Filtered-orthogonal wavelet division multiplexing (F-OWDM) technique for 5G and beyond communication systems

Abstract

Filtered-orthogonal frequency division multiplexing (F-OFDM) is one of the most protruding multicarrier modulation (MCM) techniques for fifth-generation and beyond wireless communication. However, it possesses a high peak-to-average power ratