Millimeter-Wave MIMO-NOMA-Based Positioning System for Internet-of-Things Applications

Han, Lincong; Liu, Rongke; Wang, Zijie; Yue, Xinwei; Thompson, John

doi:10.1109/jiot.2020.2995916

Cited by 24 publications

(15 citation statements)

References 38 publications

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“…When using the same spectrum for both communication and THz sensing in the same environment, there are inevitable compromises that must be made. For example, in a mmWave system, the position can be estimated based on a pilot signal that is sent together with the data signal [158]. The accuracy of the position measured increases with the number of pilot signals sent, which takes resources from the data signal, decreasing the data rate.…”

Section: B Millimetre-wave and Terahertz Based Industrial Communicationmentioning

confidence: 99%

Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G, and Beyond

Noor-A-Rahim¹,

John²,

Firyaguna³

et al. 2022

Preprint

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Smart manufacturing is a vision and major driver for change in industrial environments. The goal of smart manufacturing is to optimize manufacturing processes through constantly monitoring and adapting processes towards more efficient and personalised manufacturing. This requires and relies on technologies for connected machines incorporating a variety of computation, sensing, actuation, and machine to machine communications modalities. As such, understanding the change towards smart manufacturing requires knowledge of the enabling technologies, their applications in real world scenarios and the communications protocols that they rely on. This paper presents an extensive review of wireless machine to machine communication protocols currently applied in manufacturing environments and provides a comprehensive review of the associated use cases whilst defining their expected impact on the future of smart manufacturing. Based on the review, we point out a number of open challenges and directions for future research.

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Section: B Millimetre-wave and Terahertz Based Industrial Communicationmentioning

confidence: 99%

Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G, and Beyond

Noor-A-Rahim¹,

John²,

Firyaguna³

et al. 2022

Preprint

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“…These advances rejuvenated a new literature research wave on NOMA performance. Some of this works discussed the combination of NOMA with multipleinput, multiple-output (MIMO) technology to enhance the overall system throughput [23]- [27]. In addition, a considerable number of works considered incorporating the NOMA concept into device-to-device (D2D) communication to fully exploit the bandwidth resources and boost the achievable spectral efficiency [28]- [31].…”

Section: A Prior Work and Motivationmentioning

confidence: 99%

EE Optimization for Downlink NOMA-Based Multi-Tier CRANs

Al-Abbasi

Rabie

2021

IEEE Trans. Veh. Technol.

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Non-orthogonal multiple access (NOMA) is increasingly becoming very attractive in cloud radio access networks (CRANs) to further boost the overall spectral efficiency, connectivity and, capacity of such networks. This paper addresses optimizing the energy efficiency (EE) for the downlink of a NOMAbased two tiers CRAN. The stochastic geometry represented by Poisson Point Process (PPP) distribution is used to decide the number and locations of the base stations (BSs) in each tier within the coverage area. A numerical optimal solution is obtained and compared against a proposed subgradient solution, as well as another proposed unoptimized solution based on the false positioning method. For comparison purposes, two other power allocation techniques are presented to allocate different powers to various BS categories; one allocates the power to each BS based on their relative distances to the cloud-based central station and the other is the bisection based scheme. Two simulation scenarios are presented to examine the performance of the two-tier NOMA-CRANs with NOMA is adopted as the multiple access of each tier in both cases. The first scenario considers heterogeneous CRAN (NOMA-HCRAN) case by using two different BS categories in each tier, namely, the macro-BSs and the RRHs. The second scenario considers a homogeneous CRAN (NOMA-CRAN) case by using the RRHs in both tiers but each tier has different frequency layer to prevent cross tier interference. Simulation results show the promising performance gain can be achieved with the proposed techniques relative to the existing approaches. More specifically, it was illustrated that the proposed subgradient based NOMA CRAN offers better performance than the proposed false positioning based NOMA CRAN, which is in turn better than the existing techniques, in particular, the bisection and the distance based NOMA-CRAN.Index Terms-Non-orthogonal multiple access (NOMA), cloud radio access network (CRAN), false positioning method, resource allocation, energy efficiency.

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“…In the method, the inaccuracy is only decreased by one linear weight. [123] propose an innovative mmWave MIMO-NOMA based localization solution that can satisfy the needs of IoT systems. It establishes a NOMA-based localization scheme from a system-level viewpoint, as well as transmission strategy design.…”

Section: Cellular Based Technologymentioning

confidence: 99%

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

Asaad¹,

Maghdid²

2021

Preprint

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<p>The number of connected mobile devices and Internet of Things (IoT) is growing around us, rapidly. Since, most of the people daily activities are relying on these connected things or devices. Specifically, this past year (with COVID-19) changed daily life in abroad and this is increased the use of IoT enabled technologies in health sector, work, and play. Further, the most common service via using these technologies is the localization/positioning service for different applications including: geo-tagging, billing, contact tracing, health-care system, point-of-interest recommendations, social networking, security, and more. Despite the availability of a large number of localization solutions in the literature, the precision of localization cannot meet the needs of consumers. For that reason, this paper provides an in-depth investigation of the existing technologies and techniques in the localization field, within the IoT era. Furthermore, the benefits and drawbacks of each technique with enabled technologies are illustrated and a comparison between the utilized technologies in the localization is made. The paper as a guideline is also going through all of the metrics that may be used to assess the localization solutions. Finally, the state-of-the-art solutions are examined, with challenges and perspectives regarding indoors/outdoors environments are demonstrated.</p>

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Millimeter-Wave MIMO-NOMA-Based Positioning System for Internet-of-Things Applications

Cited by 24 publications

References 38 publications

Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G, and Beyond

Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G, and Beyond

EE Optimization for Downlink NOMA-Based Multi-Tier CRANs

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

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