Synergetic UAV-RIS Communication With Highly Directional Transmission

Tyrovolas, Dimitrios; Tegos, Sotiris A.; Diamantoulakis, Panagiotis D.; Karagiannidis, George K.

doi:10.1109/lwc.2021.3136912

Cited by 19 publications

(18 citation statements)

References 14 publications

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“…Thus, the final term E x L D L is also different to ( 18), ( 19), ..., and (20). Particularly, it is formulated as…”

Section: Performance Analysis a Ergodic Capacity Analysismentioning

confidence: 99%

Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Phu,

Nguyen,

Voznak

et al. 2023

IEEE Access

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In this paper, we propose to utilize multiple aerial intelligent reflecting surfaces (AIRSs) for significantly enhancing the ergodic capacity of a non-orthogonal multiple access (NOMA) network. Unlike previous works where only one AIRS was often utilized to support only two NOMA users, Q AIRSs and L users are applied in the proposed NOMA-AIRS network. We mathematically derive the ergodic capacity (EC) expressions at the multiple users of the proposed NOMA-AIRS network over Nakagami-m channels recommended for use in the fifth and beyond generations (5G & B5G) of mobile communications. Numerical results show that the proposed NOMA-AIRS network can deeply exploit the advantages of AIRSs. In particular, by using Q = 4 AIRSs where each AIRS has 20 reflecting elements (REs), the ECs of the proposed NOMA-AIRS network are significantly higher than the ECs of the conventional NOMA network (without AIRSs). Moreover, the ECs of the proposed NOMA-AIRS network can be two times higher than those of the conventional NOMA network in the low transmit power regime. However, if the transmit power is high enough, the benefits of AIRSs are reduced due to the NOMA features. Besides confirming the advantages of AIRSs, the effects of key parameters such as the number of REs and total of REs in the AIRSs, bandwidth, altitudes of AIRSs, and carrier frequency are thoroughly determined. Based on the achieved observations, we give some recommendations to enhance the EC performance of the proposed NOMA-AIRS network in practice scenarios.INDEX TERMS Non-orthogonal multiple access, aerial intelligent reflecting surface, multiuser systems, moment functions, ergodic capacity.

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“…Thus, the final term E x L D L is also different to ( 18), ( 19), ..., and (20). Particularly, it is formulated as…”

Section: Performance Analysis a Ergodic Capacity Analysismentioning

confidence: 99%

Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Phu,

Nguyen,

Voznak

et al. 2023

IEEE Access

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“…The recent work in [117] considered a UAV, equipped with a small beamwidth highly directional antenna, that communicates with a GU through a TRIS. It is assumed that the UAV is directed toward the TRIS, and thus, due to the high directivity of the antenna, no direct link exists between the UAV and the GU.…”

Section: A Terrestrial Ris 1) Uav With Highly Directional Antennamentioning

confidence: 99%

Nonterrestrial Communications Assisted by Reconfigurable Intelligent Surfaces

Qiao

Kammoun

et al. 2022

Proc. IEEE

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| Nonterrestrial communications have emerged as a key enabler for seamless connectivity in the upcoming generation networks. This kind of network can support high data rate communications among aerial platforms (i.e., unmanned aerial vehicles (UAVs), high-altitude platforms (HAPs), and satellites) and cellular networks, achieving anywhere and anytime connections. However, there are many practical implementation limitations, especially overload power consumption, high probability of blockage, and dynamic propagation environment. Fortunately, the recent technology reconfigurable intelligent surface (RIS) is expected to be one of the most cost-efficient solutions to address such issues. RIS with low-cost elements can bypass blockages and create multiple line-of-sight (LoS) links and provide controllable communication channels. In this article, we present a comprehensive literature review on the RIS-assisted nonterrestrial networks (RANTNs). First, the framework of the RANTNs is introduced with detailed discussion about distinct properties of RIS in NTNs and the two Manuscript

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“…The work in [77] studies the effect of phase compensation error on the ergodic capacity for IRS's assisted by UAV communications. The authors in [78], [79] proposed a synergetic UAV-IRS communication system where a UAV is equipped with a highly directional antenna aimed at the IRS. The authors provided a link budget analysis as well as a closed-form expression of the outage probability and the average outage duration.…”

Section: A Classical Optimization Techniques For Irs Deployment In Ua...mentioning

confidence: 99%

IRS-Empowered 6G Networks: Deployment Strategies, Performance Optimization, and Future Research Directions

et al. 2022

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The performance of the envisioned 6G network is fundamentally constrained by the uncontrollable and random wireless communication channel. Intelligent reflecting surfaces (IRSs) have emerged as one of the potential solutions to overcome this challenge by smartly controlling the incident signal to enhance the energy efficiency and spectrum efficiency of the 6G network. In addition, the future 6G network will incorporate several enabling technologies, including artificial intelligence and machine learning (AI/ML), integrated terrestrial and non-terrestrial (TNT) networks, multi-access edge computing (MEC), non-orthogonal multiple access (NOMA), and terahertz/millimeter wave (THz/mmWave) communication techniques. Therefore, this paper provides a contemporary and comprehensive overview of the envisioned IRS-empowered 6G networks from the perspective of its architecture, deployment strategy, integration of IRS technology with other 6G-enabling technologies, and physical layer security (PLS). Finally, we highlight design challenges and future research directions aimed at improving 6G network performance.INDEX TERMS Intelligent reflecting surfaces, Terahertz communication, Terrestrial and non-terrestrial (TNT) networks, Unmanned Aerial Vehicles, Reinforcement learning, Ultra-reliable and Low-latency communications.

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Synergetic UAV-RIS Communication With Highly Directional Transmission

Cited by 19 publications

References 14 publications

Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces

Nonterrestrial Communications Assisted by Reconfigurable Intelligent Surfaces

IRS-Empowered 6G Networks: Deployment Strategies, Performance Optimization, and Future Research Directions

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