Wednesday, September 27, 2023

Wi-Fi 7 Moves Forward, Adding Yet Another Protocol

 



The latest generation Wi-Fi protocol brings better speeds and data handling, but it does little to bridge various communications technologies. That, in turn, makes it more difficult and more expensive to design chips because they must integrate and support multiple wireless technologies, including different versions of the same technology.


Wireless communications technologies are often victims of their own success, with each new generation promising to solve the congestion problems caused by the fervent adoption of the last generation. This is unavoidable in a world where every day there are new use cases for wireless connectivity, from autonomous vehicles to robots on hospital rounds to further dependence on the cloud, including Microsoft’s interest in making Windows a cloud-based service for consumers. The proliferation of needs has spawned a menagerie of communications protocols, each with its own niche, and even novel protocols, like Matter, to interconnect older protocols.

Wi-Fi, once considered “the poor cousin to cellular,” is now the most commonly used wireless communication technology, with more than 3.8 billion devices shipping annually and nearly 20 billion devices in use, according to the Wi-Fi Alliance, the trade group that coined the term and registered it as a trademark in 2000.




“At lower frequencies, everything looks like glass to a radio wave,” said Marc Swinnen, director of product marketing at Ansys. “But as you get to higher and higher frequencies, things get much more opaque and even small barriers will block the signal. Additionally, long wavelengths go round corners more easily than shorter wavelengths. So at shorter wavelengths, you need more line-of-sight. With both 6G cellular and Wi-Fi 7, you’re going to have to put in many more base stations that are much more local.”

Wi-Fi underpins most IoT applications, whether consumer or enterprise, and therein lies the problem. If every home appliance needs spectrum, from the smart lightbulb to the EV pulling into the garage, and every office device needs spectrum from the wireless printer to the 4D display in the conference room, then interference and network slowdowns seem inevitable.



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Machine learning





Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. IBM has a rich history with machine learning.

There are four basic types of machine learning: supervised learning, unsupervised learning, semisupervised learning and reinforcement learning. The type of algorithm data scientists choose depends on the nature of the data.

For example, If a Machine Learning algorithm is used to play chess. Then the experience E is playing many games of chess, the task T is playing chess with many players, and the performance measure P is the probability that the algorithm will win in the game of chess.


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Monday, September 25, 2023

Local Area Network




A local area network (LAN) is a collection of devices connected together in one physical location, such as a building, office, or home. A LAN can be small or large, ranging from a home network with one user to an enterprise network with thousands of users and devices in an office or school. 



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Thursday, September 21, 2023





Network security is any activity designed to protect the usability and integrity of your network and data. It includes both hardware and software technologies. It targets a variety of threats. It stops them from entering or spreading on your network. Effective network security manages access to the network. 


Types of Network Security
  • Access Control.
  • Antivirus and Anti-Malware Software.
  • Cloud Security.
  • Email Security.
  • Firewalls.
  • Application Security.
  • Intrusion Prevention System(IPS)





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Friday, September 1, 2023

5G Architecture and the Cloud and the Edge




Let’s talk about edge computing within the 5G network architecture.

One more concept that distinguishes 5G network architecture from its 4G predecessor is that of edge computing or mobile edge compute. In this scenario, you can have small data centers positioned at the edge of the network, close to where the cell towers are. That’s very important for very low latency and for high bandwidth applications that are carrying the same content.

For a high bandwidth example, think of video streaming services. The content originates in a server that’s sitting somewhere in the cloud. If people are connected to a cell tower and let’s say, 100 people are streaming a popular TV program, it’s more efficient to have that content as close to the consumer as possible, right there on the edge, ideally on the cell tower.

The user streams this content from a storage media that is on the edge rather than having to stream and transfer this information and backhaul it for 100 people from the central location on the cloud. Instead, using the 5G structure, you can bring to content to the tower just once and then distribute it out to your 100 subscribers.

The same principle applies in applications requiring two-way communication where low latency is needed. If a user has an application running at the edge, then the turnaround time is much faster because the data doesn’t have to traverse the network.

In the 5G network structure, these edge networks can also be used for services that are provided on the edge. Since it’s possible to virtualize these 5G core functions, you could have them running on a standard server or data center hardware and have fiber running to the radio that sends out the signal. So the radio is specialized, but everything else is pretty standard.

Today, 4G LTE is still growing. It provides excellent speed and sufficient bandwidth to support most IoT applications today. 4G LTE and 5G networks will co-exist over the next decade, as applications begin to migrate and then 5G networks and applications eventually supersede 4G LTE.

Devices Using 5G

5G will evolve over time, and 5G devices will follow suit. Early products will be “5G-ready”, which means that these products have the processing power and Gigabit Ethernet ports needed to support the higher bandwidth 5G modems and 5G extenders now on the horizon.

Later 5G products will have 5G modems directly integrated and have a faster multi-core processor, 2.5 or even 10 Gigabit Ethernet interfaces and Wi-Fi 6/6E radios. These product changes will drive the cost of 5G products up but are required to handle the additional speed and lower latency that 5G networks will offer.



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Difference between 4G and 5G Network Architecture

 

In this section, we’ll discuss how 4G and 5G architectures differ. In a 4G LTE network architecture, the LTE RAN and eNodeB are typically close together, often at the base or near the cell tower running on specialized hardware. The monolithic EPC on the other hand is often centralized and further away from the eNodeB. This architecture makes high-speed, low-latency end-to-end communication challenging to impossible.

As standards bodies like 3GPP and infrastructure vendors like Nokia and Ericsson architected the 5G New Radio (5G-NR) core, they broke apart the monolithic EPC and implemented each function so that it can run independently from each other on common, off-the-shelf server hardware. This allows the 5G core to become decentralized 5G nodes and very flexible. For example, 5G core functions can now be co-located with applications in an edge datacenter, making communication paths short and thus improving end-to-end speed and latency.


   


Source: Techmania

Another benefit of these smaller, more specialized 5G core components running on common hardware is that networks now can be customized through network slicing. Network slicing allows you to have multiple logical “slices” of functionality optimized for specific use-cases, all operating on a single physical core within the 5G network infrastructure.

A 5G network operator may offer one slice that is optimized for high bandwidth applications, another slice that’s more optimized for low latency, and a third that’s optimized for a massive number of IoT devices. Depending on this optimization, some of the 5G core functions may not be available at all. For example, if you are only servicing IoT devices, you would not need the voice function that is necessary for mobile phones. And because not every slice must have exactly the same capabilities, the available computing power is used more efficiently.




The Evolution of 5G

Every generation or “G” of wireless communication takes approximately a decade to mature. The switch from one generation to the next is mainly driven by the operators’ need to reuse or repurpose the limited amount of available spectrum. Each new generation has more spectral efficiency, which makes it possible to transmit data faster and more effectively over the network.



The first generation of wireless communication, or 1G, started back in the 1980s with analog technology. This was followed quickly by 2G, the first network generation to use digital technology. The growth of 1G and 2G was initially driven by the market for mobile phone handsets. 2G also offered data communication, but at very low speeds.

The next generation, 3G, began ramping up in the early 2000s. The growth of 3G was driven by handsets again, but was the first technology to offer data speeds in the 1 Megabit per second (Mbps) range, suitable for a variety of new applications both on smartphones and for the emerging Internet of Things (IoT) ecosystem. Our current generation of wireless technology 4G LTE, began ramping up in 2010.

It’s important to note that 4G LTE (Long Term Evolution) has a long life ahead; it is a very successful and mature technology and is expected to be in wide use for at least another decade.




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What is 5G Network Architecture?

 




The first question you may be asking is: What exactly is 5G? The second question may be: How is it architected differently to deliver speed, low latency, capacity, and numerous other benefits?

In this article, we will tackle the 5G architecture question. We will look at some of the capabilities made possible by 5G network architecture and how connected applications can benefit from it. You can find more resources in the links throughout this article and in the related resources in the footer. For a good basic 5G introduction, see the article, What Is 5G, Part 1. Our 5G overview continues in Part 2, Who Will Adopt 5G Technology, and When?

One thing is certain: Our connected world is changing. 5G, with its next-generation network architecture, has the potential to support thousands of new applications in both the consumer and industrial segments. The possibilities for 5G seem almost limitless when speed and throughput are exponentially higher than current networks.

These advanced capabilities will enable applications across vertical markets such as manufacturing, healthcare, and transportation, where 5G will play a major role in everything from advanced manufacturing automation to fully autonomous vehicles. In order to develop profitable business use cases and applications for 5G, it helps to have at least a general understanding of the 5G network architecture that lies at the heart of all these new applications.

5G has received an enormous amount of attention, and more than a little hype. While the potential is enormous, it’s important to know that the industry is still in its early stages of adoption. The process of deploying the 5G network started many years ago and involved building out the new infrastructure, most of which is funded by the major wireless carriers.

Full 5G deployment will take time, rolling out in major cities long before it can reach less populated areas. Digi supports our customers in preparing for 5G, with communications on migration planning and next generation products. While Digi is not directly involved in developing the 5G new radio (NR) core and 5G radio access network (RAN), Digi devices will be an integral part of the 5G vision and their use in a myriad of 5G applications.

5G Design and Planning Considerations

The design considerations for a 5G network architecture that supports highly demanding applications is complex. For example, there is no one-size-fits all approach; the range of applications requires data to travel distances, large data volumes, or some combination. So 5G architecture must support low, mid and high-band spectrum – from licensed, shared and private sources – to deliver the full 5G vision.

For this reason, 5G is architected to run on radio frequencies ranging from sub 1 GHz to extremely high frequencies, called “millimeter wave” (or mmWave). The lower the frequency, the farther the signal can travel. The higher the frequency, the more data it can carry.





There are three frequency bands at the core of 5G networks:

  • 5G high-band (mmWave) delivers the highest frequencies of 5G. These range from 24 GHz to approximately 100 GHz. Because high frequencies cannot easily move through obstacles, high-band 5G is short range by nature. Moreover, mmWave coverage is limited and requires more cellular infrastructure.
  • 5G mid-band operates in the 2-6 GHz range and provides a capacity layer for urban and suburban areas. This frequency band has peak rates in the hundreds of Mbps.
  • 5G low-band operates below 2 GHz and provides a broad coverage. This band uses spectrum that is available and in use today for 4G LTE, essentially providing an LTE 5g architecture for 5G devices that are ready now. Performance of low-band 5G is therefore similar to 4G LTE, and supports use for 5G devices on the market today.



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Tweaking Network Latency for Search with HTTP/3 at Dropbox

  




Dropbox recently experimented with HTTP/3 to improve network latency. Harnessing the enhanced head-of-line blocking in HTTP/3, the team at Dropbox observed a notable reduction in latency, particularly at the 90th percentile (p90) and higher.

Tiffany Fong, Mike Lyons, and Nikita Shirokov from the Retrieval Experiences and Traffic team at Dropbox described the experiment in a blog post. Network latency is influenced by various factors such as the time of day, local network conditions, and the distance between the user's location and Dropbox server locations. The team found that network latencies in Europe were twice as high as those in North America, while in Asia, latencies were three times higher compared to North America.

The team set up the experiment by designing a test site that made specific API requests over HTTP/3 without impacting the users of the main site. For two weeks from December 2022 to January 2023, the team triggered 300,000 requests per day. To simulate real-world scenarios at Dropbox, the requests were executed in parallel, emulating concurrent actions. The HTTP/3 tests were performed once for each page load and after the completion of a user's search.

To replicate real-world scenarios, the team at Dropbox implemented a systematic approach. They initiated a pre-warming process by triggering two sequential HTTP/3 requests to populate the cache. Subsequently, they attempted to utilize HTTP/3 for all subsequent connections following the initial HTTP/2 connection. Next, they executed five simultaneous HTTP/2 requests to a no-op API endpoint, recording the network time for each request. Finally, in the last stage, another set of five parallel requests was made to the same no-op API endpoint using HTTP/3, and the elapsed network time was logged for analysis.

Using HTTP/3 caused a latency reduction of 48ms (or 13%) at p90 and a reduction of 146ms (21%) at p95. The team concluded that HTTP/3 is better at handling packet drops in parallel connection by eliminating head-of-line blocking. The impact of HTTP/3 on network latencies became clearer, particularly when analyzing specific regions at higher percentiles. In the Asia region, HTTP/3 demonstrated a significant reduction in network latencies of approximately 77ms (p90) and a remarkable 200ms (p95).


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9th Edition of International Research Awards on Network Protocols, 24-25 Sep 2023, Mumbai, India ( Hybrid )

 





International Research Awards on Network Protocols


Network Protocols is the Researchers and Research organizations around the world in the motive of Encouraging and Honoring them for their Significant contributions & Achievements for the Advancement in their field of expertise. Researchers and scholars of all nationalities are eligible to receive ScienceFather Network Protocols Awards. Nominees are judged on past accomplishments, research excellence, and outstanding academic achievements. International Research Awards on Network Protocols recognize outstanding contributions and advancements in the field of Network Protocols. These awards aim to acknowledge individuals or teams who have made significant research breakthroughs, developed innovative protocols, or made notable contributions to the understanding and improvement of Network Protocols.




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9th Edition of International Conference on Network Protocols, 24-25 Sep 2023, Mumbai, India (Hybrid)






Network Protocols Conference organized by ScienceFather group. ScienceFather takes the privilege to invite speakers, participants, students, delegates, and exhibitors from across the globe to its Global Conference on Network Protocols conferences to be held in the Various Beautiful cites of the world. Network Protocols conferences are a discussion of common Inventions-related issues and additionally trade information, share proof, thoughts, and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications, such as in Science, medicine, electronics, biomaterials, energy production, and consumer products.



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