Shu (Marloon) Wang

[Understanding Hierarchical Modulations: II Effective SNR] [Understanding Hierarchical Modulations: III Modulation Efficiency] "Optimizing Enhanced Hierarchical Modulations," IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, New Orleans, LO, 2008, pp. 1-5 [How to Broadcast Multimedia Contents? II Lessons from The Channel] [How to Broadcast Multimedia Contents? IV Hierarchical Modulation] [How to Broadcast Multimedia Contents? V Overloaded Transmission and IC] [How to Broadcast Multimedia Contents? VI Open-Loop MIMO for BCMCS] [How to Broadcast Multimedia Contents? VII Network Layer or Steam Layer Design] Hierarchical modulation, also called layered modulation, is one of the techniques for multiplexing multiple data streams and modulating them into one single symbol stream, where the base-layer symbols and enhancement-layer symbols are superimposed before being transmitted. When hierarchically modulated signals are transmitted, users with good

For more information and the latest news on COVID-19 be sure to check out the site Coronavirus.gov Covid-19 Explained: How It Spreads and How to Stay Safe https://www.cnn.com/videos/politics/2020/03/20/coronavirus-symptoms-spread-treatment-health-cnngo-explainer-orig-vf.cnn Educational video from CNN and hosted by Dr. Sanjay Gupta, a neurosurgeon, professor and Chief Medical Correspondent for CNN. The Science Behind the Coronavirus A special series from the Los Angeles Times and is hosted by Dr. Patrick Soon-Shiong, the owner of the Los Angeles Times. Dr. Soon-Shiong is a surgeon and scientist who has spent his career studying the human immune system to fight cancer and infectious diseases. What is Social Distancing? A promotional video presented by Dr. Anthony Fauci, Dr. Deborah Birx, and U.S. Surgeon General Jerome Adams explains this important new social standard.  It is known that Apple is now promoting the video on iTunes and Apple Music.

[Tutorial in IEEE International Conference on Communications (ICC) 2008] [Location Based Services for Mobiles II: GPS, Assisted GPS and Network Assisted GPS] [How to Improve Forward Link Positioning ... ? I. Introduction] [How to Improve Forward Link Positioning ... ? II. Hearability and Accuracy] [1x HDP Enhancements] [Enhanced Location Based Services Support in cdma2000] [IEEE C802.16m-08/1106 Enhance Downlink Positioning in WiMAX/16m] [IEEE C802.16m-08/1105 Network Assisted GPS (N-GPS) Positioning in WiMAX/16m] The GNSS research institutes and academics have been looking for a stable and workable open source measurement engines and positioning engines for a long time.  Regarding positioning engines, it seems that  Tomoji Takasu 's open source RTKLIB  pretty much is the de facto standard reference and baseline.  At the same time, there are also many positioning engine options, such as GNSS-SDR  by  CTTC , GNSS-SDRLIB  by Prof. Taro Suzuki , GPS Matlab Tools by Pro

[Tutorial in IEEE International Conference on Communications (ICC) 2008] [Location Based Services for Mobiles II: GPS, Assisted GPS and Network Assisted GPS] [How to Improve Forward Link Positioning ... ? I. Introduction] [How to Improve Forward Link Positioning ... ? II. Hearability and Accuracy] [1x HDP Enhancements] [Enhanced Location Based Services Support in cdma2000] [IEEE C802.16m-08/1106 Enhance Downlink Positioning in WiMAX/16m] [IEEE C802.16m-08/1105 Network Assisted GPS (N-GPS) Positioning in WiMAX/16m] Satellites based positioning and navigation are widely believed to be the cornerstone for emerging autonomous driving and IoT (internet of things) services. However, traditional GNSS receiver architectures can hardly meet many mission critical demands, including better than -170 dBm sensitivity, centimeter level accuracy, 100 Hz or higher update frequency, less than 1 watt power consumption, less than 1 second cold start TTFF, etc, particularly considering GNSS

IoT networks are expected to connect billions of devices in the next several years. One ambitious 5G requirement is to serve massive Internet of Things (IoT). Accordingly, it demands an ultra-low energy (10+ years of battery life), deep coverage and ultra-high density (~1 million nodes per sq. Km?). As such, 5G networks require each base station to be able to receive a high volume of access requests from end-device in a short period, say 30 minute.  Are these really necessary or even possible with the existing IoT technologies? Obviously these requirements are highly expected for the IoT networks operated in high population density cities, where a large portion of IoT end-devices will be deployed.  For example, as shown in the table below, the population density in Chennai, India is 25,854 per Km 2 . If in average it is assumed that one IoT device per capita and the coverage of one IoT base station is 4 Km in radius, the number of the served IoT devices per base station is ex

Access Channel Enhancements for 1x Rel. F One Eighth Rate Access Probes for Smart Terminals Evolve Random Access Channels for IoT: I Introduction Evolve Random Access Channels for IoT: III Slotted ALOHA Models Evolving Random Access Channel for IoT: IV Dumb Access Probes and Smart Access Probes The IoT traffic characteristics are known to be substantially different from those of smartphones. Mobile networks were traditionally designed and optimized to transport connection-oriented traffic, where each connection is expected to be continuous with low latency. On the other hand, many IoT services are intended to be of low throughput, short duration and delay tolerant and characterized to be “connectionless.” As such while the existing mobile network operators start studying and optimizing their networks to accommodate the dynamics of growing IoT traffic, some companies start developing possible alternatives for IoT services. Comparison of UL Access Probe Designs for IoT