An independent sharing of two 16-star QAM broadcast channels

Celidonio, M.; Zenobio, D. Di

doi:10.1109/pimrc.1995.476415

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…We set ଵ ൌ ଵ ଶ ൌ ଶ . For a 16 star-QAM, in order to maximize the MED between two adjacent points, as denoted by [9], the following measures are to be taken in consideration: A degree of Ʌ ൌ ʹʹǤͷι is set between the internal ring and the external ring. The ratio between the internal radius and the external one is set to 0.63, Ⱦ ൌ ଵ Ǥଷ .…”

Section: Mother Constellation Parametersmentioning

confidence: 99%

SCMA Codebook Design Based on a 16 Star-QAM with MED Maximization

Meriem

Hatim²,

Latif³

et al. 2022

ITM Web Conf.

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The SCMA codebook design is based on star-QAM signalling constellations with operating several segmentations to generate the different user’s codebook while considering the MED maximization as the criterion design. In addition, we constructed the mapping matrix F using Progressive Edge Growth (PEG) algorithm which facilitate iterative decoding performance of the message passing algorithm (MPA). At the end, a comparison with similar studies is conducted on the MEDs of the designed codebooks.

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Section: Mother Constellation Parametersmentioning

confidence: 99%

SCMA Codebook Design Based on a 16 Star-QAM with MED Maximization

Meriem

Hatim²,

Latif³

et al. 2022

ITM Web Conf.

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“…4, the codebook is designed as explained in Algorithm where r1 is computed as the distance of 1st ring from the centre. Also α=3, β= 1.587, θ=22.5° is considered from [8], [9] & [22]. Thus r2, r3and r4 are computed as r1=0.63, r2= β * r1 = 1, r3=3*0.63, r4= α *r2 = 3.…”

Section: A Optimization Of MC For Scmamentioning

confidence: 99%

“…Step 5: The bit labelling follows the generalized rules to analyse the design-metric for the codebook constructed for each of the users [25], [26]. The Minimum Euclidian Distance (MED) d min , for 16-star QAM MC, is 0.39 [8]. The point in subdividing the MC into sub-constellations is to accelerate the MED of the Sub-constellations S1, S2, S3and S4, that can be analysed by (8), where S represents the set of constellation points in sub-constellation, for i=1, 2, 3, 4 sub-constellations and 1 and 2 represents two distinct vectors in each sub-constellation It represents the MED between the two consecutive symbol vectors in a given subset of constellation, that results into 2.11 for S2 and S4.…”

Section: E Design Metric Calculationsmentioning

confidence: 99%

Optimized SCMA Codebook Design Using Rotation Based Sub-Divided Constellation for Overloaded System

Madhura

Rukmini

Raut

2021

Preprint

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5G in wireless communication aims at deploying massive connectivity. Sparse Code Multiple Access (SCMA), proves to be an emerging candidate with multidimensional codebooks proposing, high shaping gain and advanced multiuser detection. A framework for designing a codebook for 200 % overloaded SCMA system with system model is presented in this paper. This article aims at delineating a codebook by subdividing the Mother Constellation (MC) and rotating it to achieve a better Symbol Error Rate (SER) performance over higher values of SNR. Different Codebook designs are taken into consideration for comparing with the sub-constellation based 200% overloaded SCMA. Abstract — 5G in wireless communication aims at deploying massive connectivity. Sparse Code Multiple Access (SCMA), proves to be an emerging candidate with multidimensional codebooks proposing, high shaping gain and advanced multiuser detection. A framework for designing a codebook for 200 % overloaded SCMA system with system model is presented in this paper. This article aims at delineating a codebook by subdividing the Mother Constellation (MC) and rotating it to achieve a better Symbol Error Rate (SER) performance over higher values of SNR. Different Codebook designs are taken into consideration for comparing with the sub-constellation based 200% overloaded SCMA.

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