Multi-Level Zero-Forcing Method for Multiuser Downlink System with Per-Antenna Power Constraint
Multiuser downlink beamforming methods have been studied recently. As known, the MIMO broadcast channel capacity can be achieved by dirty paper coding (DPC). However, the high complexity of DPC is hard to implement. Linear zero-forcing beamforming strategy can achieve the same asymptotic sum-rate as...
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creator | Shenfa Liu Nan Hu ZhiQiang He Kai Niu Weiling Wu |
description | Multiuser downlink beamforming methods have been studied recently. As known, the MIMO broadcast channel capacity can be achieved by dirty paper coding (DPC). However, the high complexity of DPC is hard to implement. Linear zero-forcing beamforming strategy can achieve the same asymptotic sum-rate as that of DPC, when the number of users goes to infinity. For the linear zero-forcing system, (D. Bartolome et al., 2004) gives several power allocation methods among users for different objectives. The above power allocation has an assumption of sum power constraint (SPC), however, recently some researcher study a more practical power constraint name per-antenna power constraint (PAPC). The optimum power allocation aims for maximize the sum-rate under the PAPC is given in (F. Boccardi et al., 2006). In this paper, we find that if the transmit antenna number M is larger than the user number K, a multi-level zero-forcing method can be adopted, and a multi-layer structure is proposed for realizing the method. A sub-optimal power allocation algorithm is also proposed to find the power allocation matrix. Simulation result shows that the proposed multi-level zero-forcing method can achieve a higher sum-capacity than that of (F. Boccardi et al., 2006) under PAPC. |
doi_str_mv | 10.1109/VETECS.2007.464 |
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As known, the MIMO broadcast channel capacity can be achieved by dirty paper coding (DPC). However, the high complexity of DPC is hard to implement. Linear zero-forcing beamforming strategy can achieve the same asymptotic sum-rate as that of DPC, when the number of users goes to infinity. For the linear zero-forcing system, (D. Bartolome et al., 2004) gives several power allocation methods among users for different objectives. The above power allocation has an assumption of sum power constraint (SPC), however, recently some researcher study a more practical power constraint name per-antenna power constraint (PAPC). The optimum power allocation aims for maximize the sum-rate under the PAPC is given in (F. Boccardi et al., 2006). In this paper, we find that if the transmit antenna number M is larger than the user number K, a multi-level zero-forcing method can be adopted, and a multi-layer structure is proposed for realizing the method. A sub-optimal power allocation algorithm is also proposed to find the power allocation matrix. Simulation result shows that the proposed multi-level zero-forcing method can achieve a higher sum-capacity than that of (F. Boccardi et al., 2006) under PAPC.</description><identifier>ISSN: 1550-2252</identifier><identifier>ISBN: 9781424402663</identifier><identifier>ISBN: 1424402662</identifier><identifier>DOI: 10.1109/VETECS.2007.464</identifier><language>eng</language><publisher>IEEE</publisher><subject>Array signal processing ; Broadcasting ; Channel capacity ; Downlink ; Helium ; MIMO ; Multiaccess communication ; Power engineering and energy ; Power system modeling ; Transmitting antennas</subject><ispartof>2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring, 2007, p.2248-2252</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4212892$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,27930,54925</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4212892$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Shenfa Liu</creatorcontrib><creatorcontrib>Nan Hu</creatorcontrib><creatorcontrib>ZhiQiang He</creatorcontrib><creatorcontrib>Kai Niu</creatorcontrib><creatorcontrib>Weiling Wu</creatorcontrib><title>Multi-Level Zero-Forcing Method for Multiuser Downlink System with Per-Antenna Power Constraint</title><title>2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring</title><addtitle>VETECS</addtitle><description>Multiuser downlink beamforming methods have been studied recently. As known, the MIMO broadcast channel capacity can be achieved by dirty paper coding (DPC). However, the high complexity of DPC is hard to implement. Linear zero-forcing beamforming strategy can achieve the same asymptotic sum-rate as that of DPC, when the number of users goes to infinity. For the linear zero-forcing system, (D. Bartolome et al., 2004) gives several power allocation methods among users for different objectives. The above power allocation has an assumption of sum power constraint (SPC), however, recently some researcher study a more practical power constraint name per-antenna power constraint (PAPC). The optimum power allocation aims for maximize the sum-rate under the PAPC is given in (F. Boccardi et al., 2006). In this paper, we find that if the transmit antenna number M is larger than the user number K, a multi-level zero-forcing method can be adopted, and a multi-layer structure is proposed for realizing the method. A sub-optimal power allocation algorithm is also proposed to find the power allocation matrix. Simulation result shows that the proposed multi-level zero-forcing method can achieve a higher sum-capacity than that of (F. Boccardi et al., 2006) under PAPC.