Optimal Hybrid Precoding for Millimeter wave Massive MIMO Systems

The emerging disruptive technologies like Industrial Internet of Things (IIoT), virtual reality, driverless cars are posing challenges on communication infrastructure. They demand a new landscape for ultra-reliable and low latency services, possibility to connect a massive number of devices, excelle...

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Bibliographic Details
Published in:Procedia computer science 2020, Vol.171, p.810-819
Main Authors: Nalband, Abdul Haq, Sarvagya, Mrinal, Ahmed, Mohammed Riyaz
Format: Article
Language:English
Subjects:
Channel state information
Hybrid precoding
massive MIMO
millimeter wave
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Summary:The emerging disruptive technologies like Industrial Internet of Things (IIoT), virtual reality, driverless cars are posing challenges on communication infrastructure. They demand a new landscape for ultra-reliable and low latency services, possibility to connect a massive number of devices, excellent user experience, and enhanced data rates. Hybrid precoding is a promising solution to achieve the required array gain and multiplexing gain while reducing system complexity of the millimeter wave(mmWave) systems. In this paper, we propose an optimal hybrid precoding system to implement the massive MIMO transmission with data stream adaptation for high throughput and energy-efficient mmWave communications. The work investigates hybrid precoding for both perfect Channel State Information (CSI) and imperfect CSI along with power scaling capabilities. Optimality and capacity analysis of hybrid precoding is carried out for mmWave massive MIMO systems.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2020.04.088