UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications

Pan, Yijin; Wang, Kezhi; Pan, Cunhua; Zhu, Huiling; Wang, Jiangzhou

doi:10.1109/lwc.2021.3063365

Cited by 156 publications

(103 citation statements)

References 15 publications

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“…In the field of UAV communication, compared with the traditional ground communication station, UAV can be flexibly and quickly deployed in the wireless networks with lower cost and higher networking efficiency. Besides, the coverage capability (e.g., LoS transmission) can be enhanced by increasing the height of UAVs [64,65]. Therefore, the UAV can be regarded as a mobile relay to expand the transmission distance of the 6G wireless networks, which makes up for the shortages of THz communication systems.…”

Section: Irs Empowered Thz Uav Communicationsmentioning

confidence: 99%

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

et al. 2021

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Terahertz (THz) communications have been widely envisioned as a promising enabler to provide adequate bandwidth and achieve ultra-high data rates for sixth generation (6G) wireless networks. In order to mitigate blockage vulnerability caused by serious propagation attenuation and poor diffraction of THz waves, an intelligent reflecting surface (IRS), which manipulates the propagation of incident electromagnetic waves in a programmable manner by adjusting the phase shifts of passive reflecting elements, is proposed to create smart radio environments, improve spectrum efficiency and enhance coverage capability. Firstly, some prospective application scenarios driven by the IRS empowered THz communications are introduced, including wireless mobile communications, secure communications, unmanned aerial vehicle (UAV) scenario, mobile edge computing (MEC) scenario and THz localization scenario. Then, we discuss the enabling technologies employed by the IRS empowered THz system, involving hardware design, channel estimation, capacity optimization, beam control, resource allocation and robustness design. Moreover, the arising challenges and open problems encountered in the future IRS empowered THz communications are also highlighted. Concretely, these emerging problems possibly originate from channel modeling, new material exploration, experimental IRS testbeds and intensive deployment. Ultimately, the combination of THz communications and IRS is capable of accelerating the

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Section: Irs Empowered Thz Uav Communicationsmentioning

confidence: 99%

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

et al. 2021

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“…The air-to-ground (ATG) channels between UAVs and UEs are also dominant by LoS propagation but they are more complex due to the effects of propagation attenuation by shadowing and blockage geometry [30]. As such, the path loss of the link between the m-th RIS-UAV and the (m, k)-th UE can be written as…”

Section: Aerial Ris-assisted Communication Modelsmentioning

confidence: 99%

Aerial Reconfigurable Intelligent Surface-Enabled URLLC UAV Systems

Yin

Do‐Duy

et al. 2021

IEEE Access

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In this paper, we propose an aerial reconfigurable intelligent surface (RIS) system to support the stringent constraints of ultra-reliable low latency communication (URLLC). Specifically, unmanned aerial vehicles (UAVs) employed onboard RIS panels can act as repeaters to reflect the signal from macro base station (MBS) to all users in the networks. To overcome the dense networks' interference, we propose to use zero-forcing beamforming and time division multiplexing access (TDMA) scheme where each UAV can serve a number of users in its own cluster. We formulate a optimisation framework in terms of UAVs' deployment, power allocation at MBS, phase-shift of RIS, and blocklength of URLLC. Due to highly nonconvex and complex optimisation problem, we first consider to use a deep neural network (DNN) to solve the optimal UAVs' deployment. Then, the optimal resource allocation is proposed to provide the maximal reliability of the considered system with respect to the users' fairness. From the representative numerical results, our proposed scheme is shown to superior to other benchmarks which exhibits the positive impact of aerial RIS in supporting stringent demands of URLLC.INDEX TERMS Ultra-reliable low-latency communications (URLLC), Reconfigurable Intelligent Surface (RIS), Unmanned aerial vehicle (UAV).

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“…[47] An UAV-assisted RIS system with TDMA communication network with an efficient algorithm is proposed to improve the system secrecy rate. [48] An UAV-assisted RIS system with Terahertz (THz) communication network to improve the performance of the system.…”

Section: Industrial Viewpoints On Rismentioning

confidence: 99%

“…of the proposed algorithm is also confirmed. To maximize the minimum average achievable rate of all users, the study in [48] presented the joint optimization of UAV's trajectory, the continous phase shift of RIS, the power control, and the allocation of THz sub-bands. An algorithm based on SCA with rate constraint penalty was developed by the authors to determine the UAV trajectory and IRS phase-shift as closed-form expressions.…”

Section: References Main Contributionsmentioning

confidence: 99%

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Munochiveyi

Pogaku

Do³

et al. 2021

IEEE Access

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Reconfigurable intelligent surface (RIS)-aided communication is considered as an exciting research topic in academic and industrial communities since it provides an emerging affordable solution to achieve high quality and secure next-generation wireless systems. Especially, the deployment of RIS in multi-user wireless networks promises to reduce system hardware costs, signal processing complexity, as well as energy consumption due to small size, lightweight and ability to actively shape the wireless propagation environment. Further, by realizing a cost-effective radio environment, RIS-aided communication can be implemented to be an appealing technology for future integration with other emerging wireless applications and communication systems. Despite the positive appeal, RISs face new challenges that hinder integrating efficiently into wireless networks, such as network secrecy performance and system sum-rates, as well as achieving efficient deployment design in highly dynamic and time-varying wireless environments. To this end, we overview recent state-of-the-art techniques to address the above issues faced in the integration of RISs with various emerging multi-user communication techniques, such as Unmanned Aerial Vehicles (UAVs), Non-Orthogonal Multiple Access (NOMA), Millimeter Wave (mmWave) and Terahertz (THz) communications, Physical Layer Security (PLS), massive antennas, and Simultaneous Wireless Information and Power Transfer (SWIPT). Finally, we highlight promising future research directions of RIS-aided communication in Cell-Free Massive Multiple-Input-Multiple-Output (MIMO) systems, Rate-Splitting Multiple Access (RSMA), Light Fidelity (LiFi), and Cognitive Radio (CR) systems.

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UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications

Cited by 156 publications

References 15 publications

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

Aerial Reconfigurable Intelligent Surface-Enabled URLLC UAV Systems

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

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