| 1. |
- Bartoletti, Stefania, et al.
(författare)
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Introduction and fundamentals
- 2024
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Ingår i: Positioning and Location-based Analytics in 5G and Beyond. - 9781119911463 ; , s. 1-18
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- This chapter introduces the book and presents the main principles and fundamentals for positioning and location-based analytics, thus effectively providing the basis for the following chapters. After a brief introduction and motivation for the book, we present the main use cases, verticals, and applications for positioning and location-based analytics. Then, we provide the technical fundamentals for understanding positioning and navigation algorithms, as well as location-based analytics. An introduction to the architectural principles is presented. Finally, an outline of the book chapters is provided.
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| 2. |
- Bartoletti, Stefania, et al.
(författare)
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Positioning and Sensing for Vehicular Safety Applications in 5G and Beyond
- 2021
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Ingår i: IEEE Communications Magazine. - 0163-6804 .- 1558-1896. ; 59:11, s. 15-21
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Tidskriftsartikel (refereegranskat)abstract
- This article presents a shared vision among stakeholders across the value chain on the use of radio positioning and sensing for road safety in the 5G ecosystem. The key enabling technologies and architectural functionalities are explored, focusing on the extremely stringent localization and communication requirements. A case study for joint radar and communication using experimental data showcases the potential of the new enablers that are paving the way toward enhanced road safety in beyond 5G scenarios.
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| 3. |
- Bartoletti, Stefania, et al.
(författare)
-
Positioning methods
- 2024
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Ingår i: Positioning and Location-based Analytics in 5G and Beyond. - 9781119911463 ; , s. 21-50
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- This chapter introduces the main positioning methods, starting from the state-of-the-art and following a statistical estimation perspective. This is followed by an in-depth treatment of radio positioning, first focusing on device-based positioning and then on device-free positioning. Finally, recent approaches based on artificial intelligence methods for positioning are detailed.
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| 4. |
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| 5. |
- Giustiniano, Domenico, et al.
(författare)
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Connecting Battery-free IoT Tags Using LED Bulbs
- 2018
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Ingår i: Proceedings of the 17th ACM Workshop on Hot Topics in Networks. - New York, NY, USA : ACM. ; , s. 99-105, s. 99-105
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- We introduce BackVLC, a system to connect battery-free IoT tags using LED bulbs. We make use of bulbs beyond illumination. We send data to the tags with visible light communication (VLC), and retrofit the bulbs with simple circuitry to enable the uplink channel current VLC systems lack, using Radio Frequency (RF) backscatter communication from the tags. Tags process and send data, harvesting energy from light and radio. We present our system design and implementation, evaluate it in preliminary simulation studies and experiments, and discuss the research challenges to develop a complete network architecture. BackVLC is the first work that combines VLC with RF backscatter.
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| 6. |
- Giustiniano, Domenico, et al.
(författare)
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Optimizing TCP Performance in Multi-AP Residential Broadband Connections via Mini-Slot Access
- 2013
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Ingår i: Journal of Computer Networks and Communications. - : Hindawi Limited. - 2090-7141 .- 2090-715X. ; 2013, s. 752363-
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Tidskriftsartikel (refereegranskat)abstract
- The high bandwidth demand of Internet applications has recently driven the need of increasing the residential download speed. A practical solution to the problem is to aggregate the bandwidth of 802.11 access points (APs) backhauls in range. Since 802.11 devices are usually single radio, the communication to APs on different radio channels requires a time-division multiple access (TDMA) policy at the client station. With an in-depth experimental analysis and a customized 802.11 driver, in this paper, we show that the usage of multi-AP TDMA policy may cause degradation of the TCP throughput and an underutilization of the AP backhauls. We then introduce a simple analytical model that accurately predicts the TCP round-trip time (RTT) with a multi-AP TDMA policy and propose a resource allocation algorithm to reduce the observed TCP RTT with a very low computational cost. Our proposed scheme runs locally at the client station and improves the aggregate throughput up to 1.5 times compared to state-of-the-art allocations. We finally show that the throughput achieved by our algorithm is very close to the theoretical upper bound in key simulation scenarios.
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| 7. |
- Yan, Wenqing, 1994-, et al.
(författare)
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TunnelLiFi: Bringing LiFi to Commodity Internet of Things Devices
- 2023
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Ingår i: HotMobile '23: Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications. - New York, NY, USA : ACM Digital Library. - 9798400700170 ; , s. 1-7
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Konferensbidrag (refereegranskat)abstract
- LiFi, light-fidelity, is a wireless technology that uses visible light for data transmission. It has several advantages, such as using a different part of electromagnetic spectrum than radio communication and providing enhanced privacy because light transmission is blocked by walls. Internet of Things applications with low-to-moderate data rates represent a promising arena for LiFi adoption. However, it is difficult to bring LiFi to IoT devices for several reasons, including some of LiFi's strengths. We present TunnelLiFi, a new receiver architecture that acts like a bridge between the light and radio spectrums. A key aspect of TunnelLiFi's design is the use of the unique self-oscillating mixing property of the tunnel diode oscillator, which enables the mixing of a photodiode signal with a locally generated radio frequency carrier signal while drawing under 100 μW of power consumption. In our experiments, Tunnel-LiFi demonstrates the ability to replicate the information contained in light signals onto radio signals at tens of microwatts, even in low-light conditions (300 lux) and at low bitrates (2.93 Kbps). We also show the potential of TunnelLiFi to support high bitrates. TunnelLiFi opens up new possibilities for LiFi technology by enabling communication in areas where light propagation is challenging. It also allows commodity IoT devices to receive LiFi transmissions using their existing transceivers, thus expanding the reach of LiFi.
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