A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment

Xingjian Li; Jun Fang; Huiping Duan; Hongbin Li

ICASSP 2019accepted0 citations

A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment

Xingjian Li, Jun Fang, Huiping Duan, Hongbin Li

Abstract

The problem of beam alignment for millimeter wave (mm-Wave) communications is studied in this paper. We show that, by exploiting the sparse scattering nature of mmWave channels, the beam alignment problem can be formulated as a sparse encoding and phaseless decoding problem, which involves finding a sparse sensing matrix and an efficient recovery algorithm to recover the support and magnitude of the s-parse signal from compressive phaseless measurements. We develop a general function-Code (GF-Code) algorithm for s-parse encoding and phaseless decoding. Simulation results are provided to corroborate the effectiveness of the proposed GF-Code method.

BibTeX

@inproceedings{icassp2019_asparseencodinga,
  title = {A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment},
  author = {Xingjian Li and Jun Fang and Huiping Duan and Hongbin Li},
  booktitle = {ICASSP 2019},
  year = {2019}
}