GreenMO: Virtualized User-proportionate MIMO
Agrim Gupta, Sajjad Nassirpour, Manideep Dunna, Eamon Patamasing,, Alireza Vahid, Dinesh Bharadia

TL;DR
GreenMO introduces a virtualized RF chain architecture for massive MIMO, enabling energy-efficient, flexible, and user-proportionate power consumption, significantly outperforming traditional systems in power and spectrum efficiency.
Contribution
It pioneers the virtualization of RF chains in massive MIMO, allowing dynamic, user-proportionate resource allocation and energy savings in 5G base stations.
Findings
GreenMO is 3x more power-efficient than traditional Massive MIMO.
GreenMO achieves 4x spectrum efficiency over OFDMA.
Potential to save up to 40% power in 5G NR base stations.
Abstract
With the turn of new decade, wireless communications face a major challenge on connecting many more new users and devices, at the same time being energy efficient and minimizing its carbon footprint. However, the current approaches to address the growing number of users and spectrum demands, like traditional fully digital architectures for Massive MIMO, demand exorbitant energy consumption. The reason is that traditionally MIMO requires a separate RF chain per antenna, so the power consumption scales with number of antennas, instead of number of users, hence becomes energy inefficient. Instead, GreenMO creates a new massive MIMO architecture which is able to use many more antennas while keeping power consumption to user-proportionate numbers. To achieve this GreenMO introduces for the first time, the concept of virtualization of the RF chain hardware. Instead of laying the RF chains…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Energy Harvesting in Wireless Networks · Cooperative Communication and Network Coding
MethodsBalanced Selection · Part-based Convolutional Baseline
