China
Africa
Explore chapters and articles related to this topic
Deep Learning Applications on Edge Computing
Published in Amitoj Singh, Vinay Kukreja, Taghi Javdani Gandomani, Machine Learning for Edge Computing, 2023
Naresh Kumar Trivedi, Abhineet Anand, Umesh Kumar Lilhore, Kalpna Guleria
By 2024, it is estimated that 5G mobile edge computing (MEC) will be a multi-million dollar market with $73 million in company deployments. The sophistication of the data keeps growing every year. The increase in network complexity systems results from the increase in on-demand and personalized services. Providers of internet services have to handle traffic in connected cars, online gaming, voice over IP (internet protocol), and IoT computer transmissions on the internet for web browsing. A fundamental change in mobile and fixed access networks is necessary for new restrictions that are being imposed by on-demand providers, as listed previously. Mobile networks of the fifth generation (5G) are being built to meet the growing demand and diversity [8].
Systems
Published in Sibley Martin, Modern Telecommunications, 2018
The first-generation mobile phone was analogue in form and was quickly replaced by the digital second-genera tion (2G) phone. The second generation operated at 900 or 1800 MHz and carried some of the services we use today, albeit at a slow rate (300 kbit/s), but enough for texting. Third-generation (3G) devices provided us with many of the features we have come to expect now. Depending on the type of phone, the data rate can be 0.3–42 Mbit/s, which is sufficient for reading e-mails and video conferencing using Skype; in fact, it is satisfactory for most people’s needs. After this there is fourth generation (4G), which operates with a design data rate of 100 Mbit/s. This generation uses Internet protocol (IP) and speech is carried as voice over IP (VoIP). The frequencies used are 850, 900, 1800 and 1900 MHz and some phones are quad-band. There are many evolutions of the standards, so many that they are not listed here. However, it is instructive to review the technology used in the different generations (Table 6.7).
Equipment Vendors and Field Trials
Published in Gilbert Held, Understanding Broadband over Power Line, 2016
A fourth Ambient network layer component is the GW-node, which is also referred to as a gateway node. The GW-node is installed at the customer’s premises. This device contains a PLC interface to the low-voltage line and Ethernet and plain old telephone service (POTS) interfaces to support an in-home data network as well as Voice-over-IP (VoIP) telephony. The GW-node is designed as a modular device that can enable support for additional utility services to include meter reading as well as in-home wireless networking. Thus, the GW-node can be viewed as the equivalent of a Swiss Army knife due to its support for a variety of network interfaces.
Machine repair system with threshold recovery policy, unreliable servers and phase repairs
Published in Quality Technology & Quantitative Management, 2023
Kamlesh Kumar, Madhu Jain, Chandra Shekhar
The queueing modeling of machine repair systems with phase services has a profound impact on industrial congestion scenarios. The notion of phase service in machine repair issues is included in order to provide a higher quality of service to failing machines. In manufacturing systems, raw materials are transformed into completed products through a sequence of processing steps. The Internet and Voice-over-IP (VoIP) technologies enable users to make calls over IP networks, and this service process (VoIP) is accomplished in three phases: connection establishment, information transfer and accessing differentiated services. The phase service queue can also be observed in computer and communication networks, where messages are processed from a message generation center in multiple phases. Chakravarthy and Agarwal (2003) studied a repairable system with an unreliable server and phase repair to evaluate the optimal number of machines allocated to the server in order to maximize profit per unit time. Jain and Bhagat (2016) suggested a model for a retrial queueing system with phase repair and reneging. Choudhury et al. (2015) examined the performance of a retrial queue model with two types of phase service.