User Scheduling in Massive MIMO: A Joint Deep Learning and Genetic Algorithm Approach

Due to the limited number of radio frequency (RF) chains in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) receivers using analog beamforming/hybrid beamforming, there is a restriction in scheduling the number of users in each transmission time interval. Therefore, fast and low-complexity user scheduling methods based on...

User Scheduling and Antenna Topology in Dense Massive MIMO Networks: An Experimental Study

A massive MIMO network can serve ten's of users simultaneously. However, in dense scenarios the users are potentially closely-spaced, potentially resulting in substantial inter-user interference. Scheduling can overcome this by selecting the users that lead to the highest combined spectral efficiency. As scheduling comes with a significant...

Space Time Code for Massive MIMO

Ubiquitous connectivity requirements and stringent quality-of-services (QoS)<br/>in recent wireless communications demand new revolutionary wireless network<br/>technologies to support the exponentially increasing traffic growth.<br/>Massive multiple-input-multiple-output (MIMO) with the capability of high<br/>spectral efficiency achieved by...

Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems

This paper develops efficient channel estimation techniques for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems under practical hardware limitations, including an arbitrary array geometry and a hybrid hardware structure. Taking on an angle-based approach, this work adopts a generalized array manifold separation...