Uplink Achievable Rate of Intelligent Reflecting Surface-Aided Millimeter-Wave Communications With Low-Resolution ADC and Phase Noise
Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang
Abstract
In this letter, we derive the uplink achievable rate expression of intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) systems, taking into account the phase noise at IRS and the quantization error at base stations (BSs). We show that the performance is limited only by the resolution of analog-digital converters (ADCs) at BSs when the number of IRS reflectors grows without bound. On the other hand, if BSs have ideal ADCs, the performance loss caused by IRS phase noise is constant. Finally, our results validate the feasibility of using low-precision hardware at the IRS when BSs are equipped with low-resolution ADCs.
Topics & Concepts
Telecommunications linkQuantization (signal processing)Computer scienceElectronic engineeringBase stationPhase noiseConvertersExtremely high frequencySuccessive approximation ADCSignal-to-noise ratio (imaging)Noise (video)Electrical engineeringTelecommunicationsAlgorithmEngineeringArtificial intelligenceImage (mathematics)VoltageCapacitorAdvanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface TechnologiesSatellite Communication Systems