Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks

Khan, Wali Ullah; Jameel, Furqan; Ristaniemi, Tapani; Khan, Shafiullah; Sidhu, Guftaar Ahmad Sardar; Liu, Ju

doi:10.1109/tccn.2019.2945802

Cited by 106 publications

(65 citation statements)

References 41 publications

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“…is the SINR of V j , and ρ j in (2) denotes the binary variable for vehicle selection such as ρ j = 1, if V j is selected for communication and ρ j = 0, otherwise. To make the SIC process successful at RSU, the transmit power of all mobile vehicles must satisfy the minimum required gap as [31]:…”

Section: A System Modelmentioning

confidence: 99%

Multiobjective Optimization of Uplink NOMA-Enabled Vehicle-to-Infrastructure Communication

et al. 2020

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Vehicular communication is gradually evolving from the rudimentary data exchange techniques to innovative, efficient, and large-scale communication platform. The future vehicular networks aim to offer new services and achieve massive connectivity with the aid of advanced wireless communication techniques. In this regard, one of the emerging paradigms is non-orthogonal multiple access (NOMA) which holds the promise to meet the resource-intensive demands of future networks. Due to this reason, the applications of NOMA are being investigated by the researcher of academia and industry alike. This article aims to build on the state-of-the-art by providing a novel multiobjective optimization framework for vehicle-to-infrastructure (V2I) communications. Specifically, this work aims to improve upon the sum-rate and energy efficiency of uplink NOMA-enabled V2I communications. The formulated problem is based on the tradeoff between sum-rate and total transmit power while maintaining the quality of service (QoS) requirements of the network. To provide a reliable solution, a multiobjective optimization framework has been proposed by applying the weighted-sum method and handle joint metrics of sum-rate maximization and total transmit power minimization. Extensive simulations have been performed to validate the superiority of the proposed framework against conventional benchmark techniques. The results clearly indicate that the proposed framework is feasible for NOMA-enabled V2I communication and can be scaled up for practical implementation. INDEX TERMS Non-orthogonal multiple access, multiobjective optimization, QoS, vehicular communication.

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Section: A System Modelmentioning

confidence: 99%

Multiobjective Optimization of Uplink NOMA-Enabled Vehicle-to-Infrastructure Communication

et al. 2020

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“…Due to the simultaneous access of massive MTC equipment, it is appropriate to enable nonorthogonal multiple access (NOMA) for mMTC, which utilizes power-domain user multiplexing by configuring more power to weak users with low channel gain and less power to strong users with high channel gain [96], [97]. However, transmission power over unlicensed spectrum is limited due to the requirements of ETSI.…”

Section: ) Access Managementmentioning

confidence: 99%

Resource Management in LTE-U Systems: Past, Present, and Future

Chen

et al. 2020

IEEE Open J. Veh. Technol.

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With the tremendous growth in mobile data traffic, wireless cellular networks are facing a rigorous challenge to increase network capacity. Despite that many advanced technologies are used, the shortage of spectrum resource is still the main bottleneck for capacity enhancement. To address the challenge, the cellular networks have been motivated to seek for more fruitful radio spectra. Amongst many others, the unlicensed 5 GHz spectrum is a promising candidate due to its low channel attenuation, large available bandwidth, and easy to utilize. Therefore, the innovative technology of long-term evolution (LTE) using the unlicensed spectrum, known as LTE-Unlicensed (LTE-U), has been widely investigated as a promising means to increase the data rate of cellular networks. The unique characteristics of the unlicensed spectrum bring new challenges to resource management in the LTE-U system. During the last few years, there have been a lot of resource management designs for the newly-born but vigorous LTE-U technologies. This paper provides a comprehensive overview of the state-of-the-art resource management scenarios in LTE-U systems, including single small cell base station (SBS), multiple SBSs, device-to-device (D2D) networks, vehicular networks, and unmanned aerial vehicle (UAV) systems. The future research issues of resource management in LTE-U for 5G are also outlined.

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“…Numerical results reveal that the proposed algorithm is capable of improving energy efficiency over the existing schemes. The problem of joint spectral and energy efficiency is investigated by the authors in [131] for NOMA-based SCMT CN. The results demonstrate that the proposed scheme achieve superior performance in terms of spectral and energy efficiency over conventional NOMA and OMA.…”

Section: Noma In Single-cell Multi-tier Cellular Networkmentioning

confidence: 99%

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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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.

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Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks

Abstract: This is a self-archived version of an original article. This version may differ from the original in pagination and typographic details.

Cited by 106 publications

References 41 publications

Multiobjective Optimization of Uplink NOMA-Enabled Vehicle-to-Infrastructure Communication

Multiobjective Optimization of Uplink NOMA-Enabled Vehicle-to-Infrastructure Communication

Resource Management in LTE-U Systems: Past, Present, and Future

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

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