Design of Waveform Shaping Filter in the UFMC System

Wen, Jiangang; Hua, Jingyu; Lu, Weidang; Zhang, Yu; Wang, Dongming

doi:10.1109/access.2018.2837693

Cited by 50 publications

(14 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 1 shows the basic UFMC block diagram that was used in this study. In our study, we followed the idea of FFT demodulation in receiver that was presented in [6,11]. Using FFT for the demodulation is an ideal candidate for improvement of the UFMC performance in parallel processing environments.…”

Section: Universal Filtered Multi-carrier (Ufmc)mentioning

confidence: 99%

5G UFMC Scheme Performance with Different Numerologies

et al. 2021

View full text Add to dashboard Cite

5G is the latest mobile communications standard that is spreading fast across the world. Recently defined requirements for 5G systems have led to higher applications’ requirements regarding data rates, lower requirements for latency, and higher efficiency regarding the spectrum usage. Universal Filtered Multi-Carrier (UFMC) is one new candidate modulation scheme for emergent Fifth Generation (5G) communication systems. This paper focuses on Universal Filtered Multi-Carrier (UFMC) design aspects in terms of Bit Error Rate (BER) performance in relation to the filter length used in subband filtering. Simulation results show that BER and CCDF performance varies for different filter lengths and modulation schemes. The main achievement of this work is that the results show that different Dolph–Chebyshev FIR filter lengths do not affect the BER performance both for the 64 and 256 QAM.

show abstract

Section: Universal Filtered Multi-carrier (Ufmc)mentioning

confidence: 99%

5G UFMC Scheme Performance with Different Numerologies

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Otherwise, we model ISI and ICI according to [39] by σ 2,ufmc ISI ∆f and σ 2,ufmc ICI ∆f , respectively. There are several criteria for an optimal filter design in UFMC [40]. In our implementation we employ a Dolph-Chebyshev filter since it maximizes the side-lobe attenuation [41].…”

Section: B Ufmcmentioning

confidence: 99%

Multiplexing Services in 5G and Beyond: Optimal Resource Allocation Based on Mixed Numerology and Mini-Slots

Marijanović¹,

Schwarz

Rupp³

2020

IEEE Access

View full text Add to dashboard Cite

The Fifth Generation (5G) New Radio (NR) Physical Layer (PHY) is designed to successfully address diverse user and service requirements by providing a highly flexible framework. This flexibility is viable through a scalable numerology. Since 5G NR targets to multiplex various applications with different quality of service requirements within the same band, 3rd Generation Partnership Project has introduced a mixed (multi) numerology approach and a mini-slot approach to enhance the adaptability of the PHY. In this contribution, we compare these two approaches focusing on the achievement of lowlatency communications. We propose optimization problems that enable to maximize the achievable rate of best effort users, while maintaining latency requirements of low-latency users. Exploiting achievable rate performance as one of the fundamental metrics, we show a comparison of mixed numerology and mini-slot approach in different circumstances. In addition to Cyclic Prefix (CP)-Orthogonal Frequency Division Multiplexing (OFDM), we employ Universal Filtered Multicarrier (UFMC) as a potential beyond 5G technology and show that it achieves an improvement over CP-OFDM. The optimization problems for both mixed numerology and the mini-slot approach are initially given by an integer programming solution. In order to reduce computational complexity for large-scale scenarios, we apply the Dantzig-Wolfe decomposition method, showing that it is possible to achieve the optimal solution with significantly reduced complexity by exploiting the structure of the proposed optimization formulation.

show abstract

“…The time-domain signals in (5) then pass through a Dolph-Chebyshev filter f i of length L. The selection of filter length is an important factor because it will change the characteristics of the UFMC system, such as the OoB emissions, and thus its overall performance. The long filter length may lead to capacity reduction due to the overhead, and at the same time too short a filter length may also cause performance loss due to the multipath fading channel [31]. The resulting filtered signal is denoted by y Bi , as represented in (6).…”

Section: A Transmittermentioning

confidence: 99%

Performance Analysis of Hybrid Peak to Average Power Ratio Reduction Techniques in 5G UFMC Systems

2019

View full text Add to dashboard Cite

The universal filtered multi-carrier (UFMC) technique has been proposed as a prominent waveform candidate for fifth generation (5G) communication techniques. However, UFMC systems exhibit a high peak-to-average power ratio (PAPR), which causes serious degradation in the performance of the system. Therefore, this paper puts forward an effective hybrid PAPR reduction method to reduce the high PAPR of the UFMC system. The proposed hybrid scheme consists of a combination of precoding and nonlinear companding techniques (NLCTs). A comparative analysis of the performance of different precoding methods, NLCTs, and hybrid methods are investigated in terms of the cumulative distribution function of the PAPR and the bit error rate (BER). The simulation results show that the proposed hybrid UFMC system has better PAPR reduction performance compared to conventional NLC and precoded UFMC systems. Moreover, the BER analysis of the UFMC system verifies that the proposed hybrid technique shows better BER performance compared to conventional companding techniques.INDEX TERMS Peak-to-average power ratio (PAPR), precoding techniques, non-linear companding techniques, hybrid PAPR reduction techniques, universal filtered multi-carrier (UFMC), 5G.

show abstract

Design of Waveform Shaping Filter in the UFMC System

Cited by 50 publications

References 23 publications

5G UFMC Scheme Performance with Different Numerologies

5G UFMC Scheme Performance with Different Numerologies

Multiplexing Services in 5G and Beyond: Optimal Resource Allocation Based on Mixed Numerology and Mini-Slots

Performance Analysis of Hybrid Peak to Average Power Ratio Reduction Techniques in 5G UFMC Systems

Contact Info

Product

Resources

About