Copyright © 2011 VehiCom. All rights reserved. Last updated on October,  2011

A tutorial accepted at the IEEE CCNC 2012, Instructor: Weidong Xiang

High-speed at high-speed: Research and Prototyping Activities of Long Term Evolution (LTE) and Wireless Access for Vehicular Environments (WAVE) Systems Applied to Vehicles and High-Speed Trains

22860000 22860000 (`@````````` 266 263 5 110185200 110185200   

1. A tutorial accepted at the IEEE CCNC 2012, Instructor: Weidong Xiang

Abstract: In this tutorial, we will share our leading-edge and unique experience on the research and prototyping of LTE and WAVE systems applied to both vehicular networks and high-speed train applications. The contents will cover latest progress in related areas ranging from channel modeling, baseband algorithms, prototyping and vehicular network simulator, system level channel emulator and field testing, all upon our recent research projects funded by NSF and CISCO Research Grant and an ongoing project of TD-LTE prototyping for high-speed trains supported by the China Government. At first, we will model the doubly selective channels in high mobility environments, which has not yet been well studied in the past literature. Both SISO and MIMO channels models, spatial and temporal attributes of channels and Doppler shift and spectrum will be studied, upon which innovative baseband algorithms will be invented to respond to the technical challenges arisen from fast time‐varying channels. Moreover, system level simulation built upon Matlab and C/C++ will be presented to evaluate the performance of LTE and WAVE systems.

Next, we will present the prototyping activities on LTE and WAVE systems based on field programmable gate array (FPGA) and DSP development boards and the implementation of real time baseband function blocks featuring with dedicated algorithms for high‐speed vehicles and trains. Associated field testing and experiment results will be thereafter reported and analyzed. The prototype can be used as functional onboard units (OBU) and roadside units (RSU) as well as the reference for next step specific integration circuits (ASIC) chip design.

After that, we will introduce a vehicular network simulator (VNS) that integrates TIGER database, channel models, OFDM format signals, MAC and network protocols, traffic models and driver behaviors. Down to the earth, the VNS that will be presented is one of the first simulation programs built upon from physical layer and capable of offering the parameters of coverage, channel fading, bit error rate (BER), packet error rate (PER), and packet latency as well as testing various protocols, schemes and applications.

In addition, we will present a channel emulator developed to emulate a moderate scale vehicular network by connecting tens of vehicles each having a MIMO configuration. Such a channel emulator is currently not available from both academy and industry but is highly in need in order to build up a controllable, cost efficiency and high confidence vehicular networks emulator upon hardware, instead of simulation, for both research and engineering purposes. Finally, we will update the status of several ongoing projects related to TD‐LTE for for high-speed trains and WAVE prototyping and field testing.

h-speed trains and WAVE prototyping and field testing.

A Patent, Inventor: Weidong Xiang

 

 Enhanced Carrier Frequency Estimator

2.  Patent: Enhanced Carrier Frequency Estimator, Inventor: Weidong Xiangehicular Environments (WAVE) Systems Applied to Vehicles an

Abstract: A method is provided for estimating a frequency offset in a carrier signal caused by the Doppler effect. The method determines a frequency offset estimate by utilizing a multi stage estimation scheme. More specifically, the method determines the frequency offset estimate of a data frame by iteratively estimating the frequency offset by comparing different portions of the preamble. As the length of the sampled patterns varies, the frequency offset estimates vary in accuracy and range. The method may adjust frequency offset estimates that are out of range. Finally, the receiver obtains a frequency offset estimate for the data frame from a weighted combination of frequency offset estimates. This method is applicable in WiFi (IEEE 802.11a/g), WiMax (IEEE 802.16), and WAVE (IEEE 802.11p) systems

Read more: http://www.faqs.org/patents/app/20090080576#ixzz1busvSNEN

 

 

 

 

 

 

 

 

 

 

 

System Highlights

1. A tutorial on the IEEE CCNC 2012

2. A patent for Doppler shift detection and compensation for high mobility environments including vehicle applications and high-speed trains.

3. 

4.