Joint Channel-Estimation/Decoding with Frequency-Selective Channels and Few-Bit ADCs
arXiv:1807.02494 · doi:10.1109/TSP.2018.2887189
Abstract
We propose a fast and near-optimal approach to joint channel-estimation, equalization, and decoding of coded single-carrier (SC) transmissions over frequency-selective channels with few-bit analog-to-digital converters (ADCs). Our approach leverages parametric bilinear generalized approximate message passing (PBiGAMP) to reduce the implementation complexity of joint channel estimation and (soft) symbol decoding to that of a few fast Fourier transforms (FFTs). Furthermore, it learns and exploits sparsity in the channel impulse response. Our work is motivated by millimeter-wave systems with bandwidths on the order of Gsamples/sec, where few-bit ADCs, SC transmissions, and fast processing all lead to significant reductions in power consumption and implementation cost. We numerically demonstrate our approach using signals and channels generated according to the IEEE 802.11ad wireless local area network (LAN) standard, in the case that the receiver uses analog beamforming and a single ADC.
References in corpus (14)
- An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
- Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
- Millimeter Wave Cellular Wireless Networks: Potentials and Challenges
- Millimeter Wave Wireless Communications: New Results for Rural Connectivity
- Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems
- Expectation-Maximization Gaussian-Mixture Approximate Message Passing
- Throughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs
- Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO with Low-Precision ADCs
- A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels
- Performance, Power, and Area Design Trade-offs in Millimeter-Wave Transmitter Beamforming Architectures
- Blind Estimation of Sparse Broadband Massive MIMO Channels with Ideal and One-bit ADCs
- Parametric Bilinear Generalized Approximate Message Passing
- Binary Linear Classification and Feature Selection via Generalized Approximate Message Passing
- Phase diagram of matrix compressed sensing