Ultra-Low-Complexity, Non-Linear Processing for MU-MIMO Systems
Chathura Jayawardena, Konstantinos Nikitopoulos

TL;DR
This paper presents DARE, a novel ultra-low-complexity non-linear detection scheme for MU-MIMO systems that significantly improves throughput with minimal additional complexity, enabling practical, power-efficient implementations.
Contribution
Introduces DARE, a joint detection and reliability estimation method that achieves high throughput gains with minimal complexity, outperforming existing non-linear detectors.
Findings
DARE improves throughput by up to 40% over linear detection.
DARE requires less than twice the complexity of linear MMSE detection.
DARE enables power savings by maintaining performance with fewer antennas.
Abstract
Non-linear detection schemes can substantially improve the achievable throughput and connectivity capabilities of uplink MU-MIMO systems that employ linear detection. However, the complexity requirements of existing non-linear soft detectors that provide substantial gains compared to linear ones are at least an order of magnitude more complex, making their adoption challenging. In particular, joint soft information computation involves solving multiple vector minimization problems, each with a complexity that scales exponentially with the number of users. This work introduces a novel ultra-low-complexity, non-linear detection scheme that performs joint Detection and Approximate Reliability Estimation (DARE). For the first time, DARE can substantially improve the achievable throughput (e.g., 40%) with less than 2x the complexity of linear MMSE, making non-linear processing extremely…
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Taxonomy
TopicsQuantum-Dot Cellular Automata · Energy Harvesting in Wireless Networks · Molecular Communication and Nanonetworks
MethodsBalanced Selection
