Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach

Non-orthogonal multiple access (NOMA) has emerged as a promising radio access technique for enabling the performance enhancements promised by the fifth-generation (5G) networks in terms of connectivity, low latency, and high spectrum efficiency. In the NOMA uplink, successive interference cancellation (SIC) based detection with device clustering has been suggested. In the case of multiple receive antennas, SIC can be combined with the minimum mean-squared error (MMSE) beamforming. However, there exists a tradeoff between the NOMA cluster size and the incurred SIC error. Larger clusters lead to larger errors but they are desirable from the spectrum efficiency and connectivity point of view. We propose a novel online learning based detection for the NOMA uplink. In particular, we design an online adaptive filter in the sum space of linear and Gaussian reproducing kernel Hilbert spaces (RKHSs). Such a sum space design is robust against variations of a dynamic wireless network that can deteriorate the performance of a purely nonlinear adaptive filter. We demonstrate by simulations that the proposed method outperforms the MMSE-SIC based detection for large cluster sizes.Comment: Accepted at ICC 201

Delay-robust distributed secondary frequency control for next-generation power systems: Stability analysis and controller synthesis

Power systems worldwide are undergoing major transformation to enable a low-carbon future. These developments require new procedures for advanced control to ensure a stable and efficient system operation. Consensus-based distributed secondary frequency control schemes have the potential to ensure real-time frequency restoration and economic dispatch simultaneously in future power systems with significant contribution of renewable energy sources. However, owing to their distributed nature, these control schemes critically depend on communication between different controlled units. Thus, robustness against communication uncertainty is crucial for their reliable operation. In this work, control design and stability analysis of delay-robust secondary frequency control in next-generation power systems are studied. The main contributions of the present thesis can be summarised as follows: (i) A design procedure for a consensus-based secondary frequency controller in microgrids is proposed that ensures robustness with respect to heterogeneous fast-varying communication delays and simultaneously provides the option to trade off the L2-gain performance against the number of required communication links; (ii) The conditions for robust stability of a consensus-based frequency control scheme applied to a power system model with second-order turbine-governor dynamics in the presence of heterogeneous time-varying communication delays and dynamic communication topology are derived; (iii) The performance of the proposed consensus-based secondary frequency controller is analysed in a detailed model capturing the dynamic behaviour of a real system. The results provide insights to the robustness of the closed-loop system with respect to unmodelled (voltage and higher-order generator) dynamics as well as communication delays