paper-with-me

Papers

Linear Precoder Design in Massive MIMO under Realistic Power Amplifier Consumption Constraint

2022-06-08 · Emanuele Peschiera, François Rottenberg

The energy consumption of wireless networks is a growing concern. In massive MIMO systems, which are being increasingly deployed as part of the 5G roll-out, the power amplifiers in the base stations have a large impact in terms of power demands. Most of the current massive MIMO precoders are designed to minimize the transmit power. However, the efficiency of the power amplifiers depend on their operating regime with respect to their saturation regime, and the consumed power proves to be non-linearly related to the transmit power. Power consumption-based equivalents of maximum ratio transmission, zero-forcing, and regularized zero-forcing precoders are therefore proposed. We show how the structure of the solutions radically changes. While all antennas should be active in order to minimize the transmit power, we find on the contrary that a smaller number of antennas should be activated if the objective is the power consumed by the power amplifiers.

📄 PDF Abstract BibTeX arXiv:2206.03936

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

BASE 설명 없음

Similar Papers 제목 키워드 기반

Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities

2022-02-03 · Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert

This paper introduces a new efficient autoprecoder (AP) based deep learning approach for massive multiple-input multiple-output (mMIMO) downlink systems in which the base station is equipped with a large number of antenn…

Decoder

Self-Supervised Learning of Linear Precoders under Non-Linear PA Distortion for Energy-Efficient Massive MIMO Systems

2022-10-13 · Thomas Feys, Xavier Mestre, François Rottenberg

Massive multiple input multiple output (MIMO) systems are typically designed under the assumption of linear power amplifiers (PAs). However, PAs are typically most energy-efficient when operating close to their saturatio…

Self-Supervised Learning

Precoder Design for User-Centric Network Massive MIMO with Matrix Manifold Optimization

2024-04-11 · Rui Sun, Li You, An-An Lu, Chen Sun 외

In this paper, we investigate the precoder design for user-centric network (UCN) massive multiple-input multiple-output (mMIMO) downlink with matrix manifold optimization. In UCN mMIMO systems, each user terminal (UT) is…

Computational Efficiency

Precoder Design for Physical-Layer Security and Authentication in Massive MIMO UAV Communications

2021-07-02 · Sung Joon Maeng, Yavuz Yapıcı, İsmail Güvenç, Arupjyoti Bhuyan 외

Supporting reliable and seamless wireless connectivity for unmanned aerial vehicles (UAVs) has recently become a critical requirement to enable various different use cases of UAVs. Due to their widespread deployment foot…

TAG

Robust Precoding for Resilient Cell-Free Networks

2025-11-29 · Saeed Mashdour, André R. Flores, Rodrigo C. de Lamare arxiv

This paper presents a robust precoder design for resilient cell-free massive MIMO (CF-mMIMO) systems that minimizes the weighted sum of desired signal mean square error (MSE) and residual interference leakage power under…

Computational Efficiency