MIMO-OFCDM systems with joint iterative detection and optimal power allocation
This paper investigates the orthogonal frequency and code division multiplexing (OFCDM) systems with multiple input multiple output multiplexing (MIMO-OFCDM) and multicode transmission. Combining the iterative detection in the space domain and the hybrid multi-code interference (MDI) cancellation an...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2008-12, Vol.7 (12), p.5504-5516 |
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| creator | Zhou, Yiqing Ng, Tung-Sang |
| description | This paper investigates the orthogonal frequency and code division multiplexing (OFCDM) systems with multiple input multiple output multiplexing (MIMO-OFCDM) and multicode transmission. Combining the iterative detection in the space domain and the hybrid multi-code interference (MDI) cancellation and minimum mean square error (MMSE) detection in the frequency domain, a joint iterative detection is proposed, which enables space and frequency diversity gains to be jointly exploited. Moreover, using a two-dimensional (2-D) averaging channel estimation algorithm, a close form expression is derived for the optimal power allocation between the pilot and all data channels that achieves the best system performance. It is shown that the optimal power ratio mainly depends on the channel estimation algorithm, the number of transmit antennas as well as the number of pilot and data symbols in a packet, but is not sensitive to the changes in signal-to-noise ratio (SNR) and diversity gains. Simulations are conducted to verify the derived optimal power ratio and study the performance of the proposed joint detection algorithm. It is shown that considerable improvement can be obtained when the number of loops in the joint iterative detection increases. Moreover, the system performance is enhanced significantly when the frequency domain spreading factor, N F , increases. |
| doi_str_mv | 10.1109/T-WC.2008.071462 |
| format | Article |
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Combining the iterative detection in the space domain and the hybrid multi-code interference (MDI) cancellation and minimum mean square error (MMSE) detection in the frequency domain, a joint iterative detection is proposed, which enables space and frequency diversity gains to be jointly exploited. Moreover, using a two-dimensional (2-D) averaging channel estimation algorithm, a close form expression is derived for the optimal power allocation between the pilot and all data channels that achieves the best system performance. It is shown that the optimal power ratio mainly depends on the channel estimation algorithm, the number of transmit antennas as well as the number of pilot and data symbols in a packet, but is not sensitive to the changes in signal-to-noise ratio (SNR) and diversity gains. Simulations are conducted to verify the derived optimal power ratio and study the performance of the proposed joint detection algorithm. It is shown that considerable improvement can be obtained when the number of loops in the joint iterative detection increases. Moreover, the system performance is enhanced significantly when the frequency domain spreading factor, N F , increases.</description><identifier>ISSN: 1536-1276</identifier><identifier>EISSN: 1558-2248</identifier><identifier>DOI: 10.1109/T-WC.2008.071462</identifier><identifier>CODEN: ITWCAX</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Allocations ; Applied sciences ; Channel estimation ; Channels ; Code division multiplexing ; Coding, codes ; Detection, estimation, filtering, equalization, prediction ; Diversity reception ; Exact sciences and technology ; Frequency diversity ; Frequency domain analysis ; Frequency domains ; Gain ; Information, signal and communications theory ; Interference cancellation ; iterative interference cancellation ; Least mean squares algorithm ; Mean square error methods ; MIMO ; multi-code ; Multiplexing ; OFCDM ; OFDM ; optimal power allocation two-dimensional spreading ; Optimization ; Pilots ; Signal and communications theory ; Signal to noise ratio ; Signal, noise ; Studies ; System performance ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Transmission and modulation (techniques and equipments)</subject><ispartof>IEEE transactions on wireless communications, 2008-12, Vol.7 (12), p.5504-5516</ispartof><rights>2009 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-70362cbd6f3b7d036d0d86653301580a8d375e2ed3a2d375235cfbdb61a422683</citedby><cites>FETCH-LOGICAL-c457t-70362cbd6f3b7d036d0d86653301580a8d375e2ed3a2d375235cfbdb61a422683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4723359$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4723359$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20965879$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhou, Yiqing</creatorcontrib><creatorcontrib>Ng, Tung-Sang</creatorcontrib><title>MIMO-OFCDM systems with joint iterative detection and optimal power allocation</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>This paper investigates the orthogonal frequency and code division multiplexing (OFCDM) systems with multiple input multiple output multiplexing (MIMO-OFCDM) and multicode transmission. Combining the iterative detection