BMW Lab Brief Introduction
The Broadband Multimedia and Wireless Research Laboratory (BMW Lab) is within the Department of Electronic and Computer Engineering at the National Taiwan University of Science and Technology. BMW Lab focuses on the applied research to meet the future requirements of the wireless industry.
Wireless, broadband and multimedia communications are the three main pillar developments in recent years. High-speed transmission, broadband anywhere, and digital audio and video multimedia services to support and enhance your daily life activities are the main goal for these technologies. Here in BMW Lab, we conduct research in Protocol Design and Performance Evaluation of LTE-Advanced Cellular Networks, Machine-to-Machine Communication (M2M) / Internet of Things (IoT), and Device-to-Device Communications. Now we are expanding our research in Information-Centric Networking (ICN), Software Defined Networking (SDN), and Network Function Virtualization (NFV).
Students may learn background knowledge and hands-on experience of wireless communication networks. BMW Lab collaborate with Universities, they are Czech Technical University in Prague (Czech Republic), Kyushu University (Japan), and Rochester Institute of Technology (USA), with Research Institutes: Industrial Technology of Research Institute (ITRI), Institute for Information Industry (III) and with a company: Lanner.
With these knowledge and experiences, our graduates can find a job in chipset vendors such as Broadcom, Intel, Media Tek, in mobile communication operators such as Chunghwa Telecom, Far East Tone, in solution providers such as Accton, Acer, Advantech, ASUS, Emerson, Gemtek, Foxconn, IBM, Quanta, and Zyxel, and in research institute like Institute for Information Industry (III).
Our laboratory interests include protocol design for wireless networks, performance analysis and optimization. Current research mainly focuses on machine-type communications; and enabling technologies for Internet-of-Things (IoT). The aim of machine-type communications is to design optimized random access protocols and resource allocation for random access channels in order to support the diverse requirements of the application scenarios of massive machine-type communications and ultra-reliable and low-latency communications considered in IMT-2020. We adopt the access technologies of LoRa and NB-IoT; and the management platform of Thingworx to construct and integrate different IoT services.
Related Recent Research Topics
Our laboratory on-going research topics include “Key Technologies of the 5G Cellular Network Supporting Massive Machine-type Communications and Ultra-low latency Communications,” “Analysis and Research of Open Platform Architecture for Next Generation Cellular Access Networks,” and “IoT Access Technology and Management Platform.”
- Key Technologies for 5G Networks Supporting Machine-type Communications
- Open Platform Architecture for Next Generation Cellular Access Networks
- IoT Access Technology and Management Platform
‘Massive Machine Type Communications,’ and ‘Ultra-Reliable and Low Latency Communications,’ which cover two important application domains of Interne-of-Things (IoT) but with quite different natures, are two IMT 2020 use case scenarios for 5G networks. Machine devices normally stay in idle mode and transmit small data infrequently. In LTE-A network, idle mode devices should perform random access procedure before transmitting data packets. Therefore, it is expected that the random access procedure will play an important role on the optimization of 5G system supporting IoT services.
This research aims to develop three key technologies related to the random access procedure, which include optimized random access protocol, dynamic resource allocation for the random access channels, and efficient small data transmission, to support new massive machines and low latency requirements for the IoT scenarios. In the first year, we will design and analyze algorithms for devices to select the best small-data-transmission scheme for maximizing the transmission-efficiency or energy-efficiency based on a number of given conditions (e.g., data volume, estimated load of RACH, expected traffic pattern of the service). In the second year, the analytical model and feasibility studies of a Distributed Queueing Random Access (DQRA) Protocol will be presented. Based on the studies, we will design an enhanced random-access protocol to reduce the channel access delay and implement the protocol on top of existing LTE-A random access procedure. In the third year, we will design and analyze dynamic random-access opportunities (RAO) allocation algorithms for existing LTE-A and the proposed enhanced random access procedures, respectively. The performance of the proposed algorithms will be verified by the proposed analytical models and computer simulations.
Narrowband Internet of Things (NB-IOT) is an alternative solution proposed by 3GPP to support mMTC services, as a competitor of low-power wide area network (LPWAN) solutions such as LoRa and SIGFOX. This project aims to develop the key medium access control (MAC) modules to implement the NB-IOT MAC protocol for NB-IOT eNB. The Layer 2 and 3 protocols of NB-IOT, however, are developed based on LTE. Hence, we utilizes EURECOM’s open source project named OpenAirInterface (OAI) as a reference to explore the details of LTE protocols and their implementation concepts and speed up the development process.
There are three main themes in this research. The first part is to study and implement the NB-IOT eNB MAC protocol based on 3GPP R-13 standard. The second is to build up the background knowledge and implementation technique related to 3GPP upper-layer protocols based on OAI. The third part is related to the project management and the usage of specification description language (SDL) tool to ensure a better software development process.
LoRa is a candidate of low-power wide-area access technology for building smart city. Thingworx is a public tool that can be used to build up the backend management platform for IoT applications. This research aims to apply LoRa and Thingwork to build up a wide range of IoT applications. We build up our own LoRa experimental network and use Thingworx to integrate and manage standard LoRaWAN and proprietarily LoRa networks. We further use Thingworx to build up the management systems for different IoT applications such as car management, solar-power plant, and street-light management.
Experience sharing by degree students
|Ruki Harwahyu||UI/TaiwanTech Master Dual Degree
from 2012/09 to 2013/07
|Al-Taee Firas||TaiwanTech Master Degree
from 2011/09 to 2013/06