On the Ergodic Capacity of MIMO NOMA Systems

Sun, Qi; Han, Shuangfeng; Chin-Lin, I; Pan, Zhengang

doi:10.1109/lwc.2015.2426709

Cited by 456 publications

(274 citation statements)

References 3 publications

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“…The systematic implementation of MIMO NOMA has been reported in [21,24,34] and demonstrates that the use of MIMO NOMA can outperform conventional MIMO OMA. Both optimal and low-complexity suboptimal power allocation schemes [35] can maximize ergodic capacity with a total transmit power constraint. Ding et al proposed a new design for precoding and detection matrices in a general NOMA downlink scenario with a fixed power allocation scheme for all the participating users [36].…”

Section: Noma With Mimo and Beamformingmentioning

confidence: 99%

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

Islam

Avazov

Dobre

et al. 2017

IEEE Commun. Surv. Tutorials

2,043

1,162

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Abstract-Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for performance enhancement in next-generation cellular communications. Compared to orthogonal frequency division multiple access (OFDMA), which is a well-known high-capacity orthogonal multiple access (OMA) technique, NOMA offers a set of desirable benefits, including greater spectrum efficiency. There are different types of NOMA techniques, including power-domain and code-domain. This paper primarily focuses on power-domain NOMA that utilizes superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver. Various researchers have demonstrated that NOMA can be used effectively to meet both network-level and user-experienced data rate requirements of fifth-generation (5G) technologies. From that perspective, this paper comprehensively surveys the recent progress of NOMA in 5G systems, reviewing the state-of-the-art capacity analysis, power allocation strategies, user fairness, and user-pairing schemes in NOMA. In addition, this paper discusses how NOMA performs when it is integrated with various proven wireless communications techniques, such as cooperative communications, multiple-input multiple-output (MIMO), beamforming, space-time coding, and network coding, among others. Furthermore, this paper discusses several important issues on NOMA implementation and provides some avenues for future research. I. INTRODUCTIONFrom analog phone calls through to all Internet Protocol services, including voice and messaging, each transition has been encouraged by the need to meet the requirements of the new generation of mobile technology. Subsequently, mobile communications technology is presently facing a new challenge, giving birth to a hyper-connected society through the emergence of fifth-generation (5G) services. With enormous potential for both consumers and industry, 5G is expected to roll out by 2020. From the next-generation radio access technology viewpoint, a step change in data speed and a significant reduction in end-to-end latency is a major concern for 5G, since the rapid development of the mobile Internet and the Internet of Things (IoT) exponentially accelerates the demand for high data-rate applications. In particular, many of the industry initiatives that have progressed with work on 5G declare that the network-level data rate in 5G should be 10-20 Gbps (that is, 10-20 times the peak data rate in 4G), and the user-experienced data rate should be 1 Gbps (100 times the user-experienced data rate in 4G). They also set the latency (end-to-end round-trip delay) at 1 millisecond (one-fifth of the latency in 4G).The underlying physical connection in a cellular network is called radio access technology, which is implemented by a radio access network (RAN). A RAN basically utilizes a channel access technique to provide the mobile terminals with a connection to the core network. The design of a suitable multiple access technique is one of the most important aspects in improvi...

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Section: Noma With Mimo and Beamformingmentioning

confidence: 99%

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

Islam

Avazov

Dobre

et al. 2017

IEEE Commun. Surv. Tutorials

2,043

1,162

View full text Add to dashboard Cite

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“…Of course, for downlink transmissions, the BS could use its multiple antennas either for beamforming to improve the signal-to-interference-plus-noise ratio (SINR) [10] or for spatial multiplexing to increase the throughput [11]. We discuss these two options in the following sections.…”

Section: Mimo Noma Transmissionmentioning

confidence: 99%

“…This requires multiple antennas at the users. In [11], the achievable rate is studied for NOMA-SM. In principle, NOMA-SM can be seen as a combination of MIMO and NOMA.…”

Section: B Noma With Spatial Multiplexingmentioning

confidence: 99%

Application of Non-Orthogonal Multiple Access in LTE and 5G Networks

et al. 2017

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As the latest member of the multiple access family, non-orthogonal multiple access (NOMA) has been recently proposed for 3GPP Long Term Evolution (LTE) and envisioned to be an essential component of 5th generation (5G) mobile networks. The key feature of NOMA is to serve multiple users at the same time/frequency/code, but with different power levels, which yields a significant spectral efficiency gain over conventional orthogonal MA. The article provides a systematic treatment of this newly emerging technology, from its combination with multiple-input multiple-output (MIMO) technologies, to cooperative NOMA, as well as the interplay between NOMA and cognitive radio. This article also reviews the state of the art in the standardization activities concerning the implementation of NOMA in LTE and 5G networks.

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“…However, the authors mentioned that the main issues related to OBF-NOMA are transmission power allocation and user-scheduling. In [18], the ergodic capacity of MIMO-NOMA is investigated. The author highlighted how NOMA significantly outperforms time division multiple access (TDMA) in terms of the ergodic capacity.…”

Section: Introductionmentioning

confidence: 99%

“…The provided results show that NOMA is much better than TDMA. However, in both [18] and [19] the presented scenario considered only two users.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

Al-Abbasi

2017

IEEE Trans. Wireless Commun.

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Abstract-Non-orthogonal multiple access (NOMA) has attracted a lot of attention recently due to its superior spectral efficiency and could play a vital role in improving the capacity of future networks. In this paper, a resource allocation scheme is developed for a downlink multi-user NOMA system. An optimization problem is formulated to maximize the sum rate under the total power and proportional rate constraints. Due to the complexity of computing the optimal solution, we develop a low complexity sub-optimal solution for two-user scenario and then extend it to the multi-user case by proposing a user-pairing approach as well as a number of power allocation techniques that facilitate dealing with a large number of users in NOMA system. Simulation results support the effectiveness of the proposed approaches and show the close performance to the optimal one. In addition, we propose a new hybrid multiple access technique that combines the properties of NOMA and the orthogonal frequency division multiple access (OFDMA). Simulation results show that the proposed hybrid method provides better performance than NOMA in terms of the overall achievable sum rate and the coverage probability.

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On the Ergodic Capacity of MIMO NOMA Systems

Cited by 456 publications

References 3 publications

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

Application of Non-Orthogonal Multiple Access in LTE and 5G Networks

Resource Allocation in Non-Orthogonal and Hybrid Multiple Access System With Proportional Rate Constraint

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