2018
DOI: 10.1109/lcomm.2018.2797276
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Signal Space Diversity in Single and Multiuser Scenarios Employing Sphere Decoder Detector

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Cited by 7 publications
(5 citation statements)
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“…Several works have focused on enhancing the coverage and performance of wireless systems by counteracting the detrimental effects of fading. Diversity and combining techniques have been extensively studied in the literature [ 10 , 11 , 12 , 13 , 14 ]. Such techniques focus on processing various replicas of the transmitted signal, which are affected by independent fading [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Several works have focused on enhancing the coverage and performance of wireless systems by counteracting the detrimental effects of fading. Diversity and combining techniques have been extensively studied in the literature [ 10 , 11 , 12 , 13 , 14 ]. Such techniques focus on processing various replicas of the transmitted signal, which are affected by independent fading [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Further, an advanced ordered block MMSE decoder for GSM is also presented in Chen et al, 25 eliminating ineffectual computation without compromising the performance as compared to the conventional techniques. Signals in Carvajal et al 26 are presented in the form of a matrix arrangement to implement a sphere decoder at the receiver. Al‐Nahhal and Dobre 27 have proposed a novel low complexity sphere decoder algorithm for quadrature spatial modulation (QSM) decoders for the decreased complexity of QSM‐ML.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, SSD has been minimally studied in multiuser scenarios because it is necessary to employ a maximum-likelihood detector (MLD) at the receiver, which is characterized by its exponential complexity [10]. However, in [11], SSD is exploited in a single-carrier and single-cell multiuser scenario by using the sphere decoder (SD) [12] in order to decrease the MLD complexity. SD transforms the decoding process into a tree search algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…SD transforms the decoding process into a tree search algorithm. In addition, in [11], an approximate expression to evaluate the BER for a single user scenario is obtained. Thus, this expression ignores the presence of interference.…”
Section: Introductionmentioning
confidence: 99%