UAV-Enabled Uplink Non-Orthogonal Multiple Access System: Joint Deployment and Power Control

Lü, Jian; Wang, Yuntian; Liu, Tingting; Zhuang, Zhihong; Zhou, Xiaobo; Shu, Feng; Han, Zhu

doi:10.1109/tvt.2020.3005732

Cited by 31 publications

(16 citation statements)

References 41 publications

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“…used UAV-BSs to provide wireless applications with different concerns: number of served users [3], trajectory optimization [4], power control [5], interference management [6] [7], and frequency utilization [8] [9], etc. However, UAV-BS faces many challenges, especially battery capacity issues.…”

Section: Initial Stagementioning

confidence: 99%

The Outage-Free Replacement Problem in Unmanned Aerial Vehicle Base Stations

Bhola

Lai

Wang

2021

IEEE Trans. Veh. Technol.

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Thanks to the feature of on-demand and flexible deployment, unmanned aerial vehicle base stations (UAV-BS) can enhance coverage and capacity beyond current 5G cellular networks. The main challenge in deploying UAV-BS lies in the fact that the limited battery in UAB-BS cannot support long-time reliable services. Therefore, a serving UAV-BS being running out its power needs to be replaced with a new fully-charged UAV-BS. This is called UAV-BS replacement process. However, most existing UAV-BS replacement methods ignore the link outage problem during the replacement. Thus the outage-free replacement problem (OFRP) for UAV-BSs arises. We provide a method to calculate the outage probability of the UAV replacement approach. We further formulate the Outage Probability Minimization Problem (OPMP) for UAV-BS replacement. To solve this problem, a 3-Dimensional Outage-Free Replacement Approach (3D-OFRA) is presented, which exploits different heights of swapping UAV-BSs during the replacement process. More importantly, we provide the guidelines of determining the distance between two UAV-BSs to minimize the link outage possibility during the UAV-BS replacement process. Our numerical results show that with the recommended distance between two UAV-BSs based on 3D-OFRA, the outage probability of the served UEs approaches to zero, compared with 40% of the traditional direct replacement approach.

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Section: Initial Stagementioning

confidence: 99%

The Outage-Free Replacement Problem in Unmanned Aerial Vehicle Base Stations

Bhola

Lai

Wang

2021

IEEE Trans. Veh. Technol.

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“…Applying NOMA technique to UAV-enabled communication has become a research hotspot, where UAVs are used as flying base stations to provide ubiquitous connections for mobile devices in over-crowded areas. Lu et al [21] investigated the UAV enabled uplink NOMA network to overcome the inherent latency in multi-UAV networks with orthogonal multiple access. They jointly optimized the UAV deployment position and the power control to maximize the sum rate of all users and to meet the QoS requirement.…”

Section: Related Workmentioning

confidence: 99%

Joint Channel Allocation and Power Control for Uplink NOMA‐Assisted Multi‐UAV Networks

Wen

Deng

Liu³

2021

Wireless Communications and Mobile Computing

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The explosive growth of data leads to that the traditional wireless networks cannot enable various quality of service (QoS) communication for cellular-connected multi-UAV (unmanned aerial vehicle) networks. To overcome this obstacle, we solve the joint optimization problem of channel allocation and power control for uplink NOMA-assisted multi-UAV networks. Firstly, we design a mixed integer nonlinear programming framework, where the channel gains are characterized with integral form in time interval and sorted in nondescending order as the priority index of the decoded signal. In order to propose a feasible algorithm, the initial power levels of UAVs are obtained and integrated into the original problem which is reduced to integer programming problem. Then, the UAVs whose channel gain differences satisfy the constraints will be divided into a group to share the same channel, while the initial power levels of UAVs are adjusted to get a more satisfactory initial solution for power control. Combining the solution of channel allocation and the initial power levels, we solve power control problem with asynchronous update mechanism until the power levels of UAVs remain unchanged. Finally, we propose a channel allocation algorithm and a power control algorithm with the asynchronous optimization mechanism, respectively. Simulation results show that the proposed algorithms can effectively improve the network performance in terms of the aggregated rate.

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“…Specifically, by considering a linear topology scenario for ground receivers, the work in [35] optimizes the one-dimensional (1D) UAV trajectory and communication resource allocation to reveal the fundamental rate limits of the UAV-enabled multiple access channel. For a UAV-enabled uplink NOMA network, the joint 2D UAV trajectory and power control problem is proposed in [36] to maximize the sum rate, which is then transformed into a UAV deployment problem. The work in [38] develops an efficient algorithm to solve the max-min average rate problem by optimizing the 2D UAV trajectory and resource allocation for the time division multiple access (TDMA) and NOMA schemes.…”

Section: B Related Work 1) Terrestrial Networkmentioning

confidence: 99%

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

Tang

2020

IEEE Access

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In the paper, we investigate the physical layer security (PLS) of an unmanned aerial vehicle (UAV) enabled communication system that integrates non-orthogonal multiple access (NOMA) with cognitive radio (CR), namely CR-NOMA. Specifically, the secondary UAV transmits confidential information to multiple secondary legitimate receivers with NOMA by sharing the spectrum with the primary networks, while an eavesdropper (Eve) attempts to wiretap the communication. We aim to jointly optimize the three-dimensional (3D) UAV trajectory and power allocation to maximize the worst-case average secrecy sum rate of all secondary receivers (SRs) while keeping the interference to primal receivers (PRs) below a certain threshold. The formulated problem is mixed-binary non-convex and is generally NP-hard. To address this issue, we first equivalently transform the binary variables into continuous ones by introducing tractable inequality constraints. Then, we decompose the optimization problem into two subproblems and develop an efficient iterative algorithm based on the successive convex approximate (SCA) technique, block coordinate descent (BCD) technique, and penalty function method. Numerical results are extensively studied to show that the proposed joint design significantly outperforms the benchmark schemes in terms of secrecy rate. INDEX TERMS UAV communications, physical layer security, NOMA, cognitive radio, 3D trajectory design, power allocation.

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UAV-Enabled Uplink Non-Orthogonal Multiple Access System: Joint Deployment and Power Control

Cited by 31 publications

References 41 publications

The Outage-Free Replacement Problem in Unmanned Aerial Vehicle Base Stations

The Outage-Free Replacement Problem in Unmanned Aerial Vehicle Base Stations

Joint Channel Allocation and Power Control for Uplink NOMA‐Assisted Multi‐UAV Networks

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

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