articleIEEE Journal of Selected Topics in Signal ProcessingJul 1, 2014GREEN OA

Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems

AAAhmed AlkhateebOEOmar El AyachGLGeert LeusRWRobert W. Heath

The University of Texas at Austin · Qualcomm (United Kingdom) · +3 more institutions

Indexed inarxivcrossref

Abstract

Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with large antenna arrays at both the transmitter and receiver. Due to the high cost and power consumption of gigasample mixed-signal devices, mmWave precoding will likely be divided among the analog and digital domains. The large number of antennas and the presence of analog beamforming requires the development of mmWave-specific channel estimation and precoding algorithms. This paper develops an adaptive algorithm to estimate the mmWave channel parameters that exploits the poor…

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Authors

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Topics & keywords

Topics
Keywords
  • Precoding
  • Computer science
  • Beamforming
  • Channel (broadcasting)
  • Zero-forcing precoding
  • Electronic engineering
  • Transmitter
  • Algorithm
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