The work includes but is not limited to:
1) We firstly propose an intelligent reflecting surface (IRS) backscatter based uplink coordinated transmission strategy for a radio cellular network, where IRS serves as a transmitter enabling uplink transmission from each user to the associated base station.
2) We firstly propose an IRS-enhanced downlink cell-free MIMO network, which can maximize the sum rate of all the users by jointly optimizing the transmit beamforming at the BSs and the reflection coefficients at the IRS.
3) We firstly propose to leverage IRS to realize radio-frequency-chain-free uplink-transmissions (RFCF-UT) for an integrated sensing, communication and computation system.
4) We firstly propose to employ IRS as an information medium to display a microwave quick response (QR) code for Internet-of-Things applications, where an IRS is used to form a dynamic bitmap image thanks to its tunable elements.
5) We firstly propose a scheme of artificial noise (AN)-masked microwave QR code, where a two-dimensional AN image is adopted to mask the QR code information on the reflection elements of IRS as the information source. Meanwhile, a legitimate transceiver transmits a radio frequency signal and then receives its echo signal to acquire the QR code information, in presence of a passive eavesdropper.
The project is expected to have the following impacts. 1) Scientific impact: The project will promote inter-disciplinary research and create a wealth of research opportunities. 2) Economic impact: The project will create new jobs, for example, software developers, researchers and consultants for IRS-aided communication system. 3) Societal impact: The project will achieve high-quality communication services for people, which will in turn improve work efficiency, business performance and interpersonal relationship.
