Reconfigurable Surface Assisted Multi-User Opportunistic Beamforming

Multi-user (MU) diversity yields sum-rate gains by scheduling a user for transmission at times when its channel is near its peak. These gains are limited in environments with line- of-sight (LoS) channel components and/or spatial correlation. To remedy this, previous works have proposed opportunistic beamforming (OBF) using multiple antennas at the BS to transmit the same signal, modulated by time-varying gains, to the best user at each time slot. In this paper, we propose reconfigurable surface (RS)-assisted OBF to increase the range of channel fluctuations in a single-antenna broadcast channel (BC), where opportunistic scheduling (OS) strategy achieves the sum-rate capacity. The RS is abstracted as an array of passive reflecting elements that only induce random phase shifts onto the impinging electromagnetic waves. We develop the sum-rate scaling laws under Rayleigh, Rician and correlated Rayleigh fading and show that RS-assisted OBF with a single-antenna BS can outperform multi-antenna BS- assisted OBF using a moderate number of elements.

[1]  Minghua Xia,et al.  Opportunistic Beamforming Communication With Throughput Analysis Using Asymptotic Approach , 2009, IEEE Transactions on Vehicular Technology.

[2]  David Tse,et al.  Optimal power allocation over parallel Gaussian broadcast channels , 1997, Proceedings of IEEE International Symposium on Information Theory.

[3]  Mohamed-Slim Alouini,et al.  A Generalized Spatial Correlation Model for 3D MIMO Channels Based on the Fourier Coefficients of Power Spectrums , 2015, IEEE Transactions on Signal Processing.

[4]  Mohamed-Slim Alouini,et al.  Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design , 2019, IEEE Open Journal of the Communications Society.

[5]  Wei Wang,et al.  Impact of multiuser diversity and channel variability on adaptive OFDM , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[6]  R. Michael Buehrer,et al.  Antenna diversity in multiuser data networks , 2004, IEEE Transactions on Communications.

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

[8]  David Tse,et al.  Opportunistic beamforming using dumb antennas , 2002, IEEE Trans. Inf. Theory.

[9]  Trevon Badloe,et al.  Metasurfaces-Based Absorption and Reflection Control: Perfect Absorbers and Reflectors , 2017 .

[10]  Robert Schober,et al.  Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

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

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

[13]  Ariel Epstein,et al.  Synthesis of Passive Lossless Metasurfaces Using Auxiliary Fields for Reflectionless Beam Splitting and Perfect Reflection. , 2016, Physical review letters.

[14]  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.

[15]  Björn E. Ottersten,et al.  Opportunistic Beamforming and Scheduling for OFDMA Systems , 2007, IEEE Transactions on Communications.

[16]  Victor C. M. Leung,et al.  Transmission Mechanism and Performance Analysis of Multiuser Opportunistic Beamforming in Rayleigh and Rician Fading Channels , 2018, IEEE Transactions on Vehicular Technology.

[17]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.