On Capacity-Based Codebook Design and Advanced Decoding for Sparse Code Multiple Access Systems

Xiao, Kexin; Xia, Bin; Chen, Zhiyong; Xiao, Baicen; Chen, Dageng; Ma, Shaodan

doi:10.1109/twc.2018.2816929

Cited by 56 publications

(28 citation statements)

References 35 publications

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“…We consider an SCMA system with J = 4 resource elements that supports K = 6 users, yielding a normalized user-load of 1.5. The codebook is defined according to [13] with size M = 4 and an indicator matrix F of…”

Section: Simulation Resultsmentioning

confidence: 99%

“…To maximize the minimum codeword distance, a multi-dimensional codebook is designed based on a constellation rotation and interleaving method in [12]. In [13], capacity based codebook design is proposed to achieve the maximum sum rate. However, supporting more users than the number of resource elements result in a rank-deficient system, hence the complexity of the optimal receiver increases exponentially with the number of interferring users.…”

Section: Introductionmentioning

confidence: 99%

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Iterative Receiver Design for FTN Signaling Aided Sparse Code Multiple Access

Yuan

Zhang

et al. 2020

IEEE Trans. Wireless Commun.

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The sparse code multiple access (SCMA) is a promising candidate for bandwidth-efficient next generation wireless communications, since it can support more users than the number of resource elements. On the same note, faster-than-Nyquist (FTN) signaling can also be used to improve the spectral efficiency. Hence in this paper, we consider a combined uplink FTN-SCMA system in which the data symbols corresponding to a user are further packed using FTN signaling. As a result, a higher spectral efficiency is achieved at the cost of introducing intentional inter-symbol interference (ISI). To perform joint channel estimation and detection, we design a low complexity iterative receiver based on the factor graph framework. In addition, to reduce the signaling overhead and transmission latency of our SCMA system, we intrinsically amalgamate it with grant-free scheme. Consequently, the active and inactive users should be distinguished. To address this problem, we extend the aforementioned receiver and develop a new algorithm for jointly estimating the channel state information, detecting the user activity and for performs data detection. In order to further reduce the complexity, an energy minimization based approximation is employed for restricting the user state to Gaussian. Finally, a hybrid message passing algorithm is conceived. Our Simulation results show that the FTN-SCMA system relying on the proposed receiver design has a higher throughput than conventional SCMA scheme at a negligible performance loss.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Iterative Receiver Design for FTN Signaling Aided Sparse Code Multiple Access

Yuan

Zhang

et al. 2020

IEEE Trans. Wireless Commun.

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“…Codebook reuse can improve both the overloading factor and the number of connections to enable massive connectivity. Optimal SCMA decoding is achieved using the maximum a priori (MAP) decoding [36] but the message passing algorithm (MPA) which offers approximate performance at reduced decoding complexity is considered in this work.…”

Section: B Scma Encodingmentioning

confidence: 99%

Biological Resource Allocation Algorithms for Heterogeneous Uplink PD-SCMA NOMA Networks

Sefako

Walingo

2020

IEEE Access

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Due to their ability to multiplex users on a resource element (RE), Non-orthogonal multiple access (NOMA) techniques have gained popularity in 5G network implementation. The features of 5G heterogeneous networks have necessitated the development of hybrid NOMA schemes combining the merits of the individual NOMA schemes for optimal performance. The hybrid technologies on 5G networks make complex air interfaces resulting in new resource allocation (RA) and user pairing (UP) challenges aimed at limiting the multiplexed users interference. Furthermore, common analytical techniques for evaluating the performance of the schemes lead to unrealistic network performance bounds necessitating alternative schemes. This work explores the feasibility of a hybrid power domain sparse code non-orthogonal multiple access (PD-SCMA). The scheme integrates both power and code domain multiple access on an uplink network of small cell user equipments (SUEs) and macro cell user equipments (MUEs). Alternative biological RA/UP schemes; the ant colony optimization (ACO), particle swarm optimization (PSO) and a hybrid adaptive particle swarm optimization (APASO) algorithms, are proposed. The performance results indicate the developed APASO outperforming both the PSO and ACO in sum rate and energy efficiency optimization on application to the PD-SCMA based heterogeneous network.

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“…The research for the SCMA system is mainly focused on codebook design [4,17,18], MUD technology [19,20,21], and performance evaluation [22,23,24,25]. For example, Ref.…”

Section: Introductionmentioning

confidence: 99%

“…In [17], joint codebook design and assignment are considered to minimize the algorithm complexity of MPA. In order to take full advantage of the sparse characteristic of SCMA codebook, the codebook design and the advanced decoding strategy are studied in [18]. Ref.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design of SCMA-Based Hybrid Unicast-Multicast Relay-Assisted Networks

Zhang

Wang

et al. 2019

Sensors

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This paper studies a multi-user network model based on sparse code multiple access (SCMA), where both unicast and multicast services are considered. In the direct transmission scheme, the communication between the base station (BS) and the users is completed with one stage, in which the relay is inexistent. In the two-stage cooperative transmission scheme, any number of relays are placed to improve the reliability of wireless communication system. The BS broadcasts the requested message to users and relays in the first stage, and the successful relays forward the message to unsuccessful users in the second stage. To characterize the performance of these two schemes, we derive the exact and approximate expressions of average outage probability. Furthermore, to take full advantage of the cooperative diversity, an optimal power allocation and relay location strategy in the high signal-to-noise ratio (SNR) regime is studied. The outage probability reaches the minimum value when the first stage occupies half of the total energy consumed. Simulation and analysis results are presented to demonstrate the performance of these two schemes. The results show that the two-stage cooperative scheme effectively reduce the average outage probability in SCMA network, especially in the high SNR region.

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On Capacity-Based Codebook Design and Advanced Decoding for Sparse Code Multiple Access Systems

Cited by 56 publications

References 35 publications

Iterative Receiver Design for FTN Signaling Aided Sparse Code Multiple Access

Iterative Receiver Design for FTN Signaling Aided Sparse Code Multiple Access

Biological Resource Allocation Algorithms for Heterogeneous Uplink PD-SCMA NOMA Networks

Analysis and Design of SCMA-Based Hybrid Unicast-Multicast Relay-Assisted Networks

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