2009
DOI: 10.1109/tsp.2009.2017574
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The Error Probability of the Fixed-Complexity Sphere Decoder

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Cited by 74 publications
(60 citation statements)
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“…With some fixed performance degradation (14) [16], the SD has an exponential complexity (in both the worst and the average cases) of C SD = O(m γ n T ) with γ ∈ (0, 1] [16]. The fixed-complexity sphere decoder (FSD) is proved to maintain full diversity with a complexity of C FSD = O(m √ n T ) that is 'subexponential' [17]. On the other hand, the linear receivers, e.g., zero-forcing (ZF) and minimum mean square error schemes, have low complexity but quite poor diversity order n R − n T + 1 [1].…”
Section: Research On Mimo Detectionmentioning
confidence: 99%
“…With some fixed performance degradation (14) [16], the SD has an exponential complexity (in both the worst and the average cases) of C SD = O(m γ n T ) with γ ∈ (0, 1] [16]. The fixed-complexity sphere decoder (FSD) is proved to maintain full diversity with a complexity of C FSD = O(m √ n T ) that is 'subexponential' [17]. On the other hand, the linear receivers, e.g., zero-forcing (ZF) and minimum mean square error schemes, have low complexity but quite poor diversity order n R − n T + 1 [1].…”
Section: Research On Mimo Detectionmentioning
confidence: 99%
“…At the FE stage, for each survivor path, all the possible values of the constellation are assigned to the symbol at the current level. The SE stage starts from each retained path and proceeds down in the tree calculating the solution of the remaining successive-interferencecancellation (SIC) problem [16] as:…”
Section: A U T H O R C O P Ymentioning
confidence: 99%
“…The symbols are detected following a specific ordering also proposed by the authors in [7]. As it was shown in [16], the maximum detection diversity can be achieved with the FSD if the following value of T is chosen: Figure 2 shows the search tree of the FSD algorithm for the case with n T = 4 (T = 1) and QPSK symbols. It can be seen that in the first level all branches are taken into account, meanwhile in the following levels only one branch per level is explored.…”
Section: A U T H O R C O P Ymentioning
confidence: 99%
“…The basic principle of FCLSD algorithm is: not search candidate points in a ball of certain radius, but choose the candidate points which are nearest to the center of the sphere according to set C . For a model o M sume the set of candidate points searched by the receiver is: In the how to de (10) Therefore, the number of the candidate poi la (11) It's found in [7] that, in order pe former section, it has not mentioned termine the number set C in the FCLSD algorithm.…”
Section: Complexity Soft-output Complex List Spher Decoding(fclsd)mentioning
confidence: 99%