5g - DOAJ

A Novel Miniaturized mmWave Antenna Sensor for Breast Tumor Detection and 5G Communication

Breast cancer is one of the most common diseases that affects women around the world. This research aims to produce a low-cost miniature imaging antenna sensor that can be used to find breast tumors or cancers in women by monitoring the antenna's S11 parameter. With a peak gain of 6. 65 dB and an efficiency of 96. 4 percent in terms of radiation, making it a good platform for fifth generation communication, the updated antenna sensor has a operating frequency bandwidth of 32. 626 GHz to 33. 96 GHz, making it a suitable option for fifth generation communications.

Source link: https://doi.org/10.1109/ACCESS.2022.3216858

Latency and Complexity Analysis of Flexible Semi-Parallel Decoding Architectures for 5G NR Polar Codes

Polar codes are one of the most recent developments to the forward error correction code family, having recently been included in the 5G New Radio format for the control channel. In this context, we investigate the effects of main code and decoder design parameters on the latency, throughput, and hardware complexity of semi-parallel decoding architectures. In order to be a reference for the adoption of flexible, yet cost-effective FEC decoders for polar codes, detailed analytical and logic synthesis results are presented and compared for a wide range of measurements.

Source link: https://doi.org/10.1109/ACCESS.2022.3216292

ZEUS: Handover algorithm for 5G to achieve zero handover failure

In 5G, the intended time for interruption time during a handover is 0 ms. We find that we found a ZEro handover failure with Unforced and automatic time-to-execute Scaling's technique to optimize HO parameters quickly in the CHO, according to this report. ZEUS can achieve a zero HOF rate without increasing the ping-pong rate, according to analysis and simulation results. To determine the appropriateness of an HO algorithm, we establish a new integrated HO performance metric, mobility-aware average effective spectral efficiency. ZEUS has higher MASE than LTE and other CHO variants, according to the simulation results.

Source link: https://doi.org/10.4218/etrij.2020-0356

Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques

Wireless sensor networks have played a key role in communications over the past few years, making them a major data carrier across networks, with the mobility and ease of connectivity. To ensure load balancing, limit network slice letdown, and provide alternative slices in slice or congestion, a sophisticated decision-making device for arriving network traffic is required. A hybrid deep learning technique is being used in this research study to forecast optimal congestion improvement in 5G/6G IoT networks' wireless sensors.

Source link: https://doi.org/10.1155/2022/1781952

MIMO antenna array with the capability of dual polarization reconfiguration for 5G mm-wave communication

For 5th generation millimeter wave communications, this communication presents a polarization reconfigurable antenna array with Multi-input Multi-output arrays. On Roger RT Duriod 5880, a single corner curtailed diagonal slotted cylindrical patch is printed on the first column; total length of the single antenna is 12 mm3. By inserting the diagonal slot in the circular patch, circular polarization can be realized. The antenna array has been extended to a two-element antenna array with a footprint of 20 u00d7 20 -0. 7 mm3. The patches to change the polarization state between LP and CP radiation are embedded with the patches to change the polarization state between LP and CP radiation. 6 mm along the edge-to-edge distance between antenna elements is about 6 mm. A prototype of the realized MIMO antenna system is manufactured, and experimental results obtained by Computer Simulation Technology tools are confirmed by experimental findings. A prototype of the realized MIMO antenna system is made, and the experimental results obtained by simulation results are confirmed by experimental findings.

Source link: https://doi.org/10.1038/s41598-022-23163-3

Formalization and evaluation of EAP-AKA’ protocol for 5G network access security

The AKA protocol has been standardized for 5G networks, and the Extensible Authentication Protocol - AKA2019 protocol is one of the main authentication mechanisms that has been developed for User Equipment and network mutual authentication. This paper examines the EAP-AKA-u2019 protocol and performs extensive formal testing of the EAP-AKA-u2019 protocol as defined in the 5G security framework to determine whether the protocol is verifiably safe for 5G. It provides a risk analysis of the EAP-AKAu2019 protocol based on the latest 5G guidelines using ProVerif, a security protocol proof verifier.

Source link: https://doi.org/10.1016/j.array.2022.100254

Throughput fairness trade-offs for downlink non-orthogonal multiple access systems in 5G networks

In this work, user pairing and power allocation have been suggested as a hybrid scheme to increase throughput and ensure system fairness in the non-orthogonal multiple access network in 5G networks. In addition, the optimization challenge is solved by turning multi-objective tasks into a single task by scalarization of multi-objective optimization problems, and penalty function is used to discourage optimization from violating the power, fairness, and data rate constraints.

Source link: https://doi.org/10.1016/j.heliyon.2022.e11265

Modelling and Predicting Quality-of-Experience of Online Gaming Users in 5G Networks

The 5G technology can greatly enhance human life by allowing new use cases that can fully capitalize on the 5G networks' increased throughput, links, and latency. It is well known that 5G networks can be used for gathering network monitoring reports and application evaluations, but the connection between the data and the users' QoE is not well understood. Since a large number of data can be collected, machine learning's approach is well suited for predicting users' opinions when playing online games in 5G networks. An artificial neural network model is developed in this paper to forecast the users of a 5G network during an online gaming session, based on the network monitoring results of a 5G network during an online gaming session, and the model's success is determined. To obtain the network monitoring reports from a 5G NSA indoor private campus network, the Unified Management Expert system is used.

Source link: https://doi.org/10.14716/ijtech.v13i5.5866

Path Loss Modelling for High Speed Rail in 5G Communication System

In this paper, a new path loss model for high-speed rail in the 5G communication network is developed. According to reports, the assembled path loss model is successfully validated because it can be used to analyze the original HSR path loss measurements' dynamic features. The path loss model can then be used for the future dense deployment of HSR infrastructures for the 5G communication network.

Source link: https://doi.org/10.14716/ijtech.v13i4.5058

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