Multi-cell Hybrid Millimeter Wave Systems: Pilot Contamination and Interference Mitigation
Lou Zhao, Zhiqiang Wei, Derrick Wing Kwan Ng, Jinhong Yuan, Mark C., Reed

TL;DR
This paper analyzes the impact of pilot contamination in multi-cell hybrid millimeter wave MIMO systems, showing that increasing antennas can effectively mitigate interference and improve channel estimation and data rates.
Contribution
It provides a closed-form approximation of channel estimation error and achievable rate, demonstrating interference mitigation through antenna array scaling in multi-cell mmWave MIMO networks.
Findings
Channel estimation error diminishes with more antennas.
Interference effects can be mitigated by increasing antennas.
Achievable rate improves with larger antenna arrays.
Abstract
In this paper, we investigate the system performance of a multi-cell multi-user (MU) hybrid millimeter wave (mmWave) communications in a multiple-input multiple-output (MIMO) network. Due to the reuse of pilot symbols among different cells, the performance of channel estimation is expected to be degraded by pilot contamination, which is considered as a fundamental performance bottleneck of conventional multicell MU massive MIMO networks. To analyze the impact of pilot contamination to the system performance, we first derive the closed-form approximation of the normalized mean squared error (MSE) of the channel estimation algorithm proposed in [2] over Rician fading channels. Our analytical and simulation results show that the channel estimation error incurred by the impact of pilot contamination and noise vanishes asymptotically with an increasing number of antennas equipped at each…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Microwave Engineering and Waveguides
