Achieving Low Un-Coded BER for Nano Molecular Communications
Dr. Walid Ahmed
Co-Contributors:
Ghalib Alshammri, Student Member IEEE
Mohamed Alzaidi, Student Member IEEE
Dr. Victor Lawrence, Fellow IEEE
Electromagnetic and acoustic propagation have been centric to traditional communications systems. However, for some propagation media, EM and acoustic waves do not propagate effectively due to severe obstruction or path loss. Examples of non-friendly media include various types of fluids, biological bodies and tissue-based environments. Nano-molecular communications has been emerging mechanism for intra-body communications that has been attracting growing attention in the research community. Molecular communications is based on communicating information in a manner inspired by chemical signaling that naturally occurs in our bodies, for example. Information can be exchanged by releasing amounts of molecules of certain types that diffuse into a fluid (e.g., blood stream) or gaseous medium and ultimately propagate to reach a desired receiver that can detect such molecules and determines the information content from the pattern and amount of the received molecules. Molecular communications offer a viable link for very short distances of the order of nano-meters. Furthermore, molecular communications is envisioned to be a good candidate for a variety of applications such as biomedical industrial and environmental applications.
In this talk, we provide an introduction to molecular communications research and advancements. In addition, we present results of our recent research on over-coming inter-symbol-interference (ISI) and achieving low un-coded BER for on-off-keying over diffusive molecular media using novel low-complexity techniques. Some of the approaches we present include simplified artificial intelligence techniques based on adaptive fuzzy-threshold detection, adaptive multivariate polynomial neuro-Fuzzy detection, as well as multi-layer sub-optimal entropy and correlation detection approaches. Our detection methods have been able to achieve un-coded BER levels down to 10-6 at signal-to-noise ratios where traditional threshold detection achieves worse than10-2.
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- Date: 28 Nov 2018
- Time: 06:30 PM to 08:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- 101 Crawfords Corner Road
- Holmdel, New Jersey
- United States 07733
- Building: Bell Works
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- Co-sponsored by CH01253AES10 / TEM14 Chapter
- Starts 03 November 2018 09:00 AM
- Ends 27 November 2018 12:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Dr. Walid Ahmed
Achieving Low Un-Coded BER for Nano Molecular Communications
Co-Contributors:
Ghalib Alshammri, Student Member IEEE
Mohamed Alzaidi, Student Member IEEE
Dr. Victor Lawrence, Fellow IEEE
Biography:
Dr. Ahmed is a distinguished industry expert and a technical business leader with more than 25 years of experience in wireless and digital communications, communications theory, digital signal processing, transceiver design and telecommunications networks. He held senior technical and management positions with major enterprises in the telecommunications industry including Verizon Wireless, Broadcom, Qualcomm, Bell Laboratories (Lucent Technologies), M/A-COM (Tyco Electronics) and Bell Northern Research (Nortel Technologies). Throughout his career, he delivered many novel solutions, designs and innovations from concept to implementation into various products that shipped in mass world-wide, and championed the bringing of many ideas from theory/research to practical implementation and productization. He has significantly contributed to product development at various major enterprises in the telecommunications industry, where his innovative solutions and designs have been legacy modules in products that have been in mass production for years, and spanning a broad spectrum of areas ranging from pioneering contributions to battlefield and military network design, to breakthrough cellular base-station and handset-transceiver RF and modem design. He holds 53 patents to-date, issued in the US and internationally, and has many patents pending. He published more than 80 original research articles and received over 75 awards and recognitions, including several IEEE and international best paper awards, honorary research and technical/industry recognitions and major fellowships and scholarships. Dr. Ahmed is a respected research scientist with international stature and an academic who has been serving as an adjunct research, Graduate/PhD advisor and teaching professor at major universities for more than 25 years. He is a Green Belt Six Sigma. Dr. Ahmed Nominated to the IEEE Fellow honor in 2015 and was a recipient of the IEEE 2012 R1 Technology Innovation Award, "for fundamental contributions to the design and theory of wireless communications devices and architectures".