# Sub-Nyquist Channel Estimation over IEEE 802.11ad Link

## TL;DR

This paper explores sub-Nyquist sampling techniques for efficient channel estimation in IEEE 802.11ad 60 GHz links, leveraging channel sparsity and compressed sensing to reduce sampling rates significantly.

## Contribution

It introduces a novel approach to low-rate channel estimation for IEEE 802.11ad using compressed sensing and sub-Nyquist sampling, demonstrating feasibility at one-seventh of Nyquist rates.

## Key findings

- Feasibility of channel estimation at one-seventh of Nyquist rate
- Minimal performance degradation with sub-Nyquist sampling
- Effective exploitation of channel sparsity in 802.11ad

## Abstract

Nowadays, millimeter-wave communication centered at the 60 GHz radio frequency band is increasingly the preferred technology for near-field communication since it provides transmission bandwidth that is several GHz wide. The IEEE 802.11ad standard has been developed for commercial wireless local area networks in the 60 GHz transmission environment. Receivers designed to process IEEE 802.11ad waveforms employ very high rate analog-to-digital converters, and therefore, reducing the receiver sampling rate can be useful. In this work, we study the problem of low-rate channel estimation over the IEEE 802.11ad 60 GHz communication link by harnessing sparsity in the channel impulse response. In particular, we focus on single carrier modulation and exploit the special structure of the 802.11ad waveform embedded in the channel estimation field of its single carrier physical layer frame. We examine various sub-Nyquist sampling methods for this problem and recover the channel using compressed sensing techniques. Our numerical experiments show feasibility of our procedures up to one-seventh of the Nyquist rates with minimal performance deterioration.