Advanced searches left 3/3

5g - Astrophysics Data System

Summarized by Plex Scholar
Last Updated: 10 January 2023

* If you want to update the article please login/register

Watching your call: Breaking VoLTE Privacy in LTE/5G Networks

Voice over LTE and Voice over NR are two similar technologies that have been widely used by operators to deliver a more seamless calling experience in LTE and 5G networks, respectively. We further recommend an identity mapping service that allows our mobile-relay adversary to link a victim's network identifiers to the phone number quickly and efficiently, requiring only a single VoLTE protocol message. We collect over 60 hours of traffic between the phones and the mobile networks and execute 160 VoLTE calls, which we use to efficiently detect patterns in the physical layer parameter allocation and in VoLTE traffic, respectively. While remaining undetected by the perpetrator, we show that we can link network identifiers such as International Mobile Subscriber Identities, Subscriber Concealed Identifiers, and/or Globally Unique Temporary Identifiers to phone numbers.

Source link: https://ui.adsabs.harvard.edu/abs/2023arXiv230102487C/abstract


Varactor-tuned wideband band-pass filter for 5G NR frequency bands n77, n79 and 5G Wi-Fi

The new BPF, which includes the G band of the United States, 5G band of Japan, and 5G Wi-Fi, and 5G Wi-Fi, covers 5G, n79, and 5G Wi-Fi. BPF is 0. 258 mb g u03bb g u03bb g/u03bb g u03bb g, where u03bb g is the guided wavelength at the central frequency. By the curve fitting process, a good relationship between the band-width and the varactor diodes is established.

Source link: https://ui.adsabs.harvard.edu/abs/2022NatSR..1216330G/abstract


An integrated model of UTAUT2 to understand consumers' 5G technology acceptance using SEM-ANN approach

Circumstances have shifted in the last decade, but every human being's basic need has arisen. The study integrated curiosity, perceived value, economic value, and environmental information into UTAUT2 in order to determine the effect of sociopsychological variables on 5G technology adoption plans, as well as environmental concerns, which measured how they interact. Valid responses from 840 respondents were collected, investigated, and ranked using the deep learning ANN technique. According to an ANN sensitivity report, newly integrated predictors are surprisingly the most important predictors, followed by enabling conditions and perceived satisfaction. According to the SEM-ANN hybrid two-step deep learning model, the error rate was 83. 6% higher than the baseline model. The study expanded UTAUT2's canvas and introduced new variables to forecast user technology adoption. This will show how consumers react to 5G services and help telecoms expand into new markets.

Source link: https://ui.adsabs.harvard.edu/abs/2022NatSR..1220056M/abstract


5G on the Farm: Evaluating Wireless Network Capabilities for Agricultural Robotics

Global food safety is quickly becoming a critical topic globally today, with Global food safety apex quickly becoming a hot topic. Global food security is being threatened by global warming, climate change, socioeconomic, and economic impacts, as well as agricultural and economic challenges, global warming, climate change, and a variety of other human-caused impacts, including carbon dioxide, socioeconomic, and economic instability, traditional workforce/labour decline, and population growth are all putting pressure on global food security. The work presented here compares 5G in an agri-robotics application to 4G and WiFi6, which are commonly used in agricultural settings. The findings have shown that 4G cannot be used in the agricultural domain for applications that require high throughput and continuous communication between robot and user. Also, the results reveal that 5G greatly outperforms 4G in all performance metrics, with average only 18. 2 mills slower than WiFi6, making it extremely fast.

Source link: https://ui.adsabs.harvard.edu/abs/2023arXiv230101600Z/abstract


A Sequence Repetition Node-Based Successive Cancellation List Decoder for 5G Polar Codes: Algorithm and Implementation

Node-based SCL decoding provides a significant decrease in decoding latency compared to conventional SCL decoding by identifying special constituent codes and decoding them immediately. We extend a recent generalized node, the sequence repetition node to SCL decoding, and we discuss the first implementation of an SR-List decoder in this paper. Our enhanced SR-List decoding algorithm, which integrates certain SR-List decoding steps and implementing various optimizations for 5G New Radio polar codes, increases the throughput by almost 20̆0d7 over a similar state-of-the-art node-based SCL decoder.

Source link: https://ui.adsabs.harvard.edu/abs/2022ITSP...70.5592R/abstract


A Review of Radio Frequency Based Localisation for Aerial and Ground Robots with 5G Future Perspectives

The ubiquitous 5G NR cellular network would give new opportunities to expand UAVs and UGVs in the localization of UAVs and UGVs. The current state-of-the-art literature on RF-based localisation for both UAVs and UGVs is reviewed, as well as the potential 5G NR for localisation improvement and future research direction are explored.

Source link: https://ui.adsabs.harvard.edu/abs/2022Senso..23..188K/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions