scispace - formally typeset
Search or ask a question

What 5g simulation is good for research? 


Best insight from top research papers

5G simulation is beneficial for research in various ways. Firstly, it allows for the investigation and establishment of 5G communication protocols between different systems, such as the SCADA system and the solar micro-inverter of a solar power system . Secondly, it enables the modeling of virtual network functions, network slicing, and the generation of realistic network traffic, providing flexibility and scalability in the deployment of new network services . Thirdly, it serves as a powerful platform for performing both link-level and system-level simulations, making it suitable for 5G system-level simulations . Additionally, 5G simulation can be used as a real-time emulator, allowing for the prototyping and performance evaluation of distributed applications meant to run on 5G networks . Lastly, it facilitates the analysis and simulation of the diffusion of 5G technology, providing insights into key indicators for stakeholders and offering alternative paradigms for technology distribution .

Answers from top 5 papers

More filters
Papers (5)Insight
Open accessJournal ArticleDOI
27 Oct 2021-IEEE Access
12 Citations
The paper discusses how real-time emulation of 5G networks, using Simu5G, is beneficial for research purposes such as prototyping, performance evaluation, research demonstration, and evaluation of other technologies meant to interoperate with 5G access.
The paper discusses a simulation model for the diffusion of 5G technology, which analyzes key indicators such as the number of adopters, diffusion time, and total revenue for stakeholders.
The paper discusses how MATLAB's 5G Toolbox can be used for system-level simulations in 5G research. It suggests that the toolbox is suitable for 5G system-level simulations, but mentions that it has a long execution time.
The provided paper describes a network simulator for 5G virtualized networks, which can be used for research on network virtualization, network slicing, and network traffic generation in 5G networks.

Related Questions

Why 5G Network?5 answers5G networks are being developed to meet the increasing demand for high-speed and reliable mobile communication. The advancements in mobile technology, such as virtual reality applications and HD video consumption, have led to a rapid expansion of mobile users and their usage. The current 4G networks will soon be unable to handle the predicted trends of new technologies like driverless vehicles and virtual reality. Therefore, industry experts and research associations are working towards making 5G networks a reality. 5G networks will offer data transmission speeds up to 10Gbps, which are 10 to 100 times faster than 4G. They will also merge ultra-broadband networks and incorporate technologies like the Internet of Things, blockchain, big data, artificial intelligence, machine learning, and cloud computing. The optimization of 5G networks will be based on big data analysis and cloud computing, ensuring enhanced performance, flexibility, and personalization.
How to simulate intelligent slicing belong 5G stream?4 answersSimulation of intelligent slicing in the context of 5G networks involves the use of artificial intelligence and machine learning techniques to associate users with different types of communication slices. Realistic user and base station data are simulated to create an evolving real-time scenario that takes into account handovers between cells. Neural network-based and random forest-based learning models are developed and tested for placing users in various communication slices such as Massive Internet of Things (MIoT), Ultra-Reliable Low-Latency Communications (URLLC), Vehicle to Everything (V2X), and enhanced Mobile Broadband (eMBB). Additionally, an Artificial Intelligence framework is proposed for cross-slice admission and congestion control, which considers communication, computing, and storage resources to maximize resource utilization and operator revenue. The framework utilizes smart feature extraction and online algorithms to analyze incoming requests, evaluate requirements, and dynamically adjust resource allocation to reduce dropping probabilities of new slice requests.
What are the developments of 5G?5 answersThe developments of 5G technology include significant changes in the way we interact with the digital world and use technology. It offers high-speed data transfers, opening up opportunities for new applications and services in various sectors. In the production sector, 5G technology can speed up the production process and increase efficiency by using industrial technology 4.0. Within the service sector, it enables faster and high-quality services, such as more stable and faster video streaming. However, the development of 5G technology also brings security and privacy concerns, as the speed offered by 5G makes it easier to carry out attacks and access personal data. Therefore, it is important for the industry to ensure that the 5G technology used meets established security standards. Additionally, 5G networks provide high-speed internet access from any location and have capabilities like linking people and controlling machines, devices, and objects. The future research goals for 5G mobile systems include elements like millimeter wave and massive multiple-input and multiple-output. 5G technology will contribute to the development of multiple businesses in various sectors. The key use cases of 5G include mobile internet services and IoT services for industrial applications.
Examples of Potential mobile robots and 5G connectivity in various industries?4 answersMobile robots have the potential to be used in various industries for different applications. They can be used for remote control and fleet management in a smart factory, as mentioned in the papers by Sossalla et al.and Rodriguez et al.. These robots require reliable and low latency communication, which can be achieved through 5G connectivity. The performance of 5G standalone systems in a production environment has been evaluated in the papers by Sossalla et al.and Rodriguez et al.. The results indicate that 5G connections can meet the requirements specified by 3G PP in terms of delay and reliability for the control and management of mobile robots. Additionally, Muralidharan and Mostofidiscuss the establishment of connectivity between a robot and a remote operator or another robot as it moves along a path. They analyze the distance traveled before connectivity is established, considering wireless channel parameters. Overall, these papers highlight the potential of mobile robots and 5G connectivity in industries such as smart factories and autonomous control.
How can 5G be used to improve the accuracy of SLAM?5 answers5G can be used to improve the accuracy of SLAM in various ways. One approach is to use 5G to enhance the measurement of diameter at breast height (DBH) and tree height in forest investigations. Another way is to utilize 5G to model the spatial uncertainty of RGBD point features, which can increase the accuracy of RGB-D SLAM. Additionally, 5G can be employed to eliminate the impact of dynamic objects on visual SLAM trajectory accuracy in dynamic indoor environments by combining semantic segmentation and geometric constraints. Furthermore, 5G can improve the accuracy and robustness of visual SLAM by using spatial consistency of point features for feature matching. Finally, 5G can be utilized in SLAM algorithms, such as Adaptive Unscented Kalman Filter (AUKF), to reduce estimation errors and improve navigation accuracy.
How can 5G be used to improve the localization and navigation of mobile robots?5 answers5G technology can be used to improve the localization and navigation of mobile robots. By integrating 5G communication technology with mobile robotic platforms, such as drones and robots, it becomes possible to provide obstacle-aware wireless connectivity to 5G User Equipments (UEs) and enable on-demand placement of 5G communication cells. This allows for the monitoring of radio conditions provided to the served UEs and the remote positioning of the mobile robotic platform using visual information from on-board video cameras. Additionally, the low latency and high data rates of 5G technology enable real-time and interactive tele-operation of mobile robots, facilitating active and instant two-way interaction between pilots and robots for improved localization and navigation.