Yishi Zhu 교수

The applications of Intelligent Transportation System (ITS) and autonomous driving in the 6G era heavily rely on the massive information exchange of ultra-wide bandwidth, high reliability, and low latency to guarantee the safety and experience. On the other hand, the signals in high frequency bands including millimeter wave and Terahertz (THz) can be easily blocked by the obstacles. To address this problem, Intelligent Reflecting Surface (IRS) has attracted a lot of attention since it allows for

Multi-access Edge Computing (MEC) has played an important role in realizing intelligent beyond 5G (B5G) vehicular networks. The computation tasks of intelligent applications can be offloaded to and processed by near-end-user MEC servers to meet strict latency requirements. However, the latency of provided services is dependent on MEC processor scheduling and millimeter wave (mmWave) transmission conditions for the urban B5G vehicular networks. To alleviate the mmWave signal attenuation caused by

As one of the typical applications in the 6G mobile network, autonomous driving will significantly benefit from the extremely high network throughput and capacity, and an increasing number of computation-aggressive tasks will be generated by vehicles and offloaded to edge and cloud servers. Since many tasks generated by vehicles are delay sensitive, it is of great importance to ensure the transmission rate and stability. However, signals transmitted with high-frequency bands, even the terahertz,

High accuracy and simultaneous positioning is an essential demand in future Intelligent Transportation Systems (ITS), while the mobility and dynamics of vehicles place great challenges. Single Base Station (BS) positioning has become popular for its fast speed, high convenience, and low cost. With the construction of 5G, the wide bandwidth and high separation capability of millimeter Wave (mmWave) bring more possibilities for vehicle positioning via single BS. However, mmWave signals have high d

The increasing number of vehicles on the road places high demands for autonomous driving in future intelligent transportation systems (ITSs). To realize automated services in ITSs, high-accuracy positioning is increasingly important, while positioning simultaneity for high-mobility vehicles should be guaranteed. Existing positioning systems have many constraints in locating vehicles in urban environments, making it difficult to meet the performance requirements. With the development of 6G, massi

Demands for high-speed wireless connectivity are pushing the boundaries of Wireless Local Area Networks (WLANs), prompting a transition towards Terahertz (THz) technology for 6G networks. THz technology is capable of supporting higher data rates and lower latency, enabling the miniaturization and denser placements of Access Points (APs), particularly in urban environments. Joint transmission strategies, coordinating data from multiple APs, can further improve THz network performance and reliabil

The demand for automation in Industry 4.0 is driving the growth of wireless Industrial Internet of Things (IIoT) devices. In smart manufacturing, maintaining high reliability and high throughput of Wireless Local Area Networks (WLANs) are equally important for ensuring production safety and efficiency. Terahertz (THz) communication offers high-data-rate and low-latency transmission but faces challenges from coverage and blockage issues. Multi-Access Point (AP) joint transmission allows multiple

The Internet of Things (IoT) Network brings more possibilities and connections to indoor scenarios. With the growing number of mobile devices and online services, indoor wireless networks are required to achieve higher speed and capacity for carrying the exponentially increasing amount of data. The Tera-hertz (THz) communication, with its large spectrum resources, is considered to be the main technology to achieve ultra-high-speed wireless communications in the 6G era. However, THz signals are s