A Millimeter Wave Network for Billions of Things

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

doi:10.1145/3379092.3379104

Cited by 2 publications

(5 citation statements)

References 5 publications

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“…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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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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“…However, these techniques require phased arrays to steer the beam electronically and search for the best beam alignment. Unfortunately, phased arrays are expensive to build and have high power consumption [2,21,22,34]. Recent work has proposed a beam searching process without the use of phased array by exploiting channel blockage [22].…”

Section: Related Workmentioning

confidence: 99%

“…Unfortunately, phased arrays are expensive to build and have high power consumption [2,21,22,34]. Recent work has proposed a beam searching process without the use of phased array by exploiting channel blockage [22]. However, this work and other existing beam searching techniques require the node to have an active radio where it can transmit a signal or measure the received signal.…”

Section: Related Workmentioning

confidence: 99%

“…However, a backscatter tag does not have any transmitter or receiver chain; it can only reflect signals. Second, existing schemes require phased arrays which have high power consumption (a few watts) and are costly (hundreds of dollars) [2,22]. In the following, we explain how we solve the beam alignment problem of backscatter tags without using any active block (such as phased arrays, transmitter or receiver) in our tag design.…”

Section: Beam Alignment Challengementioning

confidence: 99%

“…First, in order to steer a beam, most existing schemes require phased array antennas. Unfortunately, phased arrays are costly and consume a significant amount of power which makes them impractical for backscatter devices [2,22]. Second, most importantly, all existing schemes require both nodes to transmit and/or measure the received signals.…”

Section: Introductionmentioning

confidence: 99%

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Millimeter Wave Backscatter

Mazaheri

Chen

Abari

2020

Proceedings of the 19th ACM Workshop on Hot Topics in Networks

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Backscatter networks (such as RFID, and WiFi backscatter) are very attractive for IoT applications due to their ultra-low energy consumption. In fact, their required energy to operate is low enough that it can be harvested from the environment without having a battery. However, existing backscatter networks offer very limited data-rates (i.e. at most one Mbps). Hence, despite their energy benefit, their applications are very limited. This paper presents the design of mmTag, a backscatter network which can achieve Gbps data-rates. mmTag achieves this by developing a backscatter technology operating in the mmWave spectrum band. mmWave promises to enable high throughput wireless links by offering massive chunks of high-frequency spectrum. However, to use mmWave frequencies in backscatter networks, we need to address a fundamental challenge: beam alignment. mmWave devices require highly directional antennas with very narrow beams, and communication is possible only when the transmitter's beam is aligned with the receiver's beam. However, existing beam searching techniques require power hungry components, and most importantly require the node to transmit a signal which is not possible for a backscatter device. mmTag solves this problem by building a mmWave backscatter tag which performs beam alignment without using any active component. Finally, we implement mmTag and empirically demonstrate some results.

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A Millimeter Wave Network for Billions of Things

Cited by 2 publications

References 5 publications

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

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

Millimeter Wave Backscatter

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