Pattern Division Multiple Access—A Novel Nonorthogonal Multiple Access for Fifth-Generation Radio Networks

Chen, Shanzhi; Ren, Bin; Gao, Qiubin; Kang, Shaoli; Sun, Shaojun; Niu, Kai

doi:10.1109/tvt.2016.2596438

Cited by 359 publications

(234 citation statements)

References 17 publications

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“…Therefore, various NOMA techniques have been proposed, which can be classified into codedomain and power-domain NOMA. The code-domain NOMA family is developed from classic CDMA, including interleavedivision multiple access (IDMA), low density spreading aided CDMA (LDS-CDMA), multiuser shared access (MUSA), resource spread multiple access (RSMA), and sparse code multiple access (SCMA), all of which distinguish multiple users with the aid of some generalized "codewords" [1]- [5]. The power-domain NOMA was originally proposed as power division multiple access (PDMA) by assigning different users different power [6].…”

Section: Ieee Wireless Communications 2018mentioning

confidence: 99%

Non-Orthogonal Multiple Access: A Unified Perspective

Wang

Zhang

Yang

et al. 2018

IEEE Wireless Commun.

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Abstract-Non-orthogonal multiple access (NOMA) is a promising technique for future mobile communication systems, which can approach multiuser channel capacity by sharing the same time-frequency resources with multiple users. In this article, we provide a unified framework for NOMA and review the principles of various NOMA schemes in different domains with the objective of creating a unified framework. A systematic performance comparison of different NOMA schemes regarding their peak-to-average power ratio, receiver complexity, latency, grant-free access, user load and peak throughput is also provided for different application scenarios. Relying on our unified framework, we generalize the current understanding of NOMA principle from the conventional code and power domains to the spatial domain as well as to their hybrids and to the networking domain. Finally, the challenges in terms of resource allocation, channel estimation, security, system flexibility and implementation issues are also discussed.

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Section: Ieee Wireless Communications 2018mentioning

confidence: 99%

Non-Orthogonal Multiple Access: A Unified Perspective

Wang

Zhang

Yang

et al. 2018

IEEE Wireless Commun.

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“…In recent years, many NOMA schemes have been devised such as interleave-division multiple access (IDMA) [7], low-density spreading CDMA (LDS-CDMA) [8], pattern-division multiple access (PDMA) [9][10][11][12][13][14], sparsecode multiple access (SCMA) [15][16][17], multiuser sharing access (MUSA) [18][19][20], bit-division multiplexing (BDM) [21], low-density spreading OFDM (LDS-OFDM) [22], resource-spread multiple access (RSMA) [23,24], interleavegrid multiple access (IGMA) [25], multiuser bit-interleaved coded modulation with iterative decoding (MU-BICM-ID) [26], and power domain nonorthogonal multiple access (PD-NOMA) [5,[27][28][29][30][31][32].…”

Section: Related Workmentioning

confidence: 99%

“…(6) B E = B E -1 (7) if P n,b > P max do (8) if B E ̸ = do (9) Assign another channel to reduce (10) required power & meet R min . (11) B E = B E -1 (12) else do (13) Set total assigned power of CE user (14) group to P max .…”

Section: Resource Allocationmentioning

confidence: 99%

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Dynamic Fractional Frequency Reuse Diversity Design for Intercell Interference Mitigation in Nonorthogonal Multiple Access Multicellular Networks

Mehmood

Niaz

Kim

2018

Wireless Communications and Mobile Computing

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Nonorthogonal multiple access (NOMA) is one of the few promising techniques that can ensure the achievement of benefits foreseen in next-generation 5G wireless networks and beyond. By using superposition coding, NOMA allows multiple users to share the same time and frequency resources, thereby enhancing user connectivity, spectral efficiency, and a considerable increase in user throughput. Interference mitigation is an important consideration in NOMA and is considerably more influencing in multicellular environments. First, a brief description of the impairments that can arise in a NOMA cellular network along with responsible factors is provided. Second, different approaches adopted to minimize these impairments are discussed. Finally, a possible solution is proposed that consists of a coordinated approach between the individual cells in the NOMA domain to minimize interferences and improve user throughput. Adaptive fractional frequency reuse (FFR) is used to allocate distinct frequency resources to edge users of different cells to minimize intercell interference in NOMA. Simulation results prove that the proposed NOMA scheme plays an important role in minimizing impairment effects and enhancing the SINR and the throughput performance of edge users while ensuring fairness in its design.

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“…Several NOMA schemes have been proposed for 5G. To allow a large number of users to share the same resource block, spreading codes [10], structured coding matrices [11], [12] and interleavers [13] were used. Many NOMA studies also focused on successive interference cancellation (SIC) and different channel conditions between the users for multiplexing (e.g., SIC requires large power differences between users in the same group) [3].…”

Section: Related Workmentioning

confidence: 99%

Practical Power-Balanced Non-Orthogonal Multiple Access

Pan

Liew

2017

IEEE J. Select. Areas Commun.

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This paper investigates practical 5G strategies for power-balanced non-orthogonal multiple access (NOMA). By allowing multiple users to share the same time and frequency, NOMA can scale up the number of served users and increase spectral efficiency compared with existing orthogonal multiple access (OMA). Conventional NOMA schemes with successive interference cancellation (SIC) do not work well when users with comparable received powers transmit together. To allow power-balanced NOMA (more exactly, near power-balanced NOMA), this paper investigates a new NOMA architecture, named Network-Coded Multiple Access (NCMA). A distinguishing feature of NCMA is the joint use of physical-layer network coding (PNC) and multiuser decoding (MUD) to boost NOMA throughputs. We first show that a simple NCMA architecture in which all users use the same modulation, referred to as rate-homogeneous NCMA, can achieve substantial throughput improvement over SIC-based NOMA under near power-balanced scenarios. Then, we put forth a new NCMA architecture, referred to as rate-diverse NCMA, in which different users may adopt different modulations commensurate with their relative SNRs. A challenge for rate-diverse NCMA is the design of a channel-coded PNC system. This paper is the first attempt to design channelcoded rate-diverse PNC. Experimental results on our software-defined radio prototype show that the throughput of rate-diverse NCMA can outperform the state-of-the-art rate-homogeneous NCMA by 80%. Overall, rate-diverse NCMA is a practical solution for near power-balanced NOMA.

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Pattern Division Multiple Access—A Novel Nonorthogonal Multiple Access for Fifth-Generation Radio Networks

Cited by 359 publications

References 17 publications

Non-Orthogonal Multiple Access: A Unified Perspective

Non-Orthogonal Multiple Access: A Unified Perspective

Dynamic Fractional Frequency Reuse Diversity Design for Intercell Interference Mitigation in Nonorthogonal Multiple Access Multicellular Networks

Practical Power-Balanced Non-Orthogonal Multiple Access

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