wimax technology research paper

• DOI: 10.1007/978-1-4020-9300-5
• Corpus ID: 112119681

Current Technology Developments of WiMax Systems

• Published 30 January 2009
• Engineering, Computer Science

30 Citations

1 scheduling mechanisms, a review on wimax multihop relay technology for practical broadband wireless access network design, qos : from wi-fi to wimax, intelligent uplink bandwidth allocation based on pmp mode for wimax, novel fast encryption algorithms for multimedia transmission over mobile wimax networks, improving qos of wimax by on_demand bandwidth allocation based on pmp mode, analysis and enhancement of wimax scheduling for telemedicine support, an enhanced feedback-base downlink packet scheduling algorithm for mobile tv in wimax networks.

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On demand bandwidth allocation using PMP mode for WIMAX network

Evaluating of on demand bandwidth allocation mechanism for point-to-multipoint mode in wimax, related papers.

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WiMAX in Education: A Wireless Networking Lab Design

• Conference paper
• First Online: 01 January 2014
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• Akashdeep 2 &
• K. S. Kahlon 3  

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WiMAX is one of the latest broadband wireless technologies that supports applications like voice, video and surfing over very large geographical areas. WiMAX is seen as a technology that can solve the reachability problem in countries like India because of its wider reach. Connectivity and education is vital to any country to usher in economic growth, health care and improved entertainment services. Broadband wireless technologies like WiMAX have started providing cheap connectivity to schools and colleges. Telecommunication industry is also smart enough to quickly adapt to this new technology. In order to bridge the gap between industry and academia, there is a need for more flexible delivery and extensive study of such courses to satisfy the needs of telecommunication industry. The changing trends in telecommunication companies towards WiMAX deem it necessary to pod it to every engineering student. This paper presents a WiMAX hands-on lab for graduate and postgraduate students aimed to awaken students to this technology. The contents of lab have been designed based on the use of simulator like Qualnet, ns-2 or OPNET. We present a brief overview of experiments that can be performed on WiMAX using Qualnet and can be included in the subjects of wireless technologies. Learning outcomes of this lab are also presented.

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Optimized WiMAX Network Development in India: Specification and Implementation

Tools and Techniques for Teaching and Research in Network Design and Simulation

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UIET, Panjab University Chandigarh, Chandigarh, India

Department of CSE, Guru Nanak Dev University, Amritsar, India

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Akashdeep, Kahlon, K.S. (2015). WiMAX in Education: A Wireless Networking Lab Design. In: Natarajan, R. (eds) Proceedings of the International Conference on Transformations in Engineering Education. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1931-6_41

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Wimax :Its Features and Applications

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Wireless Networking has become an important area of research in industry and academics in recent years. The main objectives of this paper are to gain knowledge about the WiMAX technology, its security and application. WiMAX (Worldwide Interoperability for Microwave Access) technology is based upon the IEEE 802.16 standard (IEEE Wireless MAN Air Interface) which enables wireless broadband services anytime, anywhere. The WiMAX specification provides symmetrical bandwidth over large area and range with stronger encryption and typically less interference. WiMAX based system can be used to transmission of signal over maximum 50 km. WiMAX outdistances WiFi by miles. WiMAX can deliver high data rate to multiple users. The WiMAX Forum describes WiMAX as " a standards-based technology enabling the delivery of last-mile wireless broadband access as an alternative to cable and DSL ". The main goal/purpose of this technology is to deliver wireless communications with quality of service in a secured environment. This standard was developed to deliver line-of-sight (LoS) and non-line-of-sight (NLoS) wireless services between subscriber and base station and to address " last mile " problem.

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Chief E D I T O R IJRISAT

Through this paper we discusses the architecture, various standards applications and advantages of Wimax provided by developers who introduced the users across a broadband access services to solve barriers to adoption such as interoperability and cist of deployment.

