-wise QoS optimality. In practice, however, the CSI can be obtained only imperfectly. As a result, due to the uncertainties involved, the network is not guaranteed to benefit from a globally optimal QoS. Nevertheless, if the channel estimation perturbations are confined within bounded regions, the QoS measure will also lie within a bounded region. Therefore, by exploiting the notion of robustness in the worst-case sense some worst-case QoS guarantees for the network can be asserted. We adopt a popular model for noisy channel estimates that assumes that estimation noise terms lie within known hyper-spheres. We aim to design linear transceivers that optimize a worst-case QoS measure in downlink transmissions. In particular, we focus on maximizing the worst-case weighted sum-rate of the network and the minimum worst-case rate of the network. For obtaining such transceiver designs, we offer several centralized (fully cooperative) and distributed (limited cooperation) algorithms which entail different levels of complexity and information exchange among the base stations. |
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| AbstractList | Coordinated information processing by the base stations of multi-cell wireless networks enhances the overall quality of communication in the network. Such coordinations for optimizing any desired network-wide quality of service (QoS) necessitate the base stations to acquire and share some channel state information (CSI). With perfect knowledge of channel states, the base stations can adjust their transmissions for achieving a network-wise QoS optimality. In practice, however, the CSI can be obtained only imperfectly. As a result, due to the uncertainties involved, the network is not guaranteed to benefit from a globally optimal QoS. Nevertheless, if the channel estimation perturbations are confined within bounded regions, the QoS measure will also lie within a bounded region. Therefore, by exploiting the notion of robustness in the worst-case sense some worst-case QoS guarantees for the network can be asserted. We adopt a popular model for noisy channel estimates that assumes that estimation noise terms lie within known hyper-spheres. We aim to design linear transceivers that optimize a worst-case QoS measure in downlink transmissions. In particular, we focus on maximizing the worst-case weighted sum-rate of the network and the minimum worst-case rate of the network. For obtaining such transceiver designs, we offer several centralized (fully cooperative) and distributed (limited cooperation) algorithms which entail different levels of complexity and information exchange among the base stations. |
| Author | Prasad, N Xiaodong Wang Tajer, A |
| Author_xml | – sequence: 1 givenname: A surname: Tajer fullname: Tajer, A email: tajer@princeton.edu organization: Electr. Eng. Dept., Princeton Univ., Princeton, NJ, USA – sequence: 2 givenname: N surname: Prasad fullname: Prasad, N email: prasad@nec-labs.com organization: NEC Labs. America, Princeton, NJ, USA – sequence: 3 surname: Xiaodong Wang fullname: Xiaodong Wang email: wangx@ee.columbia.edu organization: Dept. of Electr. Eng., Columbia Univ., New York, NY, USA |
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| Keywords | Parameter estimation multi-cell Worst case method Base station Wireless telecommunication Downlink Cell network Beam forming Optimization Transceiver Channel estimation Robustness Information exchange cooperation Mobile radiocommunication robust Perturbation Beamforming Noisy channel Distributed algorithm Telecommunication network Information processing Signal processing Wireless network Service quality |
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| SubjectTerms | Applied sciences Base stations Beamforming Cation exchanging Channel estimation Channels cooperation Detection, estimation, filtering, equalization, prediction Downlink Exact sciences and technology Information theory Information, signal and communications theory Interference Miscellaneous multi-cell Networks Optimization Perturbation methods Quality of service Quantization robust Robustness Signal and communications theory Signal processing Signal, noise Stations Studies Telecommunications and information theory Transceivers Wireless communication Wireless communications Wireless networks |
| Title | Robust Linear Precoder Design for Multi-Cell Downlink Transmission |
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