Body-Centric Terahertz Networks: Prospects and Challenges

Saeed, Nasir; Loukil, Mohamed Habib; Sarieddeen, Hadi; Al-Naffouri, Tareq Y.; Alouini, Mohamed‐Slim

doi:10.1109/tmbmc.2021.3135198

Cited by 23 publications

(8 citation statements)

References 237 publications

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“…We propose an end-to-end communication architecture to integrate the intra-body molecular and THz communication schemes with the BAN and extra-body IoT backhaul communication networks, for the purpose of efficiently, timely and reliable fertility monitoring. Both molecular and THz communications are safe for the transmission within human body and no hazardous effect has been shown in the previous studies [10]. Since the system is based on collecting information directly from the Fallopian tubes, the delay of presently existing ultrasound and diagnostic testing solutions shall significantly reduce.…”

Section: Proposed Architecturementioning

confidence: 94%

A Nano-Architecture for Fertility Monitoring via Intra-body Communication

Siddiqui¹,

Khan²,

Abbasi³

et al. 2022

Preprint

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Fertility monitoring in humans for either natural conception or artificial insemination and fertilization has been a critical challenge both for the treating physician and the treated patients. Eggs in human female can be fertilized when they reach the Fallopian tube from the upper parts of the reproductive system. However, no technology, till date, on its own could detect the presence of eggs in the Fallopian tube and communicate their presence to the consulting physician or nurse and the patient, so that the next step can be initiated in a timely fashion. In this paper, we propose a conceptual architecture from a communications engineering point of view. The architecture combines intra-body nano-sensor network for detecting Fallopian tube activity, with body-area network for receiving information from the intra-body network and communicating the same over-the-air to the involved personnel (physician/nurse/patient). Preliminary simulations have been conducted using particle based stochastic simulator to investigate the relationship between achievable information rates, signal to noise ratio (SNR) and distance. It has been found that data rate as high as 300 Mbps is achievable at SNR 45. Hence, the proposed architecture ensures transfer of information with near-zero latency and minimum energy along with high throughput, so that necessary action can be taken within the short time-window of the Fallopian tube activity.

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Section: Proposed Architecturementioning

confidence: 94%

A Nano-Architecture for Fertility Monitoring via Intra-body Communication

Siddiqui¹,

Khan²,

Abbasi³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…Channel estimation and measurement techniques were covered in [5], [7], [23], [27]- [32]. Coding and modulation related aspects were discussed in [5], [9], [11], [16], [17], [19], [20], [22], [25], [29], [33]- [39]. Beamforming techniques were covered in and techniques, such as interference management, load balancing, handoff optimization, network planning, and resource allocation.…”

Section: A Existing Surveys and Tutorialsmentioning

confidence: 99%

Multi-Band Wireless Communication Networks: Fundamentals, Challenges, and Resource Allocation

Aboagye,

Amin Saeidi,

Tabassum

et al. 2024

IEEE Trans. Commun.

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The sub-6 GHz spectrum and the millimeter wave frequency band, with its huge spectrum, have been exploited in the past years to meet the traffic demands of wireless communication networks. However, the limited and licensed spectrum of these bands cannot support the massive connectivity requirements, the exponential growth of data traffic, and the strict quality-of-service requirements for 6G and beyond wireless systems. Extremely high frequencies, such as optical and terahertz, which offer much wider transmission bandwidths with extreme data rate capabilities, are expected to play key roles in the 6G and beyond era. As a result, futuregeneration wireless networks will transition from single-band and heterogeneous networks to multi-band networks (MBNs), where various frequency bands coexist. Despite the great potential of MBNs, they face novel challenges from channel modeling, transceiver and antenna design, programmable simulation platforms, standardization activities, and resource allocation. This paper provides a tutorial overview from the communication design perspective of the various frequency bands, elaborating on the above issues. Then, we introduce and examine typical MBN architectures for future networks and provide a detailed overview of state-of-the-art resource allocation problems for existing MBNs that typically operate on two frequency bands. The considered resource allocation optimization problems and solution techniques are discussed comprehensively. We then identify key performance metrics and constraint sets that should be considered for resource allocation optimization in future MBNs and provide numerical results to depict how various system parameters and user behaviors can influence their performance. Finally, we present several potential research issues as future work for the design and performance optimization of MBNs.

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“…Several contemporary approaches to joint vehicular communication and sensing are explored, such as time-domain duplex (TDD), telecom messages over radar transmissions (ToR), and radar sensing over telecom transmissions (RoT) [40]. Moreover, joint THz communications and sensing applications are particularly useful in body-centric systems where THz-TDS can be used to sense infections and mitigate virus outbreaks [41].…”

Section: A Joint Thz Communications and Sensing Applicationsmentioning

confidence: 99%

Signal Processing and Machine Learning Techniques for Terahertz Sensing: An overview

Helal

Sarieddeen

Dahrouj

et al. 2022

IEEE Signal Process. Mag.

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Following the recent progress in Terahertz (THz) signal generation and radiation methods, joint THz communications and sensing applications are being proposed for future wireless systems. Towards this end, THz spectroscopy is expected to be carried over user equipment devices to identify material and gaseous components of interest. THz-specific signal processing techniques should complement this re-surged interest in THz sensing for efficient utilization of the THz band. In this paper, we present an overview of these techniques, with an emphasis on signal pre-processing (standard normal variate normalization, min-max normalization, and Savitzky-Golay filtering), feature extraction (principal component analysis, partial least squares, t-distributed stochastic neighbor embedding, and nonnegative matrix factorization), and classification techniques (support vector machines, k-nearest neighbor, discriminant analysis, and naive Bayes). We also address the effectiveness of deep learning techniques by exploring their promising sensing and localization capabilities at the THz band. Lastly, we investigate the performance and complexity trade-offs of the studied methods in the context of joint communications and sensing (JCAS). We thereby motivate the corresponding use-cases, and present a handful of contextual future research directions.

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Body-Centric Terahertz Networks: Prospects and Challenges

Cited by 23 publications

References 237 publications

A Nano-Architecture for Fertility Monitoring via Intra-body Communication

A Nano-Architecture for Fertility Monitoring via Intra-body Communication

Multi-Band Wireless Communication Networks: Fundamentals, Challenges, and Resource Allocation

Signal Processing and Machine Learning Techniques for Terahertz Sensing: An overview

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