"research": [ {"id": "QoE", "shortTitle": "QoE for Wireless Network", "topic": "Quality of experience research for wireless network", "detail": "

A human centric methodology is proposed for optimizing future wireless networks toward delivering higher user capacity to serve more users and also deliver enhanced quality of experience (QoE) for next-generation wireless systems. Especially for next generation wireless system, Uniform Connectivity Experience (UCE) on different user involved devices is highly addressed. The proposed methodology comprises major sub-areas: (1) activity oriented QoE requirement analysis, (2) user centered psychological experiment and behavioral observation, (3) multi-dimensional QoE measurement and modeling, and (4) QoE-aware wireless network design. A brief overview of our research methodology in this area is stated as follows.

(1) Activity oriented QoE requirement analysis
User's daily use of wireless device and applications is taken in to consideration in the QoE improvement process. Multi-dimensional activity factors includes user context gender difference, device types, application genres, social networking, physiological limitation, cultural factors will be carefully investigated.

(2) User centered psychological experiment and behavioral observation
To realize user's feedback (such as intention, emotional arousal, cognitive process, and behavioral change... etc.) under different wireless setting, a series of psychological experiment and behavioral observation is implemented. Statistical approach is used for analyzing user's data and extract the behavioral pattern and mechanism behind user's feedback.

(3) Multi-dimensional QoE metrics measurement and modeling
A user utility function quantifying relationship between QoE and QoS is actionable to improve wireless system design. The user utility function can also capture user's satisfaction for different services. Simulations for wireless applications is also carried out for validating and verifying the proposed utility function.

(4) QoE-aware wireless network design
QoE-QoS trade-off framework is proposed to ensure optimal user satisfaction at all conditions. Statistical method, optimization algorithm, and heuristics is extensively adopted to solve the trade-off user QoE problems.

", "image": "image/research/qoe.png"}, {"id": "game", "shortTitle": "Game for Wireless Network", "topic": "Game theoretic research for wireless network", "detail": "Game theoretic concepts have been widely adopted to solve problems exist in wireless networks nowadays. In modern distributed protocols, nodes must decide ways to allocate the resources, and these decisions occasionally affect others. Game theory then comes into play to generalize their interactions. In general, if a wireless communication problem involves more than one agent, the problem is apt for being modeled as a game. Many microcosmic properties from the model can help the engineers to get insights of the systems.", "image": "image/research/research_2.png"}, {"id": "LTE5G", "shortTitle": "5G & LTE-A & WiMAX", "topic": "LTE-A & WiMAX standard", "detail": "LTE-A and WiMAX are the candidates for the next-generation wireless communication system. Growing with the standard, a stable and sound standardization process has been established for both the LTE-A and WiMAX. We have a research team following the most recent development status of the two standards. In addition to attend the standardization meetings, we also provide contribution documents to the standard. MAC layer concept and system design are our major focuses. The system structure and MAC layer protocols are studied and discussed. If there are possible enhancements for the system, we will propose the idea as contributions at the standard meeting. Solid contributions and substantial system study records have been made for these two standards.", "image": "image/research/research_3-2.png"}, {"id": "SDR", "shortTitle": "Testbed with SDR", "topic": "Cognitive Experimental Testbed with Software Defined Radio", "detail": "Universal Software Radio Peripheral (USRP) is taken to turn general-purpose computer into a flexible Software Defined Radio (SDR) platform, so that we can reconfigure digitized radio signal in the software domain. By the nature of flexibility, a number of USRP nodes are included to construct a wireless network testbed, so that it can facilitate a broad range of experimental research on a variety of application concepts. The testbed bridges theoretical and simulation results with real-world feasibilities, and currently developed as a Cognitive Radio (CR) platform to realize cross-layer cognitive protocol stacks.", "image": "image/research/research_4-1.png"}, {"id": "WLAN", "shortTitle": "802.11 WLAN", "topic": "Next-generation 802.11 WLAN", "detail": "IEEE 802.11 WLAN standard is one of the most successful technologies for local wireless network. It meets the general requirements of people's daily usage with relatively low cost equipments. Our lab engages in the improvements enrolled into the next-generation IEEE 802.11 standards, which focus on the requirements of advance features like ultra high throughput transmission and high-definition video broadcasting. In addition, we also consider the possibility of cross-layer design in IEEE 802.11 networks. We are addressing several challenges in this area, such as multi-user access control, TCP traffic-aware transmissions and content-aware packet prioritization. The objective of our researches is to improve the next-generation IEEE 802.11 WLAN standard to catch up the growing needs of high-quality and high-density communications.", "image": "image/research/research_5.png"}, {"id": "LTE5G", "shortTitle": "5G & LTE-A & WiMAX", "topic": "IEEE 1935", "detail": "Edge computing as an emerging technology that can host the mobile applications closer to its users, provides lower latency, higher efficient bandwidth and service delivery, as well as better user quality of experience. The innovative mobile applications, such as augmented reality, facial detection, and interactive applications, evolve as mobile devices and attract great attention due to their ability to bring convenience and spice up people’s lives. With a core concept similar to edge computing of placing the computing capacity at the local area network, fog computing is more often used in Industrial Internet of Things (IIoT) scenarios. Coming up as a modern solution to catch up with such needs, edge/fog computing is a brand-new and promising paradigm to offer an environment characterized by low latency and necessary resources for mobile devices to liberate them from the computing-intensive and real-time applications.", "image": "image/research/rp1935_logo.png"}, ]