Beyond Intelligent Reflecting Surfaces: Reflective-Transmissive Metasurface Aided Communications for Full-Dimensional Coverage Extension

In this paper, we study an intelligent omni-surface (IOS)-assisted downlink communication system, where the link quality of a mobile user (MU) can be improved with a proper IOS phase shift design. Unlike the intelligent reflecting surface (IRS) in most existing works that only forwards the signals in a reflective way, the IOS is capable to forward the received signals to the MU in either a reflective or a transmissive manner, thereby enhancing the wireless coverage. We formulate an IOS phase shift optimization problem to maximize the downlink spectral efficiency (SE) of the MU. The optimal phase shift of the IOS is analysed, and a branch-and-bound based algorithm is proposed to design the IOS phase shift in a finite set. Simulation results show that the IOS-assisted system can extend the coverage significantly when compared to the IRS-assisted system with only reflective signals.

[1]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[2]  Chau Yuen,et al.  Intelligent Reflecting Surface: Practical Phase Shift Model and Beamforming Optimization , 2019, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[3]  Hari Balakrishnan,et al.  RFocus: Practical Beamforming for Small Devices , 2019, ArXiv.

[4]  Qiang Cheng,et al.  Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement , 2019, IEEE Transactions on Wireless Communications.

[5]  Zhu Han,et al.  Reconfigurable Intelligent Surfaces Assisted Communications With Limited Phase Shifts: How Many Phase Shifts Are Enough? , 2020, IEEE Transactions on Vehicular Technology.

[6]  Zhu Han,et al.  Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-User Communications: Achievable Rates With Limited Discrete Phase Shifts , 2019, IEEE Journal on Selected Areas in Communications.

[7]  Candice King,et al.  Fundamentals of wireless communications , 2013, 2013 IEEE Rural Electric Power Conference (REPC).

[8]  C. Pfeiffer,et al.  Metamaterial Huygens' surfaces: tailoring wave fronts with reflectionless sheets. , 2013, Physical review letters.

[9]  Chau Yuen,et al.  Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication , 2018, IEEE Transactions on Wireless Communications.

[10]  Zhu Han,et al.  Practical Hybrid Beamforming With Finite-Resolution Phase Shifters for Reconfigurable Intelligent Surface Based Multi-User Communications , 2020, IEEE Transactions on Vehicular Technology.

[11]  Geoffrey Ye Li,et al.  Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities , 2020, IEEE Transactions on Cognitive Communications and Networking.

[12]  Mohamed-Slim Alouini,et al.  Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come , 2019, EURASIP Journal on Wireless Communications and Networking.

[13]  Zhu Han,et al.  Reconfigurable Intelligent Surfaces based Radio-frequency Sensing: Design, Optimization, and Implementation , 2019 .