International Journal of Engineering Research and Technology (IJERT)

IJERT Journal

https://www.ijert.org/a-study-on-broadband-wireless-access-wimax https://www.ijert.org/research/a-study-on-broadband-wireless-access-wimax-IJERTV2IS60883.pdf The IEEE 802.16 standard, commonly known as WIMAX is an emerging broadband wireless technology for providing large scale coverage and last mile solution for supporting higher bandwidth and multiple service classes with various quality of service (QoS) requirement. WIMAX networks are inherently simple, spectrally efficient and easy to deploy. WIMAX fixed and mobile broadband is already a reality that presents tremendous opportunity to new entrants. Because WIMAX is a cast effective, standard based wireless technology. In this paper we study on broadband wireless technology and its development.

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This paper presents the features of the Worldwide Interoperability for Microwave Access (WiMAX) technology and future applications of WiMAX. A discussion is given by comparing WIMAX with DSL(Digital subscriber line) & Cable and Wireless Fidelity(Wi-Fi). Several references have been included at the end of this paper for those willing to know in detail about certain specific topics

Abstract: WiMax, a broadband wireless access technology, is based on World Interoperability for Microwave access. It provides the last-mile solutions for different applications up to the maximum distance as compared to the other wireless technologies with better coverage and data rates. Basically, it is an IEEE 802.16 standard termed as a wireless MAN and the subset of this standard is 802.16a called as WiMax. It is developed by ETSI (European Telecommunication Standard Institute) offering data rate up-to 100Mbps and its transmission range is up-to 51km. WiMax, wireless MAN (Metropolitan Area Network), uses directional antennae to maximize the transmission range and coverage in LOS (Line of Sight) and NLOS (Non line of Sight). It uses both licensed and unlicensed frequency bands having spectrum range from 2GHz-66GHz. This innovative technology is used to provide broadband access with high data-rate for residential as well as enterprise use with low cost infrastructure. Both continuo...

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New transistor’s superlative properties could have broad electronics applications

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In 2021, a team led by MIT physicists reported creating a new ultrathin ferroelectric material, or one where positive and negative charges separate into different layers. At the time they noted the material’s potential for applications in computer memory and much more. Now the same core team and colleagues — including two from the lab next door — have built a transistor with that material and shown that its properties are so useful that it could change the world of electronics.

Although the team’s results are based on a single transistor in the lab, “in several aspects its properties already meet or exceed industry standards” for the ferroelectric transistors produced today, says Pablo Jarillo-Herrero, the Cecil and Ida Green Professor of Physics, who led the work with professor of physics Raymond Ashoori. Both are also affiliated with the Materials Research Laboratory.

“In my lab we primarily do fundamental physics. This is one of the first, and perhaps most dramatic, examples of how very basic science has led to something that could have a major impact on applications,” Jarillo-Herrero says.

Says Ashoori, “When I think of my whole career in physics, this is the work that I think 10 to 20 years from now could change the world.”

Among the new transistor’s superlative properties:

• It can switch between positive and negative charges — essentially the ones and zeros of digital information — at very high speeds, on nanosecond time scales. (A nanosecond is a billionth of a second.)
• It is extremely tough. After 100 billion switches it still worked with no signs of degradation.
• The material behind the magic is only billionths of a meter thick, one of the thinnest of its kind in the world. That, in turn, could allow for much denser computer memory storage. It could also lead to much more energy-efficient transistors because the voltage required for switching scales with material thickness. (Ultrathin equals ultralow voltages.)

The work is reported in a  recent issue of Science . The co-first authors of the paper are Kenji Yasuda, now an assistant professor at Cornell University, and Evan Zalys-Geller, now at Atom Computing. Additional authors are Xirui Wang, an MIT graduate student in physics; Daniel Bennett and Efthimios Kaxiras of Harvard University; Suraj S. Cheema, an assistant professor in MIT’s Department of Electrical Engineering and Computer Science and an affiliate of the Research Laboratory of Electronics; and Kenji Watanabe and Takashi Taniguchi of the National Institute for Materials Science in Japan.

