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Content Provider | IET Digital Library |
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Author | Ahmed, Saleem Kim, Sooyoung |
Abstract | List-sphere detection (LSD) is a sub-optimal multiple-input multiple-output (MIMO) detection scheme which searches candidate symbol vectors that lie within a sphere of a given radius. This study presents an efficient LSD based method for a joint iterative MIMO detection scheme. The proposed method utilises a channel condition in order to define the list size. During the search process, the radius is adaptively updated to reduce the computational complexity. Owing to the list size and corresponding radius are adaptively determined by the channel condition, the authors can operate the detector at the most appropriate complexity to produce the required performance. Simulation results show that the proposed methods provide substantial complexity reduction without bit error rate performance degradation. |
Starting Page | 3341 |
Ending Page | 3348 |
Page Count | 8 |
ISSN | 17518628 |
Volume Number | 8 |
e-ISSN | 17518636 |
Issue Number | Issue 18, Dec (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/8/18 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0181 |
Journal | IET Communications |
Publisher Date | 2014-12-18 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Candidate Symbol Vector Channel Condition Communication Complexity Computational Complexity Reduction Efflcient LSD Based Method Interpolation And Function Approximation Iterative Method Joint Iterative MIMO Detection Scheme List Sphere Detection Scheme MIMO Communication Multiple Input Multiple Output Numerical Analysis Optimisation Technique Radio Link And Equipment Search Problem Search Process Signal Detection Wireless Channel |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Computer Science Applications |
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