Study of Robust Adaptive Power Allocation Techniques for Rate Splitting based MU-MIMO systems
A. R. Flores, R. C. de Lamare

TL;DR
This paper introduces a robust, low-complexity adaptive power allocation method for rate splitting MU-MIMO systems that improves sum-rate performance under imperfect channel knowledge.
Contribution
It proposes a novel stochastic gradient-based adaptive power allocation algorithm that accounts for channel error variance, enhancing robustness and practicality.
Findings
Outperforms traditional MU-MIMO in sum-rate under imperfect CSIT
Reduces computational complexity compared to existing methods
Provides theoretical analysis of stability and bounds
Abstract
Rate splitting (RS) systems can better deal with imperfect channel state information at the transmitter (CSIT) than conventional approaches. However, this requires an appropriate power allocation that often has a high computational complexity, which might be inadequate for practical and large systems. To this end, adaptive power allocation techniques can provide good performance with low computational cost. This work presents novel robust and adaptive power allocation technique for RS-based multiuser multiple-input multiple-output (MU-MIMO) systems. In particular, we develop a robust adaptive power allocation based on stochastic gradient learning and the minimization of the mean-square error between the transmitted symbols of the RS system and the received signal. The proposed robust power allocation strategy incorporates knowledge of the variance of the channel errors to deal with…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Advanced Power Amplifier Design
