A Review on 6G Wireless Communication Systems: Localization and Sensing

Sanusi, Jaafaru; Oshiga, Omotayo; Thomas, Sadiq; Idris, Sadiq; Adeshina, Steve A.; Abba, Aminu Muhammad

doi:10.1109/icmeas52683.2021.9692415

Cited by 13 publications

(6 citation statements)

References 18 publications

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“…ISAC technology has potential for improving localization and tracking in next-generation communication systems [67]. Localization has been studied in various ISAC systems (e.g., [68]- [72]), but ML techniques are rarely used.…”

Section: E Data-driven Methods In Isac For Tracking and Localizationmentioning

confidence: 99%

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

Salem,

Quamar,,

Magad

et al. 2023

Preprint

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<p>This paper aims to explore integrating various ML techniques into ISAC systems, covering various applications. These applications span intelligent vehicular networks, encompassing unmanned aerial vehicles (UAVs) and autonomous cars, as well as radar applications, localization and tracking, millimeter wave (mmWave) and Terahertz (THz) communication, and beamforming. The contributions of this paper lie in its comprehensive survey of ML-based works in the ISAC domain and its identification of challenges and future research directions. By synthesizing the existing knowledge and proposing new research avenues, this survey serves as a valuable resource for researchers, practitioners, and stakeholders involved in advancing the capabilities of ISAC systems in the context of 6G networks.</p>

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Section: E Data-driven Methods In Isac For Tracking and Localizationmentioning

confidence: 99%

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

Salem,

Quamar,,

Magad

et al. 2023

Preprint

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“…Furthermore, IRS technology is expected to play a crucial role in enabling other key features of 6G networks, such as localization and sensing capabilities. Sanusi et al [18] highlight the potential of IRS to enhance the accuracy and reliability of localization and sensing systems, enabling a wide range of applications in areas such as autonomous vehicles, smart cities, and emergency response.…”

Section: Integration With Massive Mimo and 6g Networkmentioning

confidence: 99%

Next-Generation Antennas Key Enabler: Intelligent Reflecting Surfaces (IRS) Technology Potential to Address Limitations of Traditional Antennas

Felizardo,

Arboleda

2024

Preprint

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This review explores the potential of Intelligent Reflecting Surfaces (IRS) to address limitations of traditional antennas and empower next-generation wireless networks. IRS technology offers a paradigm shift by passively manipulating radio waves, enhancing signal coverage, network capacity, and energy efficiency. IRS technology utilizes flat surfaces equipped with tiny, adjustable reflectors. Unlike traditional antennas that actively send and receive radio waves, IRS passively manipulates incoming signals by reflecting them in specific directions with controlled adjustments. This approach significantly improves signal coverage and strength, particularly in areas with poor reception. The review reveals the IRS technology offers significant advantages over traditional antennas. It can enhance signal coverage by reflecting radio waves, boost network capacity which allows networks to handle a larger number of users simultaneously, promote lower energy consumption compare, and unlock potential of 6G Networks and beyond. Additionally, IRS enables functionalities such as enhanced localization and ultra-fast data transfer. Integrating IRS with next-generation antennas unlocks new possibilities. This includes reconfigurable antennas that dynamically adjust radiation patterns, compact and low-profile designs, and multi-functional antennas that support various services simultaneously. In conclusion, this paves the way for a new generation of robust and sustainable wireless communication systems.

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“…Note that, in our survey, we are not seeking an analysis of the limits of mmWave localization and sensing technology based on purely theoretical arguments, or an operational description of well-known geometric localization algorithms, or even a coverage of the integration between mmWave communications and 5G, beyond-5G, and future 6G networks. These are related yet tangential topics for which we rather refer the interested reader to one of the several excellent surveys that touch on these aspects, e.g., [18], [19], [22], [28]- [34].…”

Section: A Differences With Respect To Previous Surveysmentioning

confidence: 99%

A Review of Millimeter Wave Device-Based Localization and Device-Free Sensing Technologies and Applications

Shastri

Valecha

Bashirov

et al. 2022

IEEE Commun. Surv. Tutorials

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The commercial availability of low-cost millimeterwave (mmWave) communication and radar devices is starting to improve the adoption of such technologies in consumer markets, paving the way for large-scale and dense deployments in fifthgeneration (5G)-and-beyond as well as 6G networks. At the same time, pervasive mmWave access will enable device localization and device-free sensing with unprecedented accuracy, especially with respect to sub-6 GHz commercial-grade devices.This paper surveys the state of the art in device-based localization and device-free sensing using mmWave communication and radar devices, with a focus on indoor deployments. We overview key concepts about mmWave signal propagation and system design, detailing approaches, algorithms and applications for mmWave localization and sensing. Several dimensions are considered, including the main objectives, techniques, and performance of each work, whether they reached an implementation stage, and which hardware platforms or software tools were used.We analyze theoretical (including signal processing and machine learning), technological, and implementation (hardware and prototyping) aspects, exposing under-performing or missing techniques and items towards enabling a highly effective sensing of human parameters, such as position, movement, activity and vital signs. Among many interesting findings, we observe that device-based localization systems would greatly benefit from commercial-grade hardware that exposes channel state information, as well as from a better integration between standardcompliant mmWave initial access and localization algorithms, especially with multiple access points (APs). Moreover, more advanced algorithms requiring zero-initial knowledge of the environment would greatly help improve the adoption of mmWave simultaneous localization and mapping (SLAM). Machine learning (ML)-based algorithms are gaining momentum, but still require the collection of extensive training datasets, and do not yet generalize to any indoor environment, limiting their applicability. Manuscript received xxxx xx, xxxx . . .

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A Review on 6G Wireless Communication Systems: Localization and Sensing

Cited by 13 publications

References 18 publications

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

Next-Generation Antennas Key Enabler: Intelligent Reflecting Surfaces (IRS) Technology Potential to Address Limitations of Traditional Antennas

A Review of Millimeter Wave Device-Based Localization and Device-Free Sensing Technologies and Applications

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