Non-orthogonal multiple access for mmWave drones with multi-antenna transmission

Rupasinghe, Nadisanka; Yapıcı, Yavuz; Güvenç, İsmail; Kakishima, Yuichi

doi:10.1109/acssc.2017.8335490

Cited by 24 publications

(33 citation statements)

References 10 publications

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“…In this paper, which is a significantly extended version of [24], we develop a rigorous analytical framework to evaluate achievable rate performance for NOMA transmission with different user ordering strategies considering the availability of different channel quality feedback. In particular, we assume a similar scenario as in [4], [13] where a UAV-BS provides broadband coverage over a stadium/concert. Considering multi-antenna and mmWave transmission, UAV-BS generates directional beams and multiple users are served within a beam thanks to NOMA.…”

Section: B Contributionsmentioning

confidence: 99%

“…Since NOMA transmitter allocates power to its users based on their channel qualities, it needs to order users according to their effective channel gains given in (4). This strategy therefore requires users to send appropriate information on their respective channel qualities back to the transmitter.…”

Section: B Limited Feedback Schemes and User Ordering Strategiesmentioning

confidence: 99%

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Angle Feedback for NOMA Transmission in mmWave Drone Networks

Rupasinghe

Yapıcı

Güvenç

et al. 2019

IEEE J. Sel. Top. Signal Process.

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In this paper, we consider an unmanned aerial vehicle (UAV) based wireless network using non-orthogonal multiple access (NOMA) transmission in millimeter-wave frequencies to deliver broadband data in a spectrally efficient fashion at hotspot scenarios. The necessity for the NOMA transmitter to gather information on user channel quality becomes a major drawback in practical deployments. We therefore consider various limited feedback schemes for NOMA transmission, to relieve the complexity of tracking and feeding back the full channel state information (CSI) of the users. In particular, through beamforming we allow NOMA to exploit the space domain, and hence the user angle emerges as a promising (yet novel) limited feedback scheme. We show that as the user region for NOMA transmission gets wider, the users become more distinctive at the transmitter side with respect to their angles, making user angle feedback a better alternative than distance feedback in such scenarios. We rigorously derive and analyze the outage sum rate performance for NOMA transmission considering various user ordering strategies involving full CSI, angle, and distance feedback schemes. Our analytical results for NOMA outage sum rates using those feedback schemes match closely with simulations, and provide useful insights on properly choosing a limited feedback scheme for different deployment geometries and operating configurations.

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Section: B Contributionsmentioning

confidence: 99%

Section: B Limited Feedback Schemes and User Ordering Strategiesmentioning

confidence: 99%

Angle Feedback for NOMA Transmission in mmWave Drone Networks

Rupasinghe

Yapıcı

Güvenç

et al. 2019

IEEE J. Sel. Top. Signal Process.

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“…Use of NOMA techniques to improve SE has been studied extensively in the literature in a broader context. In particular, NOMA with multi-antenna transmission techniques is recently receiving higher attention [3], [4], [6]- [10]. In [6] multipleinput-multiple-output (MIMO) techniques are introduced to NOMA transmission along with user pairing and power allocation strategies to enhance MIMO-NOMA performance over MIMO-OMA.…”

Section: Introductionmentioning

confidence: 99%

“…In that, just for offloading purposes between a UAV and the MSs, NOMA is proposed as one viable solution. In our earlier work [3], [4], NOMA transmission is introduced to UAVs acting as aerial BSs to provide coverage over a stadium or a concert scenario. In particular, leveraging multiantenna techniques a UAV-BS generates directional beams, and multiple users are served within the same beam employing NOMA transmission.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks

Rupasinghe

Yapıcı

Güvenç

et al. 2018

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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Introducing non-orthogonal multiple access (NOMA) transmission to an unmanned aerial vehicle (UAV) based communication network is a promising solution to enhance its spectral efficiency. However, for realistic deployment of such a network, identifying a practical user feedback scheme for NOMA is essential. In this paper, considering two practical feedback schemes we introduce NOMA transmission to UAVs acting as aerial base stations (BS) to provide coverage at a large stadium. In particular, a UAV-BS generates directional beams, and multiple users are served simultaneously within the same beam employing NOMA transmission. Each user is considered to have a target rate based on its quality of service (QoS) requirements. In order to relieve the burden of tracking and feeding back full channel state information, we consider two limited feedback schemes as practical alternatives: 1) user distance, and 2) user angle with respect to beamforming direction under different user region geometries. Our evaluation results show that NOMA with limited feedback can provide better sum rates compared to its orthogonal counterpart. Further, based on the geometry of user region we identify that there is an optimal feedback scheme and user ordering criteria for NOMA transmission which can maximize sum rates.

