Optimizing Pilot Spacing in MU-MIMO Systems Operating Over Aging Channels
Sebastian Fodor, G\'abor Fodor, Do\u{g}a G\"urg\"uno\u{g}lu, Mikl\'os, Telek

TL;DR
This paper investigates how optimal pilot spacing in MU-MIMO systems over aging channels can significantly improve channel estimation quality and system performance by balancing the trade-off between pilot and data symbols in fast-fading environments.
Contribution
It introduces a quasi-closed form for asymptotic SINR with multiple pilots and provides bounds to optimize pilot spacing considering channel aging effects.
Findings
Optimal pilot spacing enhances SINR and spectral efficiency.
Proper pilot spacing controls the impact of channel aging.
Trade-off between pilot and data symbols is crucial for system performance.
Abstract
In the uplink of multiuser multiple input multiple output (MU-MIMO) systems operating over aging channels, pilot spacing is crucial for acquiring channel state information and achieving high signal-to-interference-plus-noise ratio (SINR). Somewhat surprisingly, very few works examine the impact of pilot spacing on the correlation structure of subsequent channel estimates and the resulting quality of channel state information considering channel aging. In this paper, we consider a fast-fading environment characterized by its exponentially decaying autocorrelation function, and model pilot spacing as a sampling problem to capture the inherent trade-off between the quality of channel state information and the number of symbols available for information carrying data symbols. We first establish a quasi-closed form for the achievable asymptotic deterministic equivalent SINR when the channel…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Advanced Wireless Communication Techniques
