Risk-Based Optimization of Virtual Reality over Terahertz Reconfigurable Intelligent Surfaces

Chaccour, Christina; Soorki, Mehdi Naderi; Saad, Walid; Bennis, Mehdi; Popovski, Petar

doi:10.1109/icc40277.2020.9149411

Cited by 81 publications

(56 citation statements)

References 16 publications

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“…Along with these mainstream research directions, the role of IRS is studied in the following topics: sensing and localization [83,84], IRS-aided THz communications [85,86], wireless power transfer [87,88], physical layer security [89,90], mobile edge computing [91,92], unmanned aerial vehicle communications [93,94].…”

Section: Prospective Use Casesmentioning

confidence: 99%

Signal Processing Aspects of Massive MIMO and IRS-Aided Communications

Özdogan

2022

Linköping Studies in Science and Technology. Dissertations

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The data traffic in cellular networks has grown at an exponential pace for decades. This trend will most probably continue in the future, driven by new innovative applications. One of the key enablers of future cellular networks is the massive MIMO technology, and it has been started to be commercially deployed in many countries. A massive MIMO base station is equipped with a massive number (e.g., a hundred) of individually steerable antennas, which can be effectively used to serve tens of user equipments simultaneously on the same time-frequency resource. It can provide a notable enhancement of both spectral efficiency and energy efficiency in comparison with conventional MIMO.In the prior literature, the achievable spectral efficiencies of massive MIMO systems with a practical number of antennas have been rigorously characterized and optimized when the channels are subject to either spatially uncorrelated or correlated Rayleigh fading. Typically, in massive MIMO research, i.i.d. Rayleigh fading or less frequently free-space line-of-sight (LoS) channel models are assumed since they simplify the analysis. Massive MIMO technology is able to support both rich scattering and LoS scenarios. Practical channels can consist of a combination of an LoS path and a correlated small-scale fading component caused by a finite number of scattering clusters that can be modeled by spatially correlated Rician fading. In Paper A, we consider a multi-cell scenario with spatially correlated Rician fading channels and derive closed-form achievable spectral efficiency expressions for different signal processing techniques.Alternatively, a massive number of antennas can be spread over a large geographical area and this concept is called cell-free massive MIMO. In the canonical form of cell-free massive MIMO, the access points cooperate via a fronthaul network to spatially multiplex the users on the same time-frequency resource using network MIMO methods that only require locally obtained channel state information. Cellfree massive MIMO is a densely deployed system. Hence, the probability of having an LoS path between some access points and the users is quite high. In Paper B, we consider a practical scenario where the channels between the access points and the users are modeled with Rician fading.First and foremost, I would like to express my innermost gratitude to my supervisor, Prof. Emil Björnson, for his excellent supervision. Thank you for your support, patience, encouragement, commitment, constructive feedback, inspiring ideas, and many more. I feel fortunate to have had the opportunity to learn from you. Likewise, I would like to thank my co-supervisor, Prof. Erik G. Larsson, for his expert advice, insightful comments, and suggestions.To my colleagues at the Division of Communication Systems at Linköping University, I feel very lucky to have spent my Ph.D. period in an environment so full of expertise, collegiality, and warmth. I wish to express my warmest thanks to my friends who have made my time in Sweden more delightful with ...

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Section: Prospective Use Casesmentioning

confidence: 99%

Signal Processing Aspects of Massive MIMO and IRS-Aided Communications

Özdogan

2022

Linköping Studies in Science and Technology. Dissertations

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“…This can be achieved by introducing required phase shifts of the discrete elements in the RIS. In addition, a suf iciently large RIS supporting the aforementioned features can be acquired within miniature footprints at high frequencies, such as the THz band [22,70,71]. RISs have already been considered for improving the coverage performance of THz indoor communications at the sea level, as in [72], where the authors have proposed a suboptimal search scheme for the RIS phase shifts.…”

Section: Recon Igurable Intelligent Surfacesmentioning

confidence: 99%

Terahertz band communications as a new frontier for drone networks

Saeed¹,

Gürbüz²,

Akkaş³

et al. 2021

ITU-J FET

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Terahertz band (0.1-10 THz) communications is one of the candidates for 6G systems due to intrinsic massive bandwidth and data rate support. Having demonstrated the significant potential of THz band at various atmospheric altitudes, in this article, we discuss the prospects of THz communications for drone networks, more specifically, for Drone Sensor Networks (DSNs). For 6G non-terrestrial communication scenarios, drones will not only serve as on-demand base-stations, as supporting alternatives or backhauls for the terrestrial base stations, but they will also provide seamless connectivity for distributed monitoring and surveillance applications, which require an ultra-reliable low latency service for carrying multimedia data. THz band sensing will also provide additional sensing capabilities from the sky to THz-enabled DSNs. Presenting this vision, in this paper, we first discuss possible use cases of THz-enabled drone networks considering communication, sensing and localization aspects. Then, for revealing the capacity potential of THz-enabled drone networks, we provide motivating channel capacity results for communication of drones at different altitudes, under ideal channel conditions with no fading and realistic channel with beam misalignment and multipath fading. We further present major challenges pertaining to employing the THz band for DSNs, addressing physical layer issues, followed with spectrum and interference management, medium access control and higher layers and security, while reviewing some prominent solutions. Finally, we highlight future research directions with Artificial Intelligence (AI)/Machine Learning (ML)-based approaches and mobile edge computing.

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“…The concept of a reconfigurable intelligent surface (RIS) is rapidly emerging topic to support the demand for upcoming Internet of Things (IoT) services without using additional radio resources [1][2][3][4][5][6][7][8][9][10][11][12]. Given that future man-made structures, such as buildings and walls, are expected to be electromagnetically active, these structures can be exploited to provide wireless connectivity to future 6G services [13,14], via the emerging concept of a RIS.…”

Section: Introductionmentioning

confidence: 99%

Meta-Learning for 6G Communication Networks with Reconfigurable Intelligent Surfaces

Jung

Saad

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Channel acquisition is one of the main challenges in a reconfigurable intelligent surface (RIS) system due to the passive nature of an RIS. In order to accurately estimate RIS channels, a large number of pilot symbols are required, which could yield a severe performance degradation in terms of the spectral efficiency (SE). In this paper, a practical channel acquisition and passive beamforming technique is proposed using a limited number of pilot symbols in an RIS-assisted cellular network. In particular, the proposed technique relies on a meta-learning framework. To address practical RIS challenges, the problem of maximizing the instantaneous SE is formulated and a novel approach to solve this optimization problem is developed. The proposed algorithm enables an RIS to select the optimal phase shift matrix without the need for perfect channel state information. Also, the trained parameter resulting from the proposed meta-learning algorithm can be guaranteed to converge to an optimal solution. Simulation results show a comparable performance to an exhaustive search method with a few training symbols which validates the advantages of meta-learning for an RIS system.

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Risk-Based Optimization of Virtual Reality over Terahertz Reconfigurable Intelligent Surfaces

Cited by 81 publications

References 16 publications

Signal Processing Aspects of Massive MIMO and IRS-Aided Communications

Signal Processing Aspects of Massive MIMO and IRS-Aided Communications

Terahertz band communications as a new frontier for drone networks

Meta-Learning for 6G Communication Networks with Reconfigurable Intelligent Surfaces

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