2019/07/11 by Nitin Jonathan Myers, Jarkko Kaleva, Myers, Nitin Jonathan +5 · 1 citation
Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Microwave Engineering and Waveguides #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1907.05009
openalex publication_date 2019/07/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Millimeter wave (mmWave) communication in typical wearable and data center\nsettings is short range. As the distance between the transmitter and the\nreceiver in short range scenarios can be comparable to the length of the\nantenna arrays, the common far field approximation for the channel may not be\napplicable. As a result, dictionaries that result in a sparse channel\nrepresentation in the far field setting may not be appropriate for short\ndistances. In this paper, we develop a novel framework to exploit the structure\nin short range mmWave channels. The proposed method splits the channel into\nseveral subchannels for which the far field approximation can be applied. Then,\nthe structure within and across different subchannels is leveraged using\nmessage passing. We show how information about the antenna array geometry can\nbe used to design message passing factors that incorporate structure across\nsuccessive subchannels. Simulation results indicate that our framework can be\nused to achieve better beam alignment with fewer channel measurements when\ncompared to standard compressed sensing-based techniques that do not exploit\nstructure across subchannels.\n