What they did

In a ferroelectric material, positive and negative charges spontaneously head to different sides, or poles. Upon the application of an external electric field, those charges switch sides, reversing the polarization. Switching the polarization can be used to encode digital information, and that information will be nonvolatile, or stable over time. It won’t change unless an electric field is applied. For a ferroelectric to have broad application to electronics, all of this needs to happen at room temperature.

The new ferroelectric material  reported in Science in 2021 is based on atomically thin sheets of boron nitride that are stacked parallel to each other, a configuration that doesn’t exist in nature. In bulk boron nitride, the individual layers of boron nitride are instead rotated by 180 degrees.

It turns out that when an electric field is applied to this parallel stacked configuration, one layer of the new boron nitride material slides over the other, slightly changing the positions of the boron and nitrogen atoms. For example, imagine that each of your hands is composed of only one layer of cells. The new phenomenon is akin to pressing your hands together then slightly shifting one above the other.

“So the miracle is that by sliding the two layers a few angstroms, you end up with radically different electronics,” says Ashoori. The diameter of an atom is about 1 angstrom.

Another miracle: “nothing wears out in the sliding,” Ashoori continues. That’s why the new transistor could be switched 100 billion times without degrading. Compare that to the memory in a flash drive made with conventional materials. “Each time you write and erase a flash memory, you get some degradation,” says Ashoori. “Over time, it wears out, which means that you have to use some very sophisticated methods for distributing where you’re reading and writing on the chip.” The new material could make those steps obsolete.

A collaborative effort

Yasuda, the co-first author of the current Science paper, applauds the collaborations involved in the work. Among them, “we [Jarillo-Herrero’s team] made the material and, together with Ray [Ashoori] and [co-first author] Evan [Zalys-Geller], we measured its characteristics in detail. That was very exciting.” Says Ashoori, “many of the techniques in my lab just naturally applied to work that was going on in the lab next door. It’s been a lot of fun.”

Ashoori notes that “there’s a lot of interesting physics behind this” that could be explored. For example, “if you think about the two layers sliding past each other, where does that sliding start?” In addition, says Yasuda, could the ferroelectricity be triggered with something other than electricity, like an optical pulse? And is there a fundamental limit to the amount of switches the material can make?

Challenges remain. For example, the current way of producing the new ferroelectrics is difficult and not conducive to mass manufacturing. “We made a single transistor as a demonstration. If people could grow these materials on the wafer scale, we could create many, many more,” says Yasuda. He notes that different groups are already working to that end.

Concludes Ashoori, “There are a few problems. But if you solve them, this material fits in so many ways into potential future electronics. It’s very exciting.”

This work was supported by the U.S. Army Research Office, the MIT/Microsystems Technology Laboratories Samsung Semiconductor Research Fund, the U.S. National Science Foundation, the Gordon and Betty Moore Foundation, the Ramon Areces Foundation, the Basic Energy Sciences program of the U.S. Department of Energy, the Japan Society for the Promotion of Science, and the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan.

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Researchers develop state-of-the-art device to make artificial intelligence more energy efficient

Energy consumption from artificial intelligence could be reduced by a factor of at least 1,000 with this device

MINNEAPOLIS / ST. PAUL (07/25/2024) — Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.

The research is published in  npj Unconventional Computing , a peer-reviewed scientific journal published by Nature. The researchers have multiple patents on the technology used in the device. 

With the growing demand of AI applications, researchers have been looking at ways to create a more energy efficient process, while keeping performance high and costs low. Commonly, machine or artificial intelligence processes transfer data between both logic (where information is processed within a system) and memory (where the data is stored), consuming a large amount of power and energy. 

A team of researchers in the University of Minnesota College of Science and Engineering demonstrated a new model where the data never leaves the memory, called computational random-access memory (CRAM).  

“This work is the first experimental demonstration of CRAM, where the data can be processed entirely within the memory array without the need to leave the grid where a computer stores information,” said Yang Lv, a University of Minnesota Department of Electrical and Computer Engineering postdoctoral researcher and first author of the paper.

