IRS-Enabled Beam-Space Channel

A model for intelligent reflecting surface (IRS)- enabled beam-space channel is proposed in this paper. Instead of treating IRS as a node in the middle and creating an additional burden of estimating two additional channels, the developed model shows that IRS is just part of the channel acting as a controlled scattering cluster reflecting its own multipath components (MPCs). An antenna segmentation method is proposed to fit IRS in the developed far-field model and show the characteristics of its MPCs and how they can be controlled. To maximize the received signal power, a cascaded beamforming scheme is next proposed. In this scheme, the number of transmitter antenna elements that should be activated is derived in terms of IRS angular span and beamforming at the receiver. Simulation results show that even with the possibility of using more elements, using less number of them gives significant improvement for large IRSs at close distances.

[1]  Theodore S. Rappaport,et al.  Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design , 2015, IEEE Transactions on Communications.

[2]  Lajos Hanzo,et al.  Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget , 2018, IEEE Communications Surveys & Tutorials.

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

[4]  Ian F. Akyildiz,et al.  A New Wireless Communication Paradigm through Software-Controlled Metasurfaces , 2018, IEEE Communications Magazine.

[5]  Mohamed-Slim Alouini,et al.  Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces , 2020, IEEE Transactions on Vehicular Technology.

[6]  Shuowen Zhang,et al.  Capacity Characterization for Intelligent Reflecting Surface Aided MIMO Communication , 2019, IEEE Journal on Selected Areas in Communications.

[7]  Liza Afeef,et al.  Reconfigurable Intelligent Surfaces (RIS): Channel Model and Estimation , 2020 .

[8]  Mohamed-Slim Alouini,et al.  Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead , 2020, ArXiv.

[9]  Lajos Hanzo,et al.  Reconfigurable Intelligent Surface Aided NOMA Networks , 2020, IEEE Journal on Selected Areas in Communications.

[10]  Marco Di Renzo,et al.  End-to-End Mutual Coupling Aware Communication Model for Reconfigurable Intelligent Surfaces: An Electromagnetic-Compliant Approach Based on Mutual Impedances , 2020, IEEE Wireless Communications Letters.

[11]  Mohamed-Slim Alouini,et al.  Wireless Communications Through Reconfigurable Intelligent Surfaces , 2019, IEEE Access.

[12]  Kyungwhoon Cheun,et al.  Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results , 2014, IEEE Communications Magazine.

[13]  Jeffrey G. Andrews,et al.  Modeling and Analyzing Millimeter Wave Cellular Systems , 2016, IEEE Transactions on Communications.

[14]  Benjamin Friedlander,et al.  Localization of Signals in the Near-Field of an Antenna Array , 2019, IEEE Transactions on Signal Processing.

[15]  Xiao Lu,et al.  Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey , 2019, IEEE Communications Surveys & Tutorials.

[16]  Qingqing Wu,et al.  Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming , 2018, IEEE Transactions on Wireless Communications.

[17]  Cheng-Xiang Wang,et al.  A Survey of 5G Channel Measurements and Models , 2018, IEEE Communications Surveys & Tutorials.

[18]  Mohamed-Slim Alouini,et al.  Large Intelligent Surface Assisted MIMO Communications , 2019 .

[19]  Ertugrul Basar,et al.  Indoor and Outdoor Physical Channel Modeling and Efficient Positioning for Reconfigurable Intelligent Surfaces in mmWave Bands , 2020, IEEE Transactions on Communications.

[20]  Emil Björnson,et al.  Intelligent Reflecting Surfaces: Physics, Propagation, and Pathloss Modeling , 2019, IEEE Wireless Communications Letters.

[21]  Robert W. Heath,et al.  Spatially Sparse Precoding in Millimeter Wave MIMO Systems , 2013, IEEE Transactions on Wireless Communications.

[22]  Akbar M. Sayeed,et al.  Deconstructing multiantenna fading channels , 2002, IEEE Trans. Signal Process..

[23]  Xiaojun Yuan,et al.  Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO , 2019, IEEE Wireless Communications Letters.

[24]  Zhiguo Ding,et al.  A Simple Design of IRS-NOMA Transmission , 2019, IEEE Communications Letters.

[25]  H. Arslan,et al.  Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey , 2020, IEEE Open Journal of the Communications Society.

[26]  Theodore S. Rappaport,et al.  New analytical models and probability density functions for fading in wireless communications , 2002, IEEE Trans. Commun..

[27]  Steven W. Ellingson,et al.  Path Loss in Reconfigurable Intelligent Surface-Enabled Channels , 2019, 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

[28]  Harry L. Van Trees,et al.  Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory , 2002 .

[29]  Ingrid Moerman,et al.  A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives , 2018, IEEE Communications Surveys & Tutorials.

[30]  Wei Xu,et al.  Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications , 2019, IEEE Communications Letters.

[31]  Nader Behdad,et al.  Continuous aperture phased MIMO: Basic theory and applications , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[32]  Mohamed-Slim Alouini,et al.  MGF Approach to the Analysis of Generalized Two-Ray Fading Models , 2014, IEEE Transactions on Wireless Communications.

[33]  Mohamed-Slim Alouini,et al.  Secure Transmission for Intelligent Reflecting Surface-Assisted mmWave and Terahertz Systems , 2020, IEEE Wireless Communications Letters.

[34]  Roman Maslennikov,et al.  Experimental investigations of 60 GHz WLAN systems in office environment , 2009, IEEE Journal on Selected Areas in Communications.

[35]  Wei Zhang,et al.  Joint Beam Training and Positioning For Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications , 2020, ArXiv.

[36]  Akbar M. Sayeed,et al.  Beamspace MIMO for Millimeter-Wave Communications: System Architecture, Modeling, Analysis, and Measurements , 2013, IEEE Transactions on Antennas and Propagation.

[37]  Jun Fang,et al.  Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design , 2019, IEEE Transactions on Vehicular Technology.

[38]  Cheng-Xiang Wang,et al.  Novel 3-D Non-Stationary Wideband Models for Massive MIMO Channels , 2018, IEEE Transactions on Wireless Communications.

[39]  Liza Afeef,et al.  A General Framework for RIS-Aided mmWave Communication Networks: Channel Estimation and Mobile User Tracking. , 2020, 2009.01180.

[40]  Fredrik Tufvesson,et al.  Massive MIMO channels — Measurements and models , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[41]  Rui Zhang,et al.  Secure Wireless Communication via Intelligent Reflecting Surface , 2019, IEEE Wireless Communications Letters.

[42]  R. Janaswamy,et al.  Fraunhofer and Fresnel Distances : Unified derivation for aperture antennas. , 2017, IEEE Antennas and Propagation Magazine.

[43]  Rodney A. Kennedy,et al.  Broadband nearfield beamforming using a radial beampattern transformation , 1998, IEEE Trans. Signal Process..

[44]  Andreas F. Molisch,et al.  On the Physical Interpretation of the Saleh–Valenzuela Model and the Definition of Its Power Delay Profiles , 2014, IEEE Transactions on Antennas and Propagation.

[45]  Robert W. Heath,et al.  Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems , 2015, IEEE Transactions on Communications.

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

[47]  Changsheng You,et al.  Channel Estimation and Passive Beamforming for Intelligent Reflecting Surface: Discrete Phase Shift and Progressive Refinement , 2020, IEEE Journal on Selected Areas in Communications.

[48]  Emil Björnson,et al.  Prospective Multiple Antenna Technologies for Beyond 5G , 2020, IEEE Journal on Selected Areas in Communications.