On the Sum Rate of MIMO-NOMA and MIMO-OMA Systems

Zeng, Ming; Yadav, Animesh; Dobre, Octavia A.; Tsiropoulos, Georgios I.; Poor, H. Vincent

doi:10.1109/lwc.2017.2712149

Cited by 163 publications

(103 citation statements)

References 10 publications

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“…To achieve a further enhancement of its spectral efficiency, the authors of [14]- [25] invoked a combination of NOMA with MIMO techniques. Particularly, the capacity comparison between MIMO-NOMA and MIMO-OMA has been investigated in [18] [19], and the superiority of MIMO-NOMA over MIMO-OMA in terms of both sum channel capacity and ergodic sum capacity was shown analytically. Furthermore, in [20] [21], the potential gains of MIMO-NOMA were shown based on both link-level as well as on systemlevel simulations and using a NOMA test-bed developed.…”

Section: A Power-domain Nomamentioning

confidence: 99%

“…As a result, the number of the superimposed signals at each chip will be less than the number of active users, which means that the interference imposed on each chip will be efficiently reduced, hence mitigating the multi-user intereference by carefully designing the spreading sequences. Therefore, the received signal at chip n in LDS-CDMA systems can be rewritten as (19) where N (n) denotes the set of users whose sparse spreading sequences have a non-zero element at chip n, namely, N (n) = {k|s n,k = 0}.…”

Section: B Code-domain Nomamentioning

confidence: 99%

See 1 more Smart Citation

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: A Power-domain Nomamentioning

confidence: 99%

Section: B Code-domain Nomamentioning

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

“…In addition, a low complexity of the proposed scheme is linearly proportional to the number of users per cluster. In [39], the performance of downlink MIMO-NOMA network for a simple case of two users, that is, one cluster, is introduced. In this case, MIMO-NOMA provides a better performance than MIMO-OMA in terms of both the sum rate and ergodic sum rate.…”

Section: Mimo-nomamentioning

confidence: 99%

A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond

Aldababsa

Toka

Gökçeli

et al. 2018

Wireless Communications and Mobile Computing

247

168

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Today's wireless networks allocate radio resources to users based on the orthogonal multiple access (OMA) principle. However, as the number of users increases, OMA based approaches may not meet the stringent emerging requirements including very high spectral efficiency, very low latency, and massive device connectivity. Nonorthogonal multiple access (NOMA) principle emerges as a solution to improve the spectral efficiency while allowing some degree of multiple access interference at receivers. In this tutorial style paper, we target providing a unified model for NOMA, including uplink and downlink transmissions, along with the extensions to multiple input multiple output and cooperative communication scenarios. Through numerical examples, we compare the performances of OMA and NOMA networks. Implementation aspects and open issues are also detailed.

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“…In Reference optimal resources are allocated to both NOMA and OMA schemes and show that from the optimization perspective, NOMA outperforms OMA in terms of sum rate and user fairness. In a system of two users, Reference proves that the sum‐rate achieved in multiple‐input‐multiple‐output (MIMO) NOMA is more than achieved in MIMO OMA. A comparison between orthogonal and NOMA, in terms of average sum capacity, in power line communication systems are been studied in Reference …”

Section: Introductionmentioning

confidence: 99%

Adaptive NOMA towards 5G green wireless network

Jain

Gupta

2020

Trans Emerging Tel Tech

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A nonorthogonal multiple access (NOMA) enabled downlink single‐cell communication network with cooperating relay nodes, is considered in this article. NOMA simultaneously transmits signals to a group of users. The formation of the group users, in NOMA, depends on their spatial restrictions. These spatial restrictions are defined by the transmission range of the relay equipment. Therefore, it is important to find the transmission range of the relay. This article presents a novel angle selection scheme for finding the transmission range of the relay. Ever‐increasing cellular traffic needs improvement in data rates and power saving. So, an adaptive NOMA scheme in which the system adaptively chooses its working model is proposed in this article. The adaptive NOMA scheme maximizes the sum rate and optimizes the energy efficiency of the fifth‐generation communication network. It also reduces the power consumption at the circuit of the end‐user equipment, hence, achieving power saving. Comprehensive numerical results emphasize that the proposed scheme achieves higher system energy efficient as compared to the conventional NOMA scheme. Such an adaptive framework also improves the average signal‐to‐interference noise ratio and the fairness factor, as shall be examined. The implications of proposing an adaptive NOMA network are evaluated through simulation results.

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On the Sum Rate of MIMO-NOMA and MIMO-OMA Systems

Cited by 163 publications

References 10 publications

A Survey of Non-Orthogonal Multiple Access for 5G

A Survey of Non-Orthogonal Multiple Access for 5G

A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond

Adaptive NOMA towards 5G green wireless network

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