UAV Communications Based on Non-Orthogonal Multiple Access

Liu, Yuanwei; Qin, Zhijin; Cai, Yunlong; Gao, Yue; Li, Geoffrey Ye; Nallanathan, Arumugam

doi:10.1109/mwc.2018.1800196

Cited by 249 publications

(157 citation statements)

References 15 publications

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“…Since, NOMA is already a popular MA scheme for the 5G networks, combination of UAVs with NOMA, as shown in Fig. 2 (VIII) is in line as a promising candidate for future wireless connectivities [60]. receiving the data at the same time and over the same channel is seen as a candidate approach which is technically termed as FD [61].…”

Section: G Noma With Mecmentioning

confidence: 99%

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

et al. 2020

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Two of the most challenging goals to be achieved in the fifth generation (5G) and beyond communication are massive connectivity and higher capacity. The use of traditional orthogonal multiple access techniques limits the number of users that can be served using the available resources due to orthogonality constraint. Moreover, the available resources may not be utilized effectively by the alloted users thereby resulting in inefficiency and user unfairness. This imposes a severe drawback in cases where the number of users to be served are high, like in the 5G networks. Hence, introducing non-orthogonality to the multiple access scheme is advocated as a supreme methodology to serve multiple users simultaneously, thereby enhancing the connectivity. In scenarios with massive number of users, non-orthogonal multiple access scheme increases the number of active connections by superimposing the signal of multi-users on a same resource block, thereby also utilizing the available resources efficiently.

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Section: G Noma With Mecmentioning

confidence: 99%

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

et al. 2020

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“…Since constraints (17c) and (17d) are only determined by user association u T +1 , the UAV deployment and power efficiency problem (17) with fixed user association u T +1 is expressed as:…”

Section: A Uav Deployment and Power Efficiency With Fixed User Assocmentioning

confidence: 99%

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

Wang

Chen

Yang

et al. 2019

2019 IEEE Global Communications Conference (GLOBECOM)

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In this paper, the problem of optimizing the deployment of unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) capabilities is studied. In the studied model, the UAVs can predict the illumination distribution of a given service area and determine the user association with the UAVs to simultaneously provide communications and illumination. However, ambient illumination increases the interference over VLC links while reducing the illumination threshold of the UAVs.Therefore, it is necessary to consider the illumination distribution of the target area for UAV deployment optimization. This problem is formulated as an optimization problem, which jointly optimizes UAV deployment, user association, and power efficiency while meeting the illumination and communication requirements of users. To solve this problem, an algorithm that combines the machine learning framework of gated recurrent units (GRUs) with convolutional neural networks (CNNs) is proposed. Using GRUs and CNNs, the UAVs can model the long-term historical illumination distribution and predict the future illumination distribution. Based on the prediction of illumination distribution, the optimization problem becomes nonconvex and is then solved using a low-complexity, iterative physical relaxation algorithm.The proposed algorithm can find the optimal UAV deployment and user association to minimize the total transmit power. Simulation results using real data from the Earth observations group (EOG) at NOAA/NCEI show that the proposed approach can achieve up to 64.6% reduction in total transmit power compared to a conventional optimal UAV deployment that does not consider the illumination Y. Wang and T. Luo are with the Beijing 2 distribution and user association. The results also show that UAVs must hover at areas having strong illumination, thus providing useful guidelines on the deployment of VLC-enabled UAVs. Index TermsVisible light communication, unmanned aerial vehicles, drones, machine learning, gated recurrent units, convolutional neural networks, energy efficiency. I. INTRODUCTIONDeploying unmanned aerial vehicles (UAVs) as flying base stations (BSs) for wireless networking is a flexible and cost-effective approach to providing on-demand communications [2]-[6]. However, for tomorrow's ultra dense wireless networks that encompass a large number of ground BSs, UAVs may not have enough radio frequency (RF) resources to service ground users. Moreover, UAVs deployed as aerial BSs using RF will interfere with ground devices, hence significantly affecting the performance of the ground network. In addition, the limited energy will restrict the applicability of UAVs using RF resource to provide high-speed communication services for ground users. These challenges can be addressed by equipping UAVs with visible light communication (VLC) capabilities [7]. Indeed, VLC has recently attracted attention due to its large license-free bandwidth and high energy efficiency. For instance, a VLC system that uses light-emitting diodes (LEDs) to t...

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“…Furthermore, a pair of NOMA assisted caching strategies were proposed to emphasize the wireless caching [10]. To better understand NOMA assisted unmaned aerial vehicle networks, the authors of [11,12] have evaluated the performance in terms of both outage probability and fly trajectory.…”

Section: Introductionmentioning

confidence: 99%

Outage Behaviors of NOMA-Based Satellite Network Over Shadowed-Rician Fading Channels

Yue

Liu

Yao

et al. 2020

IEEE Trans. Veh. Technol.

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This paper investigates the application of nonorthogonal multiple access (NOMA) to satellite communication network over Shadowed-Rician fading channels. The impact of imperfect successive interference cancellation (ipSIC) on NOMAbased satellite network is taken into consideration from the perspective of practical scenarios. We first derive new exact expressions of outage probability for the p-th terrestrial user and provide the corresponding asymptotic analysis results. The diversity order of zero and p are achieved by the p-th terrestrial user with ipSIC and perfect successive interference cancellation (pSIC), respectively. Finally, the presented simulation results show that: 1) On the condition of pSIC, the outage behaviors of NOMA-based satellite network are superior to that of orthogonal multiple access; 2) With the value of residual interference increasing, the outage performance of terrestrial users with ipSIC is becoming worse seriously; and 3) Infrequent light shadowing of Shadowed-Rician fading brings the better outage probability compared to frequent heavy and average shadowing.

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UAV Communications Based on Non-Orthogonal Multiple Access

Cited by 249 publications

References 15 publications

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

Non-orthogonal Multiple Access: An Enabler for Massive Connectivity

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

Outage Behaviors of NOMA-Based Satellite Network Over Shadowed-Rician Fading Channels

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