Opportunistic Beamforming Using an Intelligent Reflecting Surface Without Instantaneous CSI

While intelligent reflecting surface (IRS) assisted wireless communication has emerged as an important research paradigm, channel state information (CSI) acquisition remains a critical challenge to design the IRS phase-shifts and yield the promised coherent beamforming gains. In this letter, we propose an IRS-assisted opportunistic beamforming (OBF) scheme under proportional fair scheduling, which does not require instantaneous CSI to design the IRS parameters. In a slow-fading environment, we show that with only random rotations at the IRS, the proposed scheme can capitalize on the multi-user (MU)-diversity effect to approach the performance of coherent beamforming as the number of users grows large. Next we study the sum-rate scaling of IRS-assisted OBF in the correlated Rayleigh fast fading environment under a deterministic beamforming scheme that results in a considerable sum-rate improvement.

[1]  Sheng Yang,et al.  On the DMT Optimality of Time-Varying Distributed Rotation Over Slow Fading Relay Channels , 2015, IEEE Transactions on Wireless Communications.

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

[3]  Kiho Kim,et al.  A random beamforming technique in MIMO systems exploiting multiuser diversity , 2003, IEEE J. Sel. Areas Commun..

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

[5]  Babak Hassibi,et al.  A Comparison of Time-Sharing, DPC, and Beamforming for MIMO Broadcast Channels With Many Users , 2007, IEEE Transactions on Communications.

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

[7]  Tareq Y. Al-Naffouri,et al.  How much does transmit correlation affect the sum-rate scaling of MIMO gaussian broadcast channels? , 2009, IEEE Transactions on Communications.

[8]  Kezhi Wang,et al.  Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems , 2020, IEEE Wireless Communications Letters.

[9]  Mohamed-Slim Alouini,et al.  Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems , 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

[10]  Anas Chaaban,et al.  Reconfigurable Surface Assisted Multi-User Opportunistic Beamforming , 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

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

[12]  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.

[13]  Constantinos Psomas,et al.  Low-Complexity Random Rotation-Based Schemes for Intelligent Reflecting Surfaces , 2019, IEEE Transactions on Wireless Communications.