Fine-Grained Analysis of Reconfigurable Intelligent Surface-Assisted mmWave Networks

Yang, Le; Li, Xiao; Jin, Shi; Matthaiou, Michail; Zheng, Fu-Chun

doi:10.1109/tcomm.2022.3194134

Cited by 16 publications

(7 citation statements)

References 37 publications

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“…Notably, since AIRS is deployed to support S-D communications, it will fly at the convenient positions to have the LoS components between S and AIRS and AIRS and D. In other words, the S-AIRS and AIRS-D channels are often characterized by LoS components. 23 In the meanwhile, the S-D and S-E channels are often characterized by the NLoS components due to the properties of D and E. 29 For the above reasons, the S-AIRS and AIRS-D channels are modeled by LoS components while the S-D and S-E channels are modeled by NLoS components. Importantly, with the channel models recommended to use in 5G & B5G standards, the average channel gains with LoS (Δ LoS χ ) and NLoS Δ NLoS χ are, respectively, expressed as 28…”

Section: System Modelmentioning

confidence: 99%

Aerial intelligent reflecting surface for improving the secrecy performance of wireless systems with hardware impairments

Van Vinh

2024

Int J Communication

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SummaryIt has been confirmed that the aerial intelligent reflecting surface (AIRS) can dramatically improve the coverage and quality of service of wireless communication systems. This paper proposes to exploit an AIRS to enhance the physical layer security (PLS) of wireless communication systems. In particular, the AIRS flies at convenient positions for enhancing legitimate channel gain and reducing eavesdropping channel gain. Moreover, the worst‐case security is determined where the legitimate user is affected by hardware impairments (HIs) while the eavesdropper hardware is ideal (ID). The analytical expression of secrecy outage probability (SOP) of the considered systems (referred to as the AIRS‐HI systems) is derived over realistic Nakagami‐ channels recommended for application in the fifth and beyond generations (5G & B5G). To clarify the behaviors of the considered systems, the asymptotic expressions of signal‐to‐distortion‐plus‐noise ratio (SDNR) at the legitimate user, signal‐to‐noise ratio (SNR) at the eavesdropper, and SOP are also provided. Monte‐Carlo simulations are employed to confirm the accuracy of the derived theorem. Numerical results confirm that the SOP of the AIRS‐HI systems is dramatically higher than the SOP of the AIRS‐ID systems. In other words, a strong effect of HIs on the SOP of the AIRS‐HI systems is clearly indicated. Consequently, utilizing the high transmit power is not an effective solution to improve the secrecy performance of the AIRS‐HI systems. In contrast, it is essential to employ an appropriate transmit power tailored to the specific system parameters. Furthermore, the considerable advantages of incorporating AIRS are demonstrated through a comparison between the SOPs of AIRS‐HI systems and HI systems lacking AIRS. Additionally, a comprehensive examination of AIRS‐HI system behaviors is conducted by varying various system parameters, including the predefined secrecy rate, HI level, the number of reflecting elements (REs) in AIRS, WiFi network frequency, AIRS altitude, bandwidth, and channel fading order. These observations lead to the identification of numerous recommended solutions for enhancing the SOP performance of the considered AIRS‐HI systems.

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Section: System Modelmentioning

confidence: 99%

Aerial intelligent reflecting surface for improving the secrecy performance of wireless systems with hardware impairments

Van Vinh

2024

Int J Communication

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“…Notice that to make our results practically, the realistic Nakagami-m channels are utilized in this paper. In particular, the S-AIRSs and AIRSs-user channels are characterized by the LoS components due to the flexible movements of AIRSs [41], [42]. In the meanwhile, the S-user channels are characterized by non-light-of-sight (NLoS) components due to the blocking objects between S and users [42].…”

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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“…To satisfy the proliferating demands of next generation wireless applications, such as multisensory extended reality (XR) [1]- [3], connected robots [4]- [6], wireless brain computer interactions [7], digital twins [8], industrial internet-ofthings (IoT) [9], tactile IoT [10]- [12], internet of underwater things [13], [14], self-driving ground and air vehicles [15]- [17], and others, while dealing with the spectrum scarcity of the radio and microwave bands [18]- [21], the research, innovation and industrial communities turned its attention to communications in the millimeter wave (mmWave) [22]- [26], terahertz (THz) [27]- [30], and optical bands [31]- [35]. Despite the unprecedented bandwidth that high-frequency systems offer, in order to achieve the promised performance excellence in terms of throughput, latency, and reliability, in acceptable transmission distances, both the transmitter (TX) and the receiver (RX) require knowledge of each others relative position and orientation [36]- [40].…”

Section: Introductionmentioning

confidence: 99%

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

Trevlakis¹,

Boulogeorgos²,

Pliatsios³

et al. 2023

Preprint

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<p>When fully implemented, sixth generation (6G) wireless systems will constitute intelligent wireless networks that enable not only ubiquitous communication but also high-accuracy localization services. They will be the driving force behind this transformation by introducing a new set of characteristics and service capabilities in which location will coexist with communication while sharing available resources. To that purpose, this survey investigates the envisioned applications and use cases of localization in future 6G wireless systems, while analyzing the impact of the major technology enablers. Afterwards, system models for millimeter wave, terahertz and visible light positioning that take into account both line-of-sight (LOS) and non-LOS channels are presented, while localization key performance indicators are revisited alongside mathematical definitions. Moreover, a detailed review of the state of the art conventional and learningbased localization techniques is conducted. Furthermore, the localization problem is formulated, the wireless system design is considered and the optimization of both is investigated. Finally, insights that arise from the presented analysis are summarized and used to highlight the most important future directions for localization in 6G wireless systems.</p>

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Fine-Grained Analysis of Reconfigurable Intelligent Surface-Assisted mmWave Networks

Cited by 16 publications

References 37 publications

Aerial intelligent reflecting surface for improving the secrecy performance of wireless systems with hardware impairments

Aerial intelligent reflecting surface for improving the secrecy performance of wireless systems with hardware impairments

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

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

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