Periodic Reporting for period 1 - SICIS (Secure Indoor Communication empowered by Intelligent reflecting Surface)
Reporting period: 2022-01-10 to 2024-01-09
In the publication, the technology of intelligent reflecting surface (IRS) is exploited in the scenarios including but not limited to indoor networks, aiming to improve the communication and secrecy performance.
The publication is important as:
1) The results improve the communication and secrecy performance for billions of low cost IoT nodes;
2) The methods prevent human communications from interception;
3) IRS-aided network performance optimization is required for both system development and network deployment in future secure and smart indoor communication networks.
The overall objective is to develop joint beamforming schemes or algorithms at both transmit antennas and IRS to maximize the communication and secrecy performance.
The publication is important as:
1) The results improve the communication and secrecy performance for billions of low cost IoT nodes;
2) The methods prevent human communications from interception;
3) IRS-aided network performance optimization is required for both system development and network deployment in future secure and smart indoor communication networks.
The overall objective is to develop joint beamforming schemes or algorithms at both transmit antennas and IRS to maximize the communication and secrecy performance.
There are 3 work packages (WPs) as described below.
WP1 Estimating and modelling indoor channels with IRS
TASK1.1(T1.1) CSI acquisition for IRS-aided secure indoor communications
T1.2 MIMO channel modelling for indoor environments with IRS
WP2 IRS-aided joint beamforming for secure indoor communications
T2.1 IRS-aided dead zone creating algorithms for interference and information interception
T2.2 IRS-aided secure transmission of multi-cell networks
WP3 Deployment optimisation for IRS-aided secure indoor communication networks
T3.1 System-level performance evaluation for IRS-aided secure indoor communication networks
T3.2 Deployment optimisation for IRS-aided secure indoor communication networks
Main results and their exploitation and dissemination include:
1) Four high impact publications in international journals of repute or flagship international conferences;
2) One special issue and two workshops;
3) A project website for dissemination is created
WP1 Estimating and modelling indoor channels with IRS
TASK1.1(T1.1) CSI acquisition for IRS-aided secure indoor communications
T1.2 MIMO channel modelling for indoor environments with IRS
WP2 IRS-aided joint beamforming for secure indoor communications
T2.1 IRS-aided dead zone creating algorithms for interference and information interception
T2.2 IRS-aided secure transmission of multi-cell networks
WP3 Deployment optimisation for IRS-aided secure indoor communication networks
T3.1 System-level performance evaluation for IRS-aided secure indoor communication networks
T3.2 Deployment optimisation for IRS-aided secure indoor communication networks
Main results and their exploitation and dissemination include:
1) Four high impact publications in international journals of repute or flagship international conferences;
2) One special issue and two workshops;
3) A project website for dissemination is created
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.
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.