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Impact of factor graph on average sum rate for uplink sparse code multiple access systems

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Impact of factor graph on average sum rate for uplink sparse code multiple access systems. / Yang, Zheng; Cui, Jingjing; Lei, Xianfu et al.
In: IEEE Access, Vol. 4, 04.10.2016, p. 6585-6590.

Research output: Contribution to Journal/MagazineLetterpeer-review

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Yang Z, Cui J, Lei X, Ding Z, Fan P, Chen D. Impact of factor graph on average sum rate for uplink sparse code multiple access systems. IEEE Access. 2016 Oct 4;4:6585-6590. doi: 10.1109/ACCESS.2016.2614330

Author

Yang, Zheng ; Cui, Jingjing ; Lei, Xianfu et al. / Impact of factor graph on average sum rate for uplink sparse code multiple access systems. In: IEEE Access. 2016 ; Vol. 4. pp. 6585-6590.

Bibtex

@article{f0dd9562fca04f8a96694a57dc3e4afe,
title = "Impact of factor graph on average sum rate for uplink sparse code multiple access systems",
abstract = "In this paper, we first study the average sum rate of sparse code multiple access (SCMA)systems, where a general scenario is considered under the assumption that the distances between the mobile users and the base station are not necessarily identical. Closed-form analytical results are derived for the average sum rate based on which an optimal factor graph matrix is designed for maximizing the capacity of the SCMA systems. Moreover, we propose a low-complexity iterative algorithm to facilitate the design of the optimal graph matrix. Finally, Monte Carlo simulations are provided to corroborate the accuracy of the theoretical results and the efficiency of the proposed iterative algorithm.",
keywords = "Multiple access, average sum rate, optimal factor graph.",
author = "Zheng Yang and Jingjing Cui and Xianfu Lei and Zhiguo Ding and Pingzhi Fan and Dageng Chen",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2016",
month = oct,
day = "4",
doi = "10.1109/ACCESS.2016.2614330",
language = "English",
volume = "4",
pages = "6585--6590",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Impact of factor graph on average sum rate for uplink sparse code multiple access systems

AU - Yang, Zheng

AU - Cui, Jingjing

AU - Lei, Xianfu

AU - Ding, Zhiguo

AU - Fan, Pingzhi

AU - Chen, Dageng

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2016/10/4

Y1 - 2016/10/4

N2 - In this paper, we first study the average sum rate of sparse code multiple access (SCMA)systems, where a general scenario is considered under the assumption that the distances between the mobile users and the base station are not necessarily identical. Closed-form analytical results are derived for the average sum rate based on which an optimal factor graph matrix is designed for maximizing the capacity of the SCMA systems. Moreover, we propose a low-complexity iterative algorithm to facilitate the design of the optimal graph matrix. Finally, Monte Carlo simulations are provided to corroborate the accuracy of the theoretical results and the efficiency of the proposed iterative algorithm.

AB - In this paper, we first study the average sum rate of sparse code multiple access (SCMA)systems, where a general scenario is considered under the assumption that the distances between the mobile users and the base station are not necessarily identical. Closed-form analytical results are derived for the average sum rate based on which an optimal factor graph matrix is designed for maximizing the capacity of the SCMA systems. Moreover, we propose a low-complexity iterative algorithm to facilitate the design of the optimal graph matrix. Finally, Monte Carlo simulations are provided to corroborate the accuracy of the theoretical results and the efficiency of the proposed iterative algorithm.

KW - Multiple access

KW - average sum rate

KW - optimal factor graph.

U2 - 10.1109/ACCESS.2016.2614330

DO - 10.1109/ACCESS.2016.2614330

M3 - Letter

VL - 4

SP - 6585

EP - 6590

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -