Renew

Author:

Doost-Mohammady Rahman1,Zhong Lin2,Sabharwal Ashutosh1

Affiliation:

1. Rice University, Houston, TX, USA

2. Yale University, New Haven, CT, USA

Abstract

Massive multiple-input multiple-output (mMIMO) technology uses a very large number of antennas at base stations to significantly increase efficient use of the wireless spectrum. Thus, mMIMO is considered an essential part of 5G and beyond. However, developing a scalable and reliable mMIMO system is an extremely challenging task, significantly hampering the ability of the research community to research nextgeneration networks. This "research bottleneck" motivated us to develop a deployable experimental mMIMO platform to enable research across many areas. We also envision that this platform could unleash novel collaborations between communications, computing, and machine learning researchers to completely rethink next-generation networks.

Publisher

Association for Computing Machinery (ACM)

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

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