Phase Noise Compensation for OFDM Systems Exploiting Coherence Bandwidth

Abstract

Phase-noise (PN) estimation and compensation are crucial in millimeter-wave (mmWave) communication systems to achieve high reliability. The PN estimation, however, suffers from high computational complexity due to its fundamental characteristics, such as spectral spreading and fast-varying fluctuations. In this paper, we propose a new framework for lowcomplexity PN compensation in orthogonal frequency-division multiplexing systems. The proposed framework also includes a pilot allocation strategy to minimize its overhead. The key ideas are to exploit the coherence bandwidth of mmWave systems and to approximate the actual PN spectrum with its dominant components, resulting in a non-iterative solution by using linear minimum mean squared-error estimation. The proposed method obtains a reduction of more than 2.5× in total complexity, as compared to the existing methods. Furthermore, we derive closedform expressions for normalized mean squared-errors (NMSEs) as a function of critical system parameters, which help in understanding the NMSE behavior in low and high signal-tonoise ratio regimes.

Performance Investigation of Phase noise compensation in millimeter wave MIMO-OFDMA Systems

“…𝑒 𝑗Φn is the DFT vector of time-domain phase noise arrangement and N is the subcarriers of an OFDM symbol [7]. A great number of antennas are equipped through the base stations to accommodate a large number of co-channel users called MIMO.…”

LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection

“…We selected the following distances (m), D p = {3, 5, 7, 9, 11}. At each Tx and Rx locations, the Rx power measurements were conducted with boresight to the center of the LuMaMi28 BS array 5 .…”

“…The insertion losses and intrinsic power-overhead of mmWave integrated circuits (ICs) result in diminishing gains [4]. Furthermore, the mmWave system is more sensitive to hardware impairments, such as phase noise, power amplifier (PA) nonlinearities [5], [6], [7]. It gives rise to technical challenges in the design and implementation of mmWave systems.…”

Demo: Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming

“…• The baseband processing algorithms: depend on hardware, as well as channel characteristics. As compared with below-6 GHz systems, the mmWave system is more sensitive to hardware impairments, such as phase noise, power amplifier (PA) nonlinearities [10], [11]. Thus, baseband processing algorithms for impairment estimation and compensation are crucial in mmWave systems.…”