</description><subject>Array signal processing</subject><subject>Broadcasting</subject><subject>Channel capacity</subject><subject>Downlink</subject><subject>Helium</subject><subject>MIMO</subject><subject>Multiaccess communication</subject><subject>Power engineering and energy</subject><subject>Power system modeling</subject><subject>Transmitting antennas</subject><issn>1550-2252</issn><isbn>9781424402663</isbn><isbn>1424402662</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotzE1PwjAcgPEmaiIiZw9e-gWKbdeX9UgmoAlEEtCDl6Xr_kh1tKYrEr69Rj09l18ehG4YHTNGzd3LdDOt1mNOqR4LJc7QyOiSCS4E5UoV52jApKSEc8kv0VXfv1MqNC34ANXLQ5c9WcAXdPgVUiSzmJwPb3gJeRdbvI0J_5pDDwnfx2PofPjA61OfYY-PPu_wChKZhAwhWLyKxx9WxdDnZH3I1-hia7seRv8doufZdFM9kMXT_LGaLIhnWmbimDW6pYYL01IrW-u4VUChlGJbWqWtk8oYpmkpG-WMKUpwqnBcSyVMY5piiG7_vh4A6s_k9zadasEZLw0vvgGhHVRU</recordid><startdate>200704</startdate><enddate>200704</enddate><creator>Shenfa Liu</creator><creator>Nan Hu</creator><creator>ZhiQiang He</creator><creator>Kai Niu</creator><creator>Weiling Wu</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200704</creationdate><title>Multi-Level Zero-Forcing Method for Multiuser Downlink System with Per-Antenna Power Constraint</title><author>Shenfa Liu ; Nan Hu ; ZhiQiang He ; Kai Niu ; Weiling Wu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c1a97d09249d0a5dac2a6e0e854f8a67ac569917085b6c9938ec63c275649b9b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Array signal processing</topic><topic>Broadcasting</topic><topic>Channel capacity</topic><topic>Downlink</topic><topic>Helium</topic><topic>MIMO</topic><topic>Multiaccess communication</topic><topic>Power engineering and energy</topic><topic>Power system modeling</topic><topic>Transmitting antennas</topic><toplevel>online_resources</toplevel><creatorcontrib>Shenfa Liu</creatorcontrib><creatorcontrib>Nan Hu</creatorcontrib><creatorcontrib>ZhiQiang He</creatorcontrib><creatorcontrib>Kai Niu</creatorcontrib><creatorcontrib>Weiling Wu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shenfa Liu</au><au>Nan Hu</au><au>ZhiQiang He</au><au>Kai Niu</au><au>Weiling Wu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-Level Zero-Forcing Method for Multiuser Downlink System with Per-Antenna Power Constraint</atitle><btitle>2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring</btitle><stitle>VETECS</stitle><date>2007-04</date><risdate>2007</risdate><spage>2248</spage><epage>2252</epage><pages>2248-2252</pages><issn>1550-2252</issn><isbn>9781424402663</isbn><isbn>1424402662</isbn><abstract>Multiuser downlink beamforming methods have been studied recently. As known, the MIMO broadcast channel capacity can be achieved by dirty paper coding (DPC). However, the high complexity of DPC is hard to implement. Linear zero-forcing beamforming strategy can achieve the same asymptotic sum-rate as that of DPC, when the number of users goes to infinity. For the linear zero-forcing system, (D. Bartolome et al., 2004) gives several power allocation methods among users for different objectives. The above power allocation has an assumption of sum power constraint (SPC), however, recently some researcher study a more practical power constraint name per-antenna power constraint (PAPC). The optimum power allocation aims for maximize the sum-rate under the PAPC is given in (F. Boccardi et al., 2006). In this paper, we find that if the transmit antenna number M is larger than the user number K, a multi-level zero-forcing method can be adopted, and a multi-layer structure is proposed for realizing the method. A sub-optimal power allocation algorithm is also proposed to find the power allocation matrix. Simulation result shows that the proposed multi-level zero-forcing method can achieve a higher sum-capacity than that of (F. Boccardi et al., 2006) under PAPC.</abstract><pub>IEEE</pub><doi>10.1109/VETECS.2007.464</doi><tpages>5</tpages></addata></record> |
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subjects | Array signal processing Broadcasting Channel capacity Downlink Helium MIMO Multiaccess communication Power engineering and energy Power system modeling Transmitting antennas |
title | Multi-Level Zero-Forcing Method for Multiuser Downlink System with Per-Antenna Power Constraint |
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