MU-MIMO PAPR Reduction via EVM-Guided Beam Projection
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Solution Overview
Problem
The rapid growth in energy consumption of wireless communication networks, particularly due to the power-consuming power amplifiers in base stations with large antenna arrays in 5G deployments, leads to increased operational expenditures and energy dissipation, with existing PAPR reduction techniques either degrading signal performance or increasing system overhead.
Innovation Solution
The technique involves generating a PAPR reduction signal that is projected onto serving and non-serving beam subspaces based on error vector magnitude (EVM) associated with user equipment, allowing for efficient PAPR reduction while controlling intra-cell and inter-cell interference, thereby optimizing system throughput and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If existing PAPR reduction techniques are applied, then peak-to-average-power ratio is reduced, but signal performance is degraded
Solution Approach 1:
The PAPR reduction signal is segmented into multiple portions that are projected onto different beam subspaces (serving beam subspaces and non-serving beam subspaces). This segmentation allows the system to reduce PAPR while controlling interference in specific spatial directions, thereby maintaining signal performance for served UEs while achieving energy efficiency.
Solution Approach 2:
Different portions of the PAPR reduction signal are applied with different qualities or intensities in different spatial subspaces. The projection onto serving beam subspaces uses EVM-based control to maintain local signal quality for served users, while non-serving beam subspaces receive different treatment to reduce overall PAPR without affecting served users' signal performance.
2Loss of energy
If PAPR reduction signal is projected onto serving beam subspaces, then PAPR is reduced, but interference to served UEs increases
Solution Approach 1:
The system uses EVM (Error Vector Magnitude) as a feedback mechanism to control the projection of PAPR reduction signals onto serving beam subspaces. By monitoring EVM, the system can adjust the amount of PAPR reduction signal projected onto serving beams to maintain acceptable signal quality while achieving PAPR reduction, thus balancing energy efficiency with interference control.
3Productivity
If base stations use large antenna arrays for 5G deployments, then system throughput is improved, but power consumption increases
Solution Approach 1:
The system changes the PAPR parameter of the transmitted signals by projecting PAPR reduction signals onto appropriate beam subspaces. This parameter change allows the power amplifiers in large antenna arrays to operate more efficiently, reducing power consumption while maintaining the high throughput capabilities enabled by the large antenna arrays in 5G deployments.
Data Source
AI summary
Methods related to wireless communication systems and reducing peak-to-average-power ratio (PAPR) in MU-MIMO transmissions are provided. A base station (BS) generates a plurality of communication signals including data for a plurality of user equipment (UE) devices in a plurality of serving beam subspaces. The BS may also generate a peak-to-average-power ratio (PAPR) reduction signal for one or more of the plurality of communication signals. A first portion of the PAPR reduction signal is in a first serving beam subspace of the plurality of serving beam subspaces based on a first error vector magnitude (EVM) associated with a first UE of the plurality of UEs. A second portion of the PAPR reduction signal is in a non-serving beam subspace. The BS may also transmit, to the plurality of UEs, the plurality of communication signals and the PAPR reduction signal. Other features are also claimed and described.