Intelligent reflecting surface enhanced indoor terahertz communication systems

Ma, Xinying; Chen, Zhi; Chen, Wenjie; Chi, Yaojia; Li, Zhuoxun; Han, Chong; Wen, Qiye

doi:10.1016/j.nancom.2020.100284

Cited by 79 publications

(37 citation statements)

References 38 publications

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“…Finally, it is worth emphasizing that this work does not cover THz macro-scale applications, protocols, nor channel models. Interested readers are directed to several recent papers surveying these topics, e.g., [38]- [42]. In addition, this survey deals with electromagnetic nanocommunication only.…”

Section: Related Workmentioning

confidence: 99%

Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective

Lemić

Abadal

Tavernier

et al. 2021

IEEE J. Select. Areas Commun.

109

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Recent developments in nanotechnology herald nanometer-sized devices expected to bring light to a number of groundbreaking applications. Communication with and among nanodevices will be needed for unlocking the full potential of such applications. As the traditional communication approaches cannot be directly applied in nanocommunication, several alternative paradigms have emerged. Among them, electromagnetic nanocommunication in the terahertz (THz) frequency band is particularly promising, mainly due to the breakthrough of novel materials such as graphene. For this reason, numerous research efforts are nowadays targeting THz band nanocommunication and consequently nanonetworking. As it is expected that these trends will continue in the future, we see it beneficial to summarize the current status in these research domains. In this survey, we therefore aim to provide an overview of the current THz nanocommunication and nanonetworking research. Specifically, we discuss the applications envisioned to be supported by nanonetworks operating in the THz band, together with the requirements that such applications pose on the underlying nanonetworks. Subsequently, we provide an overview of the current contributions on the different layers of the protocol stack, as well as the available channel models and experimentation tools. As the final contribution, we identify a number of open research challenges and outline several potential future research directions.

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Section: Related Workmentioning

confidence: 99%

Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective

Lemić

Abadal

Tavernier

et al. 2021

IEEE J. Select. Areas Commun.

109

View full text Add to dashboard Cite

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“…Performance analysis studies for IRS-assisted communications include [291], [299]- [305]. The corresponding performance limits at high frequencies [105], [306]- [309], however, are still lacking. Most analytical studies consider lowerfrequency scenarios and assume a downlink multi-user system model, in which an IRS is in the LoS of a base station assisting in reaching multiple users, each having a small number of antennas.…”

Section: Reconfigurable Surfacesmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Terahertz Communications

Sarieddeen¹,

Alouini²,

Al-Naffouri³

2020

Preprint

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Terahertz (THz)-band communications are a key enabler for future-generation wireless communication systems that promise to integrate a wide range of data-demanding applications. Recent advancements in photonic, electronic, and plasmonic technologies are closing the gap in THz transceiver design. Consequently, prospect THz signal generation, modulation, and radiation methods are converging, and the corresponding channel model, noise, and hardware-impairment notions are emerging. Such progress paves the way for well-grounded research into THz-specific signal processing techniques for wireless communications. This tutorial overviews these techniques with an emphasis on ultra-massive multiple-input multiple-output (UM-MIMO) systems and reconfigurable intelligent surfaces, which are vital to overcoming the distance problem at very high frequencies. We focus on the classical problems of waveform design and modulation, beamforming and precoding, index modulation, channel estimation, channel coding, and data detection. We also motivate signal processing techniques for THz sensing and localization.

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“…In [28], the reconfigurable reflect-array which has the ability to enhance the strength of received signal and eliminate interference simultaneously, is proposed to increase the spectrum sharing capacity for indoor environments. Recently, the IRS-enhanced multiple-input single-output (MISO) wireless systems are explore to maximize the total received power at the user side by jointly optimizing the active beamforming at the base station (BS) and passive beamforming at the IRS [29]- [31]. However, these research contents consider that the phase shifts of the IRS elements are continuous, and the IRS with continuous phase shift results in high fabrication cost and complex hardware design.…”

Section: Introductionmentioning

confidence: 99%

Joint Channel Estimation and Data Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz MIMO Communication Systems

et al. 2020

Self Cite

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Terahertz (THz) communications recently attract significant attention and become an emerging technology pillar for sixth generation (6G) wireless systems. Due to the serious path attenuation of THz signals, THz communication is applicable for the short-distance indoor scenarios. However, the THz waves are easily blocked by obstacles, leading to a communication interruption. To this end, an intelligent reflecting surface (IRS), which interacts with incident THz waves in a controlled manner by adjusting the discrete phase shifts of the IRS elements, is considered as a promising technology to mitigate blockage vulnerability and enhance coverage capability for indoor scenarios. In light of graphene-enabled hardware structure of an IRS, the IRS-assisted THz multiple-input multiple-output (MIMO) system model is developed. Moreover, an iterative atom pruning based subspace pursuit (IAP-SP) scheme is developed for channel estimation. Compared to the classical subspace pursuit (SP) scheme, the proposed IAP-SP algorithm can substantially reduce the computational complexity while maintaining accurate channel recovery. With the estimated channel, a data rate maximization problem is formulated, which can be converted to a discrete phase shift search problem. The exhaustive search method is firstly proposed to obtain the optimal transmission rate but endure extremely high computational burden. Then, a local search method is proposed to decrease the number of possible discrete phase candidates of IRS while undergoes obvious performance loss. Interestingly, a novel feedforward fully connected structure based deep neural network (DNN) scheme is put forward, which has the ability to learn how to output the optimal phase shift configurations by inputting the features of estimated channel. Simulation results demonstrate that, in contrast with the exhaustive search scheme and the local search scheme, the proposed DNN-based scheme achieves a near-optimal communication rate performance. Meanwhile, the DNN-based scheme enormously alleviates the computational complexity and allows for dynamic parameter adaption in rapid-varying channel conditions. INDEX TERMS Terahertz (THz) communications, sixth generation (6G), intelligent reflecting surface (IRS), channel estimation, deep neural network (DNN).

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Intelligent reflecting surface enhanced indoor terahertz communication systems

Cited by 79 publications

References 38 publications

Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective

Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective

An Overview of Signal Processing Techniques for Terahertz Communications

Joint Channel Estimation and Data Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz MIMO Communication Systems

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