Efficient Optimization for Large-Scale MIMO-OFDM Spectral Precoding

Although spectral precoding is a propitious technique to suppress out-of-band emissions, it has detrimental impact on the system-wide throughput performance, notably, in high data-rate multiple-input multiple-output (MIMO) systems with orthogonal frequency division multiplexing (OFDM), because of (spatially-coloured) transmit error vector magnitude (TxEVM) emanating from precoding. The first contribution this paper propose two mask-compliant schemes, which mitigate resulting TxEVM seen at receiver by capitalizing immanent degrees-of-freedom (massive) MIMO and consequently improve throughput. Our second an introduction new simple three-operator consensus alternating direction method multipliers (ADMM) algorithm, referred as TOP-ADMM, decomposes large-scale problem into easy-to-solve subproblems. We employ proposed TOP-ADMM-based algorithm solve problems, offer computational efficiency. third presents substantial numerical results using NR release 15 compliant simulator. In case perfect channel knowledge transmitter, methods render similar block rate performance without yet meeting emission (OOBE) requirements transmitter. Further, no loss OOBE graceful degradation observed under uncertainty.