Full Duplex Radio/Radar Technology: The Enabler for Advanced Joint Communication and Sensing

Barneto, Carlos Baquero; Liyanaarachchi, Sahan Damith; Heino, Mikko; Riihonen, Taneli; Valkama, Mikko

doi:10.1109/mwc.001.2000220

Cited by 148 publications

(68 citation statements)

References 15 publications

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“…Therewith, the discussed and experimentally verified improvements are a step further toward applications in which tasks that usually require battery-or accumulator-powered devices for communication with and sensing of an indoor moving object can be performed in a backscattered "green" way, whilst the obligatory room lighting is provided without any deterioration. Furthermore, the fact that, as discussed in the introduction, some new developments allow to perform VLS in parallel with the task of visible light communication opens the possibility to expand backscattering [27,28] and joint communication and sensing tasks [29], which are anticipated to be main strategies of the 6G era, to the visible spectral range. Similar to the hybrid RF/VLC(LiFi) networks [30] discussed nowadays to exploit a broader range of the electromagnetic spectrum for communication, the currently discussed backscattering and joint communication and sensing approaches could be fused with their visible light analogs in the future to exploit the advantages provided by the different ranges of the electromagnetic spectrum.…”

Section: Discussionmentioning

confidence: 99%

Backscattered Visible Light Sensing of Retroreflective Foils Utilizing Random Forest Based Classification for Speed and Movement Direction Determination and Identification of an Indoor Moving Object

Weiss

Wenzl

2021

Telecom

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Making the Internet of Things “green” has become a major research focus in recent years. The anticipated massive increase in the numbers of sensor and communication devices makes this endeavor even more important, resulting in various solution approaches ranging from energy harvesting to energy efficient routing schemes. In this work, we propose a system that can perform some of the main tasks of the Internet of Things, namely identification and sensing of an indoor moving object, by the means of visible light sensing in combination with off-the-shelf retroreflective foils, without the necessity to place any actively powered components on the object itself. By utilizing the supervised machine learning approach of random forest, we show that these two tasks can be fulfilled with up to 99.96% accuracy. Based on our previous findings in this regard, we propose some advancements and improvements of the overall system, yielding better results in parallel with an increased complexity of the system. Furthermore, we expand the number of performable tasks toward additional movement direction determination. The achieved results demonstrate the applicability of visible light sensing and its potentials for a “green” Internet of Things.

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Section: Discussionmentioning

confidence: 99%

Backscattered Visible Light Sensing of Retroreflective Foils Utilizing Random Forest Based Classification for Speed and Movement Direction Determination and Identification of an Indoor Moving Object

Weiss

Wenzl

2021

Telecom

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“…The STAR applications [39,40] constitute only a portion of the potential of the FD MIMO technology for integrated communications and sensing applications. In fact, the FD operation can enable joint communications and radar [42,43], offering re-usability of the available resources and integration of advanced sensing capabilities in future wireless systems. To this end, the recent extension [35] of the presented FD MIMO framework can be exploited for realizing highly lexible multiple beams for both communications and radar, trading off the complexity of SI cancellation with that for the sensing resolution.…”

Section: Integrated Communications and Sensingmentioning

confidence: 99%

Low complexity full duplex MIMO systems: Analog canceler architectures, beamforming design, and future directions

Alexandropoulos¹

2021

ITU-J FET

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The hardware complexity of the analog Self-Interference (SI) canceler in conventional full duplex Multiple Input Multiple Output (MIMO) designs mostly scales with the number of transmit and receive antennas, thus exploiting the benefits of analog cancellation becomes impractical for full duplex MIMO transceivers, even for a moderate number of antennas. In this paper, we provide an overview of two recent hardware architectures for the analog canceler comprising of reduced number of cancellation elements, compared to the state of the art, and simple multiplexers for efficient signal routing among the transceiver radio-frequency chains. The one architecture is based on analog taps and the other on AUXiliary (AUX) Transmitters (TXs). In contrast to the available analog cancellation architectures, the values for each tap or each AUX TX and the configuration of the multiplexers are jointly designed with the digital transceiver beamforming filters according to desired performance objectives. We present a general optimization framework for the joint design of analog SI cancellation and digital beamforming, and detail an example algorithmic solution for the sum-rate optimization objective. Our representative computer simulation results demonstrate the superiority, both in terms of hardware complexity and achievable performance, of the presented low complexity full duplex MIMO schemes over the relative available ones in the literature. We conclude the paper with a discussion on recent simultaneous transmit and receive operations capitalizing on the presented architectures, and provide a list of open challenges and research directions for future FD MIMO communication systems, as well as their promising applications.

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“…It offers much wider bandwidths and 200 times greater spectrum [5]. FD is very appealing for the mmWave band as it can not only double the spectral efficiency but also enable advanced joint communication and sensing, minimize the end-to-end latency/delays and can lead to better management of the mmWave spectrum [6]- [9]. To deal with the SI in sub−6GHz, digital beamforming served as a powerful tool due to a limited number of antennas available at the FD base stations (BSs) [10]- [20].…”

Section: Introductionmentioning

confidence: 99%

Per-link Parallel and Distributed Hybrid Beamforming for Multi-Cell Massive MIMO Millimeter Wave Full Duplex

Sheemar¹,

Slock²

2022

Preprint

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This paper presents two novel hybrid beamforming (HYBF) designs for a multi-cell massive multiple-input-multiple-output (mMIMO) millimeter wave (mmWave) full duplex (FD) system under limited dynamic range (LDR). Firstly, we present a novel centralized HYBF (C-HYBF) scheme based on alternating optimization. In general, the complexity of C-HYBF schemes scales quadratically as a function of the number of users and cells, which may limit their scalability. Moreover, they require significant communication overhead to transfer complete channel state information (CSI) to the central node every channel coherence time for optimization. The central node also requires very high computational power to jointly optimize many variables for the uplink (UL) and downlink (DL) users in FD systems. To overcome these drawbacks, we propose a very low-complexity and scalable cooperative per-link parallel and distributed (P$\&$D)-HYBF scheme. It allows each mmWave FD base station (BS) to update the beamformers for its users in a distributed fashion and independently in parallel on different computational processors. The complexity of P$\&$D-HYBF scales only linearly as the network size grows, making it desirable for the next generation of large and dense mmWave FD networks. Simulation results show that both designs significantly outperform the fully digital half duplex (HD) system with only a few radio-frequency (RF) chains and achieve similar performance. <br>

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Full Duplex Radio/Radar Technology: The Enabler for Advanced Joint Communication and Sensing

Cited by 148 publications

References 15 publications

Backscattered Visible Light Sensing of Retroreflective Foils Utilizing Random Forest Based Classification for Speed and Movement Direction Determination and Identification of an Indoor Moving Object

Backscattered Visible Light Sensing of Retroreflective Foils Utilizing Random Forest Based Classification for Speed and Movement Direction Determination and Identification of an Indoor Moving Object

Low complexity full duplex MIMO systems: Analog canceler architectures, beamforming design, and future directions

Per-link Parallel and Distributed Hybrid Beamforming for Multi-Cell Massive MIMO Millimeter Wave Full Duplex

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