학술논문

Local PAPR-Aware Precoding for Energy-Efficient Cell-Free Massive MIMO-OFDM Systems
Document Type
Periodical
Source
IEEE Transactions on Green Communications and Networking IEEE Trans. on Green Commun. Netw. Green Communications and Networking, IEEE Transactions on. 7(3):1267-1284 Sep, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
OFDM
Peak to average power ratio
Energy efficiency
Precoding
Massive MIMO
Hardware
Channel estimation
Cell-free massive MIMO
precoding schemes
hardware impairment
power amplifier
spectral-efficiency
energy-efficiency
Language
ISSN
2473-2400
Abstract
Orthogonal frequency-division multiplexing (OFDM) based Cell-free massive multiple-input multiple-output (CF-mMIMO) is the most promising technology that, compared to cellular technology, provide uniformly better quality of service for users in sub-6GHz bands. To make OFDM based CF-mMIMO more cost-effective and power-efficient, the access points (APs) should be equipped with low-cost and low-quality transceiver hardware. However, transmitting OFDM signals with high peak-to-average power ratio (PAPR) via such hardware causes severe hardware impairments (HWI), damaging the system performance. In this paper, we present an energy-efficient downlink transmission scheme adequate to the emerging CF-mMIMO-OFDM technology. Specifically, we introduce a smart PAPR-aware precoding scheme, referred to as localPAPRfree, adequate for cell-free architecture. Interestingly, the proposed technique can be implemented in a distributed and scalable manner, demonstrating benefits of CF-mMIMO-OFDM. The PAPR-aware precoding scheme is formulated as a simple convex optimization problem solved via an efficient and steepest iterative algorithm. In addition, we present a theoretical study to analyze the downlink (DL) spectral-efficiency (SE) and energy-efficiency (EE) performance of CF-mMIMO-OFDM under power amplifier (PA) non-linearity, providing important insights into the practical impact of nonlinear PA. Numerical results show that the proposed localPAPRfree algorithm offers excellent PAPR reduction performance, guaranteeing high EE.