{"title":"Novel low-complexity transceiver design for UFMC system with two-stage filtering","authors":"Tuncay Eren","doi":"10.1016/j.compeleceng.2024.109831","DOIUrl":null,"url":null,"abstract":"<div><div>Waveform design plays a crucial role in ensuring the seamless operation of next generation wireless networks. Orthogonal frequency division multiplexing (OFDM)-based waveforms are still in the interest and remain a viable candidate for the physical layer of the sixth-generation (6G) networks. Universal filter multicarrier (UFMC) waveform, a variant of OFDM, exhibits several advantages over traditional OFDM, particularly in terms of reduced spectral leakage and increased spectral efficiency. However, it comes with a higher computational complexity compared to the OFDM system, particularly during the subband-wise convolution phase at the IFFT outputs. Therefore, to alleviate some of the complexity challenges in practical applications, it is essential to redesign the algorithms at both the transmitter and receiver sides. In this paper, we propose an architecture for the UFMC transmitter by incorporating a two-stage convolutional filtering approach at the transmitter side to reduce complexity. Through numerical analyses, we demonstrate a significant reduction in complexity-over 80% fewer multiplications — while also achieving a slight improvement in bit error rate (BER) performance compared to the conventional scheme. This proposed architecture presents a promising solution to tackle the complexity challenges encountered in UFMC systems, making them more viable for practical implementation in various communication environments.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"120 ","pages":"Article 109831"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790624007584","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Waveform design plays a crucial role in ensuring the seamless operation of next generation wireless networks. Orthogonal frequency division multiplexing (OFDM)-based waveforms are still in the interest and remain a viable candidate for the physical layer of the sixth-generation (6G) networks. Universal filter multicarrier (UFMC) waveform, a variant of OFDM, exhibits several advantages over traditional OFDM, particularly in terms of reduced spectral leakage and increased spectral efficiency. However, it comes with a higher computational complexity compared to the OFDM system, particularly during the subband-wise convolution phase at the IFFT outputs. Therefore, to alleviate some of the complexity challenges in practical applications, it is essential to redesign the algorithms at both the transmitter and receiver sides. In this paper, we propose an architecture for the UFMC transmitter by incorporating a two-stage convolutional filtering approach at the transmitter side to reduce complexity. Through numerical analyses, we demonstrate a significant reduction in complexity-over 80% fewer multiplications — while also achieving a slight improvement in bit error rate (BER) performance compared to the conventional scheme. This proposed architecture presents a promising solution to tackle the complexity challenges encountered in UFMC systems, making them more viable for practical implementation in various communication environments.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.