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“…In [23], the authors considered a UAV-BS to communicate with two ground users using NOMA and investigated their outage probability. In [24], the authors considered a multi-antenna UAV-BS to generate directional beams and served multiple users to maximize their outage sum rates by using NOMA and beam scanning. In [25], the authors employed a UAV system and NOMA to optimize power allocation and UAV altitude to maximize sum-rate for two users [25].…”

mentioning

confidence: 99%

UAV-Enabled Communication Using NOMA

Nasir

Tuan

Duong

et al. 2019

IEEE Trans. Commun.

201

127

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Unmanned aerial vehicles (UAVs) can be deployed as flying base stations (BSs) to leverage the strength of line-of-sight connections and effectively support the coverage and throughput of wireless communication.This paper considers a multiuser communication system, in which a single-antenna UAV-BS serves a large number of ground users by employing non-orthogonal multiple access (NOMA). The max-min rate optimization problem is formulated under total power, total bandwidth, UAV altitude, and antenna beamwdith constraints. The objective of max-min rate optimization is non-convex in all optimization variables, i.e. UAV altitude, transmit antenna beamwidth, power allocation and bandwidth allocation for multiple users. A pathfollowing algorithm is proposed to solve the formulated problem. Next, orthogonal multiple access (OMA) and dirty paper coding (DPC)-based max-min rate optimization problems are formulated and respective pathfollowing algorithms are developed to solve them. Numerical results show that NOMA outperforms OMA and achieves rates similar to those attained by DPC. In addition, a clear rate gain is observed by jointly optimizing all the parameters rather than optimizing a subset of parameters, which confirms the desirability of their joint optimization. Index TermsA. A. Nasir is with the 2 Unmanned aerial vehicle (UAV), non-orthogonal multiple access (NOMA), orthogonal multiple access (OMA), dirty paper coding (DPC), non-convex optimization, throughput. I. INTRODUCTION Unmanned aerial vehicles (UAVs) can assist normal communication networks by acting as flying base stations (UAV-BSs) and taking care of traffic demand in exceptional situations, e.g., sports events, concerts, disaster position, military situations, traffic congestion, etc. [1]-[6]. UAVs can also function as temporary hotspots or relay nodes for connections between the safe area and disaster areas [7]-[9]. Ground users served by the UAV-BSs can expect line-of-sight (LoS) air-to-ground communication. Thus, UAV-enabled communication can be efficient in supporting the coverage and throughput of wireless communications [10], [11]. UAV-enabled communication networks have recently gained significant interests and are actively investigated in open literature. Thanks to the flexibility of UAV deployment, the coverage area, throughput, and energy efficiency of UAV-enabled communication can be improved by UAV placement [12]-[14], beamwidth control [15], [16], and power allocation [1], [17], [18].Unlike conventional cellular communication, which operates in a rich scattering environment that supports multi-antenna array transmission for spatial diversity, UAV-enabled downlink communication exhibits much poorer scattering and as such a single-antenna UAV is most desired. To be served by the same UAV over the same time, multiple users must share the communication bandwidth.Usually each user is assigned an individual bandwidth channel so its achievable rate is very sensitive to the number of users sharing the same bandwidth. Naturally one may think to assig...

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Non-orthogonal multiple access for mmWave drones with multi-antenna transmission

Cited by 24 publications

References 10 publications

Angle Feedback for NOMA Transmission in mmWave Drone Networks

Angle Feedback for NOMA Transmission in mmWave Drone Networks

Comparison of Limited Feedback Schemes for NOMA Transmission in mmWave Drone Networks

UAV-Enabled Communication Using NOMA

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