Low Complexity Techniques for SCMA Detection

Bayesteh, Alireza; Nikopour, Hosein; Taherzadeh, M.; Baligh, Hadi; Ma, Jun

doi:10.1109/glocomw.2015.7414184

Cited by 96 publications

(101 citation statements)

References 9 publications

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“…However, the receiver complexity may become excessive. To circumvent this problem, improved variants of the message passing algorithm have been proposed in [75]- [83]. Specifically, a low-complexity logarithmic-domain message passing algorithm (Log-MPA) was proposed in [84].…”

Section: ) Sparse Code Multiple Access (Scma)mentioning

confidence: 99%

A Survey of Non-Orthogonal Multiple Access for 5G

Dai

Wang

Ding

et al. 2018

IEEE Commun. Surv. Tutorials

1,099

664

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Abstract-In the 5th generation (5G) of wireless communication systems, hitherto unprecedented requirements are expected to be satisfied. As one of the promising techniques of addressing these challenges, non-orthogonal multiple access (NOMA) has been actively investigated in recent years. In contrast to the family of conventional orthogonal multiple access (OMA) schemes, the key distinguishing feature of NOMA is to support a higher number of users than the number of orthogonal resource slots with the aid of non-orthogonal resource allocation. This may be realized by the sophisticated inter-user interference cancellation at the cost of an increased receiver complexity. In this article, we provide a comprehensive survey of the original birth, the most recent development, and the future research directions of NOMA. Specifically, the basic principle of NOMA will be introduced at first, with the comparison between NOMA and OMA especially from the perspective of information theory. Then, the prominent NOMA schemes are discussed by dividing them into two categories, namely, power-domain and code-domain NOMA. Their design principles and key features will be discussed in detail, and a systematic comparison of these NOMA schemes will be summarized in terms of their spectral efficiency, system performance, receiver complexity, etc. Finally, we will highlight a range of challenging open problems that should be solved for NOMA, along with corresponding opportunities and future research trends to address these challenges.

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Section: ) Sparse Code Multiple Access (Scma)mentioning

confidence: 99%

A Survey of Non-Orthogonal Multiple Access for 5G

Dai

Wang

Ding

et al. 2018

IEEE Commun. Surv. Tutorials

1,099

664

View full text Add to dashboard Cite

show abstract

“…Hence, if the redundancy nodes are pruned within the list, the actual transmit point would likely to enter the final list and thus improve the performance. Sphere decoder for SCMA is also applicable for the low number of projections codewords proposed in [9], see [11] for the detailed discussion. Figure 6 An evaluation of (a) average number of nodes visited in each level of searching tree for 150% overloaded 16-ary SCMA system.…”

Section: Scma Decoder Designmentioning

confidence: 99%

Toward 5G Wireless Interface Technology: Enabling Nonorthogonal Multiple Access in the Sparse Code Domain

Wei

Chen

et al. 2018

IEEE Veh. Technol. Mag.

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The fifth generation wireless networks focus on the design of low latency, high data rate, high reliability, and massive connectivity communications. Non-orthogonal multiple access (NOMA) is an essential enabling technology to accommodate the wide range of communication requirements. By coordinating the massive devices within the same resource block on power domain, frequency domain or code domain, NOMA is superior to conventional orthogonal multiple access in terms of the network connectivity, the throughputs of system and etc. Sparse code multiple access (SCMA) is a kind of multicarrier code domain NOMA and has been studied extensively. The challenges for designing a high quality SCMA system is to seek the feasible encoding and decoding schemes to meet the desired requirements. In this article, we present some recent progresses towards the design of multi-dimensional codebooks, the practical low complexity decoder, as well as the Grant-Free multiple access for SCMA system. In particular, we show how the SCMA codebooks construction are motived by the combined design of multi-dimensional constellation and factor graphs. In addition, various low complexity SCMA decoders are also reviewed with a special focus on sphere decoding. Moreover, based on the framework of belief propagation, the SCMA Grant-Free transmission is introduced and the problem of collision resolution is also discussed.

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“…• Projected M-ary Modulation: In conventional AmBC modulators, M-ary modulation is only implemented by M distinct load impedances increasing form factors of RF devices for higher-order modulations [2], [8], [9]. On the other hand, with sparse coding, M-ary data can be represented by few constellation symbols using codeword projection/expansion method [31], [32]. Thus, M-ary modulation can be realized in AmBC without increasing form factors of RF devices.…”

Section: B Proposed Sparse-coded Ambc (Sc-ambc)mentioning

confidence: 99%

“…As described in the previous section, we design AmBC modulator based on load impedances satisfying the following characteristics: can enable M-ary modulation [31], [32] for these smallform factor IoT devices, which is in sharp contrast to traditional M-ary backscatter modulators with massive number of load impedances (e.g., M-PSK [2], M-QAM [8], [47], [48]). • Interference Exploitation: Detection performance of AmBC is severely degraded by the interferences (i.e., MAI and ISI).…”

Section: Sparse-coded Load Modulationmentioning

confidence: 99%

Novel Sparse-Coded Ambient Backscatter Communication for Massive IoT Connectivity

Kim

2018

Energies

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Low-power ambient backscatter communication (AmBC) relying on radio-frequency (RF) energy harvesting is an energy-efficient solution for batteryless Internet of Things (IoT). However, ambient backscatter signals are severely faded by dyadic backscatter channel (DBC), limiting connectivity in conventional orthogonal time-division-based AmBC (TD-AmBC). In order to support massive connectivity in AmBC, we propose sparse-coded AmBC (SC-AmBC) based on non-orthogonal signaling. Sparse code utilizes inherent sparsity of AmBC where power supplies of RF tags rely on ambient RF energy harvesting. Consequently, sparse-coded backscatter modulation algorithm (SC-BMA) can enable non-orthogonal multiple access (NOMA) as well as M-ary modulation for concurrent backscatter transmissions, providing additional diversity gain. These sparse codewords from multiple tags can be efficiently detected at access point (AP) using iterative message passing algorithm (MPA). To overcome DBC along with intersymbol interference (ISI), we propose dyadic channel estimation algorithm (D-CEA) and dyadic MPA (D-MPA) exploiting weighted-sum of the ISI for information exchange in the factor graph. Simulation results validate the potential of the SC-AmBC in terms of connectivity, detection performance and sum throughput.

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Low Complexity Techniques for SCMA Detection

Cited by 96 publications

References 9 publications

A Survey of Non-Orthogonal Multiple Access for 5G

A Survey of Non-Orthogonal Multiple Access for 5G

Toward 5G Wireless Interface Technology: Enabling Nonorthogonal Multiple Access in the Sparse Code Domain

Novel Sparse-Coded Ambient Backscatter Communication for Massive IoT Connectivity

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