Multi-User and Single-User Throughputs for Downlink MIMO Channels with Outdated Channel State Information
Prior research has shown that delayed channel state information (CSI) severely degrades the throughput performance of multi-user (MU) multiple-input multiple-output (MIMO) transmission, resulting in a preference for single-user (SU) transmission. This paper investigates how the relative performance...
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Veröffentlicht in: | IEEE wireless communications letters 2014-06, Vol.3 (3), p.321-324 |
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creator | Qi Wang Greenstein, Larry J. Cimini, Leonard J. Chan, Douglas S. Hedayat, Ahmadreza |
description | Prior research has shown that delayed channel state information (CSI) severely degrades the throughput performance of multi-user (MU) multiple-input multiple-output (MIMO) transmission, resulting in a preference for single-user (SU) transmission. This paper investigates how the relative performance of MU-MIMO and SU-MIMO is affected by 1) different Doppler spectra, and 2) high-order prediction methods for channel estimation. Simulation results reveal that the often-used Jakes-Clarke spectrum is the worst case for MU performance. By evaluating the impact of other Doppler spectra and high-order channel prediction on MU-MIMO performance, we demonstrate that MU can tolerate larger CSI delays and retain its theoretical advantage over SU in practice. |
doi_str_mv | 10.1109/WCL.2014.032814.140050 |
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This paper investigates how the relative performance of MU-MIMO and SU-MIMO is affected by 1) different Doppler spectra, and 2) high-order prediction methods for channel estimation. Simulation results reveal that the often-used Jakes-Clarke spectrum is the worst case for MU performance. By evaluating the impact of other Doppler spectra and high-order channel prediction on MU-MIMO performance, we demonstrate that MU can tolerate larger CSI delays and retain its theoretical advantage over SU in practice.</description><identifier>ISSN: 2162-2337</identifier><identifier>EISSN: 2162-2345</identifier><identifier>DOI: 10.1109/WCL.2014.032814.140050</identifier><identifier>CODEN: IWCLAF</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Array signal processing ; broadcast channel ; Channel estimation ; delay ; Doppler effect ; MIMO ; mode selection ; Polynomials ; quantized feedback ; Throughput ; Wireless communication</subject><ispartof>IEEE wireless communications letters, 2014-06, Vol.3 (3), p.321-324</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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By evaluating the impact of other Doppler spectra and high-order channel prediction on MU-MIMO performance, we demonstrate that MU can tolerate larger CSI delays and retain its theoretical advantage over SU in practice.</description><subject>Array signal processing</subject><subject>broadcast channel</subject><subject>Channel estimation</subject><subject>delay</subject><subject>Doppler effect</subject><subject>MIMO</subject><subject>mode selection</subject><subject>Polynomials</subject><subject>quantized feedback</subject><subject>Throughput</subject><subject>Wireless communication</subject><issn>2162-2337</issn><issn>2162-2345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtqwzAQRU1poSHNFxSKoGunelr2srivQEIWSehSKJYcK3XkVJIJ_fsquM1s7txh7gycJHlAcIoQLJ4-y_kUQ0SnkOA8CqIQMniVjDDKcIoJZdeXnvDbZOL9HsbKIMIoHyVm0bfBpBuvHZBWgZWxu1YPft24rt81xz54UHcOvHQn2xr7BRazxRKUjbRWtx6cTGjAsg9KBq3-x2AVogUzG4MHGUxn75KbWrZeT_50nGzeXtflRzpfvs_K53laEU5CWjNUUQXznFTVVvK8KCqV8y3PMMsklbBgGFKuldK0qrcsywqisK6lqiVhsOZknDwOd4-u--61D2Lf9c7GlwJxVhAaMaG4lQ1bleu8d7oWR2cO0v0IBMWZrIhkxZmsGMiKgWwM3g9Bo7W-hDKekxwR8gvxLXU2</recordid><startdate>20140601</startdate><enddate>20140601</enddate><creator>Qi Wang</creator><creator>Greenstein, Larry J.</creator><creator>Cimini, Leonard J.</creator><creator>Chan, Douglas S.</creator><creator>Hedayat, Ahmadreza</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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This paper investigates how the relative performance of MU-MIMO and SU-MIMO is affected by 1) different Doppler spectra, and 2) high-order prediction methods for channel estimation. Simulation results reveal that the often-used Jakes-Clarke spectrum is the worst case for MU performance. By evaluating the impact of other Doppler spectra and high-order channel prediction on MU-MIMO performance, we demonstrate that MU can tolerate larger CSI delays and retain its theoretical advantage over SU in practice.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/WCL.2014.032814.140050</doi><tpages>4</tpages></addata></record> |
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subjects | Array signal processing broadcast channel Channel estimation delay Doppler effect MIMO mode selection Polynomials quantized feedback Throughput Wireless communication |
title | Multi-User and Single-User Throughputs for Downlink MIMO Channels with Outdated Channel State Information |
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