Efficient Channel Equalization and Performance Analysis for Uplink FBMC/OQAM-Based Massive MIMO Systems

Qi, Yuhao; Dang, Jian; Zhang, Zaichen; Wu, Liang; Wu, Yongpeng

doi:10.1109/tvt.2023.3263220

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…For our channel model, we adopt frequency selective fading model [ 3 – 5 ], which is uncorrelated among transmitter-receiver antenna pairs and across different frequency blocks. The PAPR is a metric that represents the ratio of the maximum signal power to the mean signal power, it can be expressed as: where E [.]…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…This channel structure varies for each frequency block. The result is the generation of a PAPR reduction signal matrix, denoted as R as indicated by (5). This matrix serves to decrease PAPR while concurrently mitigating interference within the data stream, particularly at the user equipment (UE) receivers.…”

Section: The Proposed Papr Reduction Methodsmentioning

confidence: 99%

“…The authors in [ 5 ] investigate a response difference phenomenon observed during the design of multi-tap equalizers for FBMC/OQAM based massive MIMO systems, which negatively impacts equalization performance. In response to this challenge, the authors propose a multi-stage equalization-based design scheme for multi-tap equalizers, characterized by low implementation complexity.…”

Section: Related Workmentioning

confidence: 99%

“…where N r is the frequency-domain representation of noise matrix at receiver side. The primary goal of the proposed PAPR reduction method is to achieve the necessary reduction in PAPR, while simultaneously mitigating the interference component (HR) originating from the PAPR reduction step as shown in Eq (5). It is important to note that the explanation above assumes that the transmission signal undergoes linear power amplification.…”

Section: Plos Onementioning

confidence: 99%

“…OFDM-based systems are sensitive to timing offsets caused by imperfect synchronization and rapidly changing radio channel conditions [4]. Additionally, high side-lobe levels in the filters' frequency response make OFDM susceptible to carrier frequency offsets (CFO), leading to inter-carrier interference (ICI) and performance degradation [5]. Moreover, the insertion of cyclic prefixes (CP) in OFDM-based networks reduces their spectral efficiency [6].…”

Section: Introductionmentioning

confidence: 99%

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Performance enhancement and PAPR reduction for MIMO based QAM-FBMC systems

Hassan

2024

PLoS ONE

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Filter Bank Multi-Carrier (FBMC) is attracting significant interest as a multi-carrier modulation (MCM) approach for future communication systems. It offers numerous advantages in contrast to Orthogonal Frequency Division Multiplexing (OFDM). Nonetheless, similar to many other MCM techniques, FBMC encounters a significant challenge with a high Peak-to-Average Power Ratio (PAPR). Additionally, incorporating Multiple-Input and Multiple-Output (MIMO) into FBMC presents heightened difficulties due to the presence of complex interference and increased computational complexity. In this paper, we first study the performance analysis of MIMO based Quadrature Amplitude Modulation (QAM)-FBMC systems considering the system complexity and interference. To enhance coverage effectively using beamforming with multiple antennas, it is essential to reduce PAPR to minimize the input backoff (IBO) required by nonlinear power amplifiers. Therefore, we propose new PAPR reduction method for MIMO based QAM-FBMC systems leveraging the null space within the MIMO channel using clipping and filtering (CF) technique. The PAPR reduction signals generated in this process are then mapped to the null space of the overall MIMO channel for each frequency block. Through computer simulations using a nonlinear power amplifier model, we illustrate that the proposed method substantially enhances both PAPR and throughput of MIMO based FBMC systems compared to conventional methods.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: The Proposed Papr Reduction Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%