paper-with-me

Papers

Flexible fast-convolution processing for cellular radio evolution

2022-02-05 · Juha Yli-Kaakinen, Toni Levanen, Arto Palin, Markku Renfors, Mikko Valkama

Orthogonal frequency-division multiplexing (OFDM) has been selected as a baseline waveform for long-term evolution (LTE) and fifth-generation new radio (5G NR). Fast-convolution (FC)-based frequency-domain signal processing has been considered recently as an effective tool for spectrum enhancement of OFDM-based waveforms. FC-based filtering approximates linear convolution by effective fast Fourier transform (FFT)-based circular convolutions using partly overlapping processing blocks. In earlier work, we have shown that FC-based filtering is a very flexible and efficient tool for filtered-OFDM signal generation and receiver side subband filtering. In this paper, we present a symbol-synchronous FC-processing scheme flexibly allowing filter re-configuration time resolution equal to one OFDM symbol while supporting tight carrier-wise filtering for 5G NR in mixed-numerology scenarios with adjustable subcarrier spacings, center frequencies, and subband bandwidths as well as providing co-exitence with LTE. The proposed scheme is demonstrated to support envisioned use cases of 5G NR and provide flexible starting point for sixth generation development.

📄 PDF Abstract BibTeX arXiv:2202.02515

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

Convolution A convolution is a type of matrix operation, consisting of a kernel, a small matrix of weights, that slides over input data performing element-wise multiplication with the…

Similar Papers 제목 키워드 기반

Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks

2021-10-05 · Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren 외

Radio propagation modeling and prediction is fundamental for modern cellular network planning and optimization. Conventional radio propagation models fall into two categories. Empirical models, based on coarse statistics…

Frequency-Domain Signal Processing for Spectrally-Enhanced CP-OFDM Waveforms in 5G New Radio

2020-08-03 · Juha Yli-Kaakinen, AlaaEddin Loulou, Toni Levanen, Kari Pajukoski 외

Orthogonal frequency-division multiplexing (OFDM) has been selected as the basis for the fifth-generation new radio (5G-NR) waveform developments. However, effective signal processing tools are needed for enhancing the O…

SCUBA: An In-Device Multiplexed Protocol for Sidelink Communication on Unlicensed Bands

2020-12-07 · Vishnu Rajendran, Gautham Prasad, Lutz Lampe, Gus Vos

Device-to-device communication (D2D) is a key enabler for connecting devices together to form the Internet of Things (IoT). A growing issue with IoT networks is the increasing number of IoT devices congesting the spectra…

Fundamentals of Multi-Numerology 5G New Radio

2019-06-13

The physical layer of 5G cellular communications systems is designed to achieve better flexibility in an effort to support diverse services and user requirements. OFDM waveform parameters are enriched with flexible multi…

Deep-Learned Compression for Radio-Frequency Signal Classification

2024-03-05 · Armani Rodriguez, Yagna Kaasaragadda, Silvija Kokalj-Filipovic

Next-generation cellular concepts rely on the processing of large quantities of radio-frequency (RF) samples. This includes Radio Access Networks (RAN) connecting the cellular front-end based on software defined radios (…

ClassificationDecision MakingQuantization