2005
DOI: 10.1109/jssc.2005.847505
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VLSI implementation of MIMO detection using the sphere decoding algorithm

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Cited by 555 publications
(597 citation statements)
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“…The ML solution (3) corresponds to the path through the tree starting by the root and leading to the leaf associated with the smallest PED. The basic ideas underlying the SD algorithm, as described in [9,12], are briefly summarized as follows: The search in the tree is constrained to nodes which lie within a radius r aroundỹ (and hence, nodes from the tree are pruned for which d i s (i) is larger than r) and tree traversal is performed depth-first, visiting the children of a given node in ascending order of their PEDs. The method using this enumeration scheme is also known as the Schnorr-Euchner (SE) SD algorithm [6].…”
Section: Detection Using the Sphere-decoding Algorithmmentioning
confidence: 99%
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“…The ML solution (3) corresponds to the path through the tree starting by the root and leading to the leaf associated with the smallest PED. The basic ideas underlying the SD algorithm, as described in [9,12], are briefly summarized as follows: The search in the tree is constrained to nodes which lie within a radius r aroundỹ (and hence, nodes from the tree are pruned for which d i s (i) is larger than r) and tree traversal is performed depth-first, visiting the children of a given node in ascending order of their PEDs. The method using this enumeration scheme is also known as the Schnorr-Euchner (SE) SD algorithm [6].…”
Section: Detection Using the Sphere-decoding Algorithmmentioning
confidence: 99%
“…In the remainder of the chapter, the computational complexity of SD is characterized by the number of visited nodes (including the root node but excluding the leaves), which was shown in [11,12] to be closely related to the throughput of corresponding VLSI implementations.…”
Section: Detection Using the Sphere-decoding Algorithmmentioning
confidence: 99%
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