in the space domain and the hybrid multi-code interference (MDI) cancellation and minimum mean square error (MMSE) detection in the frequency domain, a joint iterative detection is proposed, which enables space and frequency diversity gains to be jointly exploited. Moreover, using a two-dimensional (2-D) averaging channel estimation algorithm, a close form expression is derived for the optimal power allocation between the pilot and all data channels that achieves the best system performance. It is shown that the optimal power ratio mainly depends on the channel estimation algorithm, the number of transmit antennas as well as the number of pilot and data symbols in a packet, but is not sensitive to the changes in signal-to-noise ratio (SNR) and diversity gains. Simulations are conducted to verify the derived optimal power ratio and study the performance of the proposed joint detection algorithm. It is shown that considerable improvement can be obtained when the number of loops in the joint iterative detection increases. Moreover, the system performance is enhanced significantly when the frequency domain spreading factor, N F , increases.</description><subject>Algorithms</subject><subject>Allocations</subject><subject>Applied sciences</subject><subject>Channel estimation</subject><subject>Channels</subject><subject>Code division multiplexing</subject><subject>Coding, codes</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Diversity reception</subject><subject>Exact sciences and technology</subject><subject>Frequency diversity</subject><subject>Frequency domain analysis</subject><subject>Frequency domains</subject><subject>Gain</subject><subject>Information, signal and communications theory</subject><subject>Interference cancellation</subject><subject>iterative interference cancellation</subject><subject>Least mean squares algorithm</subject><subject>Mean square error methods</subject><subject>MIMO</subject><subject>multi-code</subject><subject>Multiplexing</subject><subject>OFCDM</subject><subject>OFDM</subject><subject>optimal power allocation two-dimensional spreading</subject><subject>Optimization</subject><subject>Pilots</subject><subject>Signal and communications theory</subject><subject>Signal to noise ratio</subject><subject>Signal, noise</subject><subject>Studies</subject><subject>System performance</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Transmission and modulation (techniques and equipments)</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqFkctLAzEQxhdR8HkXvARBPW3NY_PYo6xPsPZS6TGkSRZTtpuapEr_e7NUPHjQ08wwv5lJvq8oThEcIQTr62k5a0YYQjGCHFUM7xQHiFJRYlyJ3SEnrESYs_3iMMYFhIgzSg-Kl_HTeFJO7pvbMYibmOwygk-X3sDCuz4Bl2xQyX1YYGyyOjnfA9Ub4FfJLVUHVv7TBqC6zms1NI-LvVZ10Z58x6Pi9f5u2jyWz5OHp-bmudQV5ankkDCs54a1ZM5NLgw0gjFKCERUQCUM4dRia4jCQ4oJ1e3czBlSFcZMkKPiart3Ffz72sYkly5q23Wqt34dZT0c4DUj_5KCU8iyFjCTl3-SpKoIrRHP4PkvcOHXoc__lYIRinCWP0NwC-ngYwy2lauQJQsbiaAcHJNTOWvk4JjcOpZHLr73qqhV1wbVaxd_5jCsGRW8ztzZlnPW2p92xTHJ7yNfkaqccA</recordid><startdate>20081201</startdate><enddate>20081201</enddate><creator>Zhou, Yiqing</creator><creator>Ng, Tung-Sang</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Combining the iterative detection in the space domain and the hybrid multi-code interference (MDI) cancellation and minimum mean square error (MMSE) detection in the frequency domain, a joint iterative detection is proposed, which enables space and frequency diversity gains to be jointly exploited. Moreover, using a two-dimensional (2-D) averaging channel estimation algorithm, a close form expression is derived for the optimal power allocation between the pilot and all data channels that achieves the best system performance. It is shown that the optimal power ratio mainly depends on the channel estimation algorithm, the number of transmit antennas as well as the number of pilot and data symbols in a packet, but is not sensitive to the changes in signal-to-noise ratio (SNR) and diversity gains. Simulations are conducted to verify the derived optimal power ratio and study the performance of the proposed joint detection algorithm. It is shown that considerable improvement can be obtained when the number of loops in the joint iterative detection increases. Moreover, the system performance is enhanced significantly when the frequency domain spreading factor, N F , increases.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/T-WC.2008.071462</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Allocations Applied sciences Channel estimation Channels Code division multiplexing Coding, codes Detection, estimation, filtering, equalization, prediction Diversity reception Exact sciences and technology Frequency diversity Frequency domain analysis Frequency domains Gain Information, signal and communications theory Interference cancellation iterative interference cancellation Least mean squares algorithm Mean square error methods MIMO multi-code Multiplexing OFCDM OFDM optimal power allocation two-dimensional spreading Optimization Pilots Signal and communications theory Signal to noise ratio Signal, noise Studies System performance Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) |
| title | MIMO-OFCDM systems with joint iterative detection and optimal power allocation |
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