Beam Discovery Using Linear Block Codes for Millimeter Wave Communication Networks

05/30/2018
by   Yahia Shabara, et al.
0

The surge in mobile broadband data demands is expected to surpass the available spectrum capacity below 6 GHz. This expectation has prompted the exploration of millimeter wave (mm-wave) frequency bands as a candidate technology for next generation wireless networks. However, numerous challenges to deploying mm-wave communication systems, including channel estimation, need to be met before practical deployments are possible. This work addresses the mm-wave channel estimation problem and treats it as a beam discovery problem in which locating beams with strong path reflectors is analogous to locating errors in linear block codes. We show that a significantly small number of measurements (compared to the original dimensions of the channel matrix) is sufficient to reliably estimate the channel. We also show that this can be achieved using a simple and energy-efficient transceiver architecture.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/19/2017

Linear Block Coding for Efficient Beam Discovery in Millimeter Wave Communication Networks

The surge in mobile broadband data demands is expected to surpass the av...
research
04/18/2018

Fast Channel Estimation for Millimetre Wave Wireless Systems Using Overlapped Beam Patterns

This paper is concerned with the channel estimation problem in millimetr...
research
11/24/2017

Map-based Millimeter-Wave Channel Models: An Overview, Guidelines, and Data

A wide range of available frequency bands is the promise of millimeter-w...
research
03/15/2018

Mm-wave specific challenges in designing 5G transceiver architectures and air-interfaces

The mm-wave spectrum will be of significant importance to 5G mobile syst...
research
04/30/2019

Source Coding Based mmWave Channel Estimation with Deep Learning Based Decoding

mmWave technology is set to become a main feature of next generation wir...
research
09/28/2019

A Blockage Model for the Open Area Mm-wave Device-to-Device Environment

A significant portion of the 5th generation of wireless networks will op...
research
12/20/2018

Statistical Location and Rotation-Aware Beam Search for Millimeter-Wave Networks

Beam training in dynamic millimeter-wave (mm-wave) networks with mobile ...

Please sign up or login with your details

Forgot password? Click here to reset