The International Energy Agency (IEA) issued a  global energy use forecast in March of 2024, forecasting that energy consumption for AI is likely to double from 460 terawatt-hours (TWh) in 2022 to 1,000 TWh in 2026. This is roughly equivalent to the electricity consumption of the entire country of Japan. 

According to the new paper’s authors, a CRAM-based machine learning inference accelerator is estimated to achieve an improvement on the order of 1,000. Another example showed an energy savings of 2,500 and 1,700 times compared to traditional methods.

This research has been more than two decades in the making,

“Our initial concept to use memory cells directly for computing 20 years ago was considered crazy” said Jian-Ping Wang, the senior author on the paper and a Distinguished McKnight Professor and Robert F. Hartmann Chair in the Department of Electrical and Computer Engineering at the University of Minnesota. 

“With an evolving group of students since 2003 and a true interdisciplinary faculty team built at the University of Minnesota—from physics, materials science and engineering, computer science and engineering, to modeling and benchmarking, and hardware creation—we were able to obtain positive results and now have demonstrated that this kind of technology is feasible and is ready to be incorporated into technology,” Wang said.

This research is part of a coherent and long-standing effort building upon Wang’s and his collaborators’ groundbreaking, patented research into Magnetic Tunnel Junctions (MTJs) devices, which are nanostructured devices used to improve hard drives, sensors, and other microelectronics systems, including Magnetic Random Access Memory (MRAM), which has been used in embedded systems such as microcontrollers and smart watches. 

The CRAM architecture enables the true computation in and by memory and breaks down the wall between the computation and memory as the bottleneck in traditional von Neumann architecture, a theoretical design for a stored program computer that serves as the basis for almost all modern computers.

“As an extremely energy-efficient digital based in-memory computing substrate, CRAM is very flexible in that computation can be performed in any location in the memory array. Accordingly, we can reconfigure CRAM to best match the performance needs of a diverse set of AI algorithms,” said Ulya Karpuzcu, an expert on computing architecture, co-author on the paper, and Associate Professor in the Department of Electrical and Computer Engineering at the University of Minnesota. “It is more energy-efficient than traditional building blocks for today’s AI systems.”

CRAM performs computations directly within memory cells, utilizing the array structure efficiently, which eliminates the need for slow and energy-intensive data transfers, Karpuzcu explained.

The most efficient short-term random access memory, or RAM, device uses four or five transistors to code a one or a zero but one MTJ, a spintronic device, can perform the same function at a fraction of the energy, with higher speed, and is resilient to harsh environments. Spintronic devices leverage the spin of electrons rather than the electrical charge to store data, providing a more efficient alternative to traditional transistor-based chips.

Currently, the team has been planning to work with semiconductor industry leaders, including those in Minnesota, to provide large scale demonstrations and produce the hardware to advance AI functionality.

In addition to Lv, Wang, and Karpuzcu, the team included University of Minnesota Department of Electrical and Computer Engineering researchers Robert Bloom and Husrev Cilasun; Distinguished McKnight Professor and Robert and Marjorie Henle Chair Sachin Sapatnekar; and former postdoctoral researchers Brandon Zink, Zamshed Chowdhury, and Salonik Resch; along with researchers from Arizona University: Pravin Khanal, Ali Habiboglu, and Professor Weigang Wang

This work was supported by grants from the U.S. Defense Advanced Research Projects Agency (DARPA), National Institute of Standards and Technology (NIST), the National Science Foundation (NSF), and Cisco Inc. Research including nanodevice patterning was conducted in collaboration with the Minnesota Nano Center and simulation/calculation work was done with the Minnesota Supercomputing Institute at the University of Minnesota.

To read the entire research paper entitled, “Experimental demonstration of magnetic tunnel junction-based computational random-access memory,” visit the  npj Unconventional Computing website.  

Rhonda Zurn, College of Science and Engineering,  [email protected]

University Public Relations,  [email protected]

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