Abstract

The fifth generation (5G) wireless systems are anticipated to meet unprecedented capacity and latency requirements. In order to resolve these challenges in 5G, non-orthogonal multiple access (NOMA) is considered as a promising technique due to its ability to enhance spectrum efficiency and user access. As opposed to conventional orthogonal multiple access (OMA) which relies on orthogonal resource sharing, NOMA has a potential of supporting a higher number of users by multiplexing different users in the same resource in a non-orthogonal manner. With advanced receiver techniques, such as successive interference cancellation (SIC), the intra-user interference can be minimized at the NOMA receiver. To date, there are comprehensive surveys on NOMA, which describe the integration of NOMA with different communication technologies and discuss different NOMA classifications. However, the existing literature is scarce in reviewing state-of-the-art applications of NOMA from the perspective of its application to cellular networks (CNs), device-to-device (D2D) communications, and wireless sensor networks (WSNs). Therefore, the purpose of this survey is to fill this gap in knowledge. Specifically, NOMA with its underlying concepts are elaborated in detail. In addition, detailed system model of different NOMA-based wireless networks is presented. Furthermore, irrespective of the underlying spatial topology of the considered NOMA-based wireless network, general analytical expressions are presented to characterize the network performance. Finally, some challenges related to NOMA design are highlighted and potential research directions are pointed out to address these issues.

Highlights

  • The blistering growth in wireless devices, such as smart phones and tablets, coupled with rapid evolution in mobile Internet technology, have massively transformed the use of traditional analog voice telephony to resource ravenous multimedia applications

  • This completes the discussion of outage probability for Single-cell single-tier (SCST) non-orthogonal multiple access (NOMA) cellular networks (CNs) and we describe the problem of optimal power allocation in subsection

  • The results demonstrate that the considered network achieves better rate and quality of experience (QoE) compared to the conventional orthogonal multiple access (OMA)

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Summary

Introduction

The blistering growth in wireless devices, such as smart phones and tablets, coupled with rapid evolution in mobile Internet technology, have massively transformed the use of traditional analog voice telephony to resource ravenous multimedia applications. The key idea of NOMA is that multiple users simultaneously share the same radio resource i.e., the users access the channel in a non-orthogonal manner This would enhance the spectrum efficiency at the expense of increased receiver complexity, which is ineluctably required to separate users’ messages. Apart from improving spectral efficiency and fairness over conventional OMA, NOMA has a strong potential to improve the cell-edge throughput, requires relaxed channel feedback, and to significantly reduce the overall latency [12] These properties make NOMA a suitable and promising MA candidate to support massive connectivity requirement in 5G systems [13,14]. Standard for digital television (TV) broadcasting is based on the NOMA principle, where multiple data streams are superimposed in a same resource This would result in an enhanced spectral efficiency for the TV broadcasting system [17].

Conclusion
The Principle of Superposition Coding
NOMA in Single-Cell Single-Tier Cellular Networks
NOMA-Based SCST CN System
Outage Probability of NOMA-Based SCST CNs
Sum-Rate Maximization Problem in NOMA-Based SCST CN
NOMA in Single-Cell Multi-Tier Cellular Networks
NOMA-Based SCMT CN System
Outage Probability of NOMA-Based SCMT CN
Sum-Rate Maximization Problem in NOMA-Based SCMT CN
NOMA in Multi-Cell Single-Tier Cellular Network
NOMA-Based MCST CN System
Outage Probability of NOMA-Based MCST CN
Sum-Rate Maximization Problem in NOMA-Based MCST CN
NOMA in Multi-Cell Multi-Tier Cellular Networks
NOMA-Based MCMT CN System
Outage Probability of NOMA-Based MCMT CN
Sum-Rate Maximization Problem in NOMA-Based MCMT CN
NOMA Applied to Device-To-Device Communications
NOMA-Based Group D2D Communications
Outage in NOMA-Based Group D2D Network
Sum-Rate Maximization Problem in NOMA-Based GD2D Networks
NOMA-Based WSNs
Outage in NOMA-Based WSNs
Sum-Rate Maximization Problem in NOMA-Based WSNs
NOMA-Based Data Offloading in 5G Networks
NOMA-Aided Full Duplex Networks
Findings
Conclusions
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