An Improved Soft Decision Based MIMO Detection Using Lattice Reduction
This paper presents a performance analysis of soft decision based Lattice Reduction (LR) aided Schnorr-Euchner (SE) multiple-input-multiple-output (MIMO) detection algorithm with that of a hard one. We develop an advanced soft decoding scheme, for 4×4 MIMO with different modulation schemes and it pr...
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| Veröffentlicht in: | International journal of computer and communication engineering 2014-07, Vol.3 (4), p.264-268 |
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| container_title | International journal of computer and communication engineering |
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| creator | Rahman, Mehnaz Rohani, Ehsan Xu, Jingwei Choi, Gwan S |
| description | This paper presents a performance analysis of soft decision based Lattice Reduction (LR) aided Schnorr-Euchner (SE) multiple-input-multiple-output (MIMO) detection algorithm with that of a hard one. We develop an advanced soft decoding scheme, for 4×4 MIMO with different modulation schemes and it provides 1.3 to 1.5 dB improvement compared to the LR-aided hard decision based detection method. The optimum parameters for K and saturation limit are further derived using extensive simulation. In the conventional K-best algorithm limiting the LLR values is not beneficiary in reducing the optimum size of candidate list, whereas applying the saturation limit on the LLR values in LR-aided algorithm will result in more than 8x reduction in list size as well as in the complexity of detector and LLR calculation unit. |
| doi_str_mv | 10.7763/IJCCE.2014.V3.333 |
| format | Article |
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In the conventional K-best algorithm limiting the LLR values is not beneficiary in reducing the optimum size of candidate list, whereas applying the saturation limit on the LLR values in LR-aided algorithm will result in more than 8x reduction in list size as well as in the complexity of detector and LLR calculation unit.</description><identifier>ISSN: 2010-3743</identifier><identifier>EISSN: 2010-3743</identifier><identifier>DOI: 10.7763/IJCCE.2014.V3.333</identifier><language>eng</language><publisher>Singapore: IACSIT Press</publisher><subject>Algorithms ; Computer simulation ; Lattices ; Lists ; Modulation ; Optimization ; Reduction ; Saturation</subject><ispartof>International journal of computer and communication engineering, 2014-07, Vol.3 (4), p.264-268</ispartof><rights>Copyright IACSIT Press Jul 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2177-c1622e64f4dcae95adf1737c94dde557f036826538d438b7cd375d03836ff0633</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Rahman, Mehnaz</creatorcontrib><creatorcontrib>Rohani, Ehsan</creatorcontrib><creatorcontrib>Xu, Jingwei</creatorcontrib><creatorcontrib>Choi, Gwan S</creatorcontrib><title>An Improved Soft Decision Based MIMO Detection Using Lattice Reduction</title><title>International journal of computer and communication engineering</title><description>This paper presents a performance analysis of soft decision based Lattice Reduction (LR) aided Schnorr-Euchner (SE) multiple-input-multiple-output (MIMO) detection algorithm with that of a hard one. 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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Algorithms Computer simulation Lattices Lists Modulation Optimization Reduction Saturation |
| title | An Improved Soft Decision Based MIMO Detection Using Lattice Reduction |
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