Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface With Discrete Phase Shifts
National University of Singapore
Abstract
Intelligent reflecting surface (IRS) is a cost-effective solution for achieving high spectrum and energy efficiency in future wireless networks by leveraging massive low-cost passive elements that are able to reflect the signals with adjustable phase shifts. Prior works on IRS mainly consider continuous phase shifts at reflecting elements, which are practically difficult to implement due to the hardware limitation. In contrast, we study in this paper an IRS-aided wireless network, where an IRS with only a finite number of phase shifts at each element is deployed to assist in the communication from a multi-antenna access point (AP) to multiple single-antenna users. We aim to minimize the transmit power at the…
Citation impact
- FWCI
- 79.90
- Percentile
- 100%
- References
- 55
Authors
2Topics & keywords
- Beamforming
- Computer science
- Transmitter power output
- Continuous phase modulation
- Precoding
- Wireless
- Wireless network
- Power (physics)
- Affordable and clean energy