A millimeter wave network for billions of things

Mazaheri, Mohammad Hossein; Ameli, Soroush; Abedi, Ali; Abari, Omid

doi:10.1145/3341302.3342068

Cited by 30 publications

(9 citation statements)

References 29 publications

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“…In the future, intelligent services can be gained with the help of edge devices and AI-enabled platforms over the fixed or mobile access network (Theodoridis, 2015). The mm-wave frequencies will become a common factor for 5G and the next-generation internet of things (NG-IoT) will do some form of convergence (Mazaheri et al, 2019).…”

Section: Big Data Analyticsmentioning

confidence: 99%

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

al.¹

2022

Int. j. adv. appl. sci.

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Telemedicine is a combination of networking technologies and clinical data. The implementation of telemedicine has enhanced the regional distribution of resources, decreased the workforce of personnel, and shortened the space between healthcare staff and patients. Typically, the specialist doctors are settled and offer their services only in large urban areas. It is pertinent to reduce the imbalance of medical resources between urban and rural areas. The advent of telemedicine has the potential to address this issue. However, current telemedicine has its limitations in terms of data transfer and thus struggles to offer low latency in real-time applications. The recent developments in communication systems offer 5G and above connectivity. This study aims to analyze and synthesize the role of telecommunication networks for potential developments in the field of telemedicine. To this end, a systematic literature review has been conducted to address well-defined research questions. These questions aim to understand the working, flow, scope, and framework of the research area. This review provides an overview of telemedicine, the 5G-based telemedicine framework, and its comparison with the current system. It also discusses how the fast communication network (i.e., 5G and beyond 5G) with devices operating at low latency can revolutionize the healthcare system. Furthermore, a framework for future telemedicine has been provided along with potential application domains. Lastly, challenges and future directions beyond 5G have also been presented.

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Section: Big Data Analyticsmentioning

confidence: 99%

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

al.¹

2022

Int. j. adv. appl. sci.

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“…To demonstrate the 3D beamforming capability, we fabricate a 4x4 metasurface whose unit-cells are separately controlled. 8 Related Works mmWave communication is considered to be the future of mobile communications, on which extensive research has been conducted [16,27,33,38,54]. However, mmWave communication suffers from high attenuation, such that antenna arrays for effective beamforming are necessary [20,32,35,36,39,50,53].…”

Section: Extension To 3d Beamformingmentioning

confidence: 99%

Channel Estimation for Reconfigurable Intelligent Surface-Aided mmWave Communications

Kim

Shim

2022

GLOBECOM 2022 - 2022 IEEE Global Communications Conference

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Metasurface has recently emerged as an economic solution to expand mmWave coverage. However, their pervasive deployment remains a challenge, mainly due to the difficulty in reaching the tight 260ns NR synchronization requirement and real-time wireless reconfiguration while maintaining multiyear battery life. This paper presents NR-Surface, the first real-time reconfigurable metasurface fully compliant with the NR standard, operating at 242.7 µW for a 2.1-year lifetime on an AA battery. NR-Surface incorporates (i) a new extremely low-power (14KHz sampling) reconfiguration interface, NarrowBand Packet Unit (NBPU), for synchronization and real-time reconfiguration, and (ii) a highly responsive and low-leakage metasurface designed for low-duty cycled operation, by carefully leveraging the structure and the periodicity of the NR beam management procedure in the NR standard. NR-Surface is prototyped and evaluated end-to-end with NR BS built on srsRAN to demonstrate diverse usage scenarios including multiple NR-Surface per BS, multiple UE per NR-Surface, and 3D beamforming. Around-the-corner UE evaluations showcase NR-Surface efficacy under different user mobility patterns (20.3dB gain) and dynamic blockage (22.2dB gain).

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“…While ParaMax becomes currently unpractical at around = 160 (Figure 9), this MIMO size and its requirement for optimal detection is promising for city-scale Internet of Things (IoT) applications envisioned in 5G networks or beyond. Those scenarios will handle hundreds or thousands of devices per BS with low-order modulations [49,51,52], and may accept longer processing time than ordinary data communications.…”

Section: Heuristic Detection Samplingmentioning

confidence: 99%

Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond

Kim

Mandrà

Venturelli

et al. 2021

Proceedings of the 27th Annual International Conference on Mobile Computing and Networking

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Overcoming the conventional trade-off between throughput and bit error rate (BER) performance, versus computational complexity is a long-term challenge for uplink Multiple-Input Multiple-Output (MIMO) detection in base station design for the cellular 5G New Radio roadmap, as well as in next generation wireless local area networks. In this work, we present ParaMax, a MIMO detector architecture that for the first time brings to bear physics-inspired parallel tempering algorithmic techniques [28,50,67] on this class of problems. ParaMax can achieve near optimal maximum-likelihood (ML) throughput performance in the Large MIMO regime, Massive MIMO systems where the base station has additional RF chains, to approach the number of base station antennas, in order to support even more parallel spatial streams. ParaMax is able to achieve a near ML-BER performance up to 160 × 160 and 80 × 80 Large MIMO for low-order modulations such as BPSK and QPSK, respectively, only requiring less than tens of processing elements. With respect to Massive MIMO systems, in 12 × 24 MIMO with 16-QAM at SNR 16 dB, ParaMax achieves 330 Mbits/s near-optimal system throughput with 4-8 processing elements per subcarrier, which is approximately 1.4× throughput than linear detector-based Massive MIMO systems. CCS CONCEPTS• Networks → Wireless access points, base stations and infrastructure.

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A millimeter wave network for billions of things

Cited by 30 publications

References 29 publications

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review

Channel Estimation for Reconfigurable Intelligent Surface-Aided mmWave Communications

Physics-inspired heuristics for soft MIMO detection in 5G new radio and beyond

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