TY - JOUR
T1 - Robust beamforming design for intelligent reflecting surface aided MISO communication systems
AU - Zhou, Gui
AU - Pan, Cunhua
AU - Ren, Hong
AU - Wang, Kezhi
AU - Renzo, Marco Di
AU - Nallanathan, Arumugam
N1 - Funding Information: The work of Marco Di Renzo was supported by the European Commission through the H2020 ARIADNE Project under Grant 871464. The work of Arumugam Nallanathan was supported by under Grant EP/R006466/1.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). This is the first work to study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) system under the assumption of imperfect CSI. We aim for minimizing the transmit power while ensuring that the achievable rate of each user meets the quality of service (QoS) requirement for all possible channel error realizations. With unit-modulus and rate constraints, this problem is non-convex. The imperfect CSI further increases the difficulty of solving this problem. By using approximation and transformation techniques, we convert the optimization problem into a squence of semidefinite program (SDP) subproblems that can be efficiently solved. Numerical results show that the proposed robust beamforming design can guarantee the required QoS targets for all the users.
AB - Perfect channel state information (CSI) is challenging to obtain due to the limited signal processing capability at the intelligent reflection surface (IRS). This is the first work to study the worst-case robust beamforming design for an IRS-aided multiuser multiple-input single-output (MU-MISO) system under the assumption of imperfect CSI. We aim for minimizing the transmit power while ensuring that the achievable rate of each user meets the quality of service (QoS) requirement for all possible channel error realizations. With unit-modulus and rate constraints, this problem is non-convex. The imperfect CSI further increases the difficulty of solving this problem. By using approximation and transformation techniques, we convert the optimization problem into a squence of semidefinite program (SDP) subproblems that can be efficiently solved. Numerical results show that the proposed robust beamforming design can guarantee the required QoS targets for all the users.
KW - imperfect channel state information (CSI)
KW - Intelligent reflecting surface (IRS)
KW - large intelligent surface (LIS)
KW - robust design
KW - semidefinite program (SDP)
UR - http://www.scopus.com/inward/record.url?scp=85092744351&partnerID=8YFLogxK
U2 - 10.1109/LWC.2020.3000490
DO - 10.1109/LWC.2020.3000490
M3 - Article
AN - SCOPUS:85092744351
SN - 2162-2337
VL - 9
SP - 1658
EP - 1662
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
IS - 10
M1 - 9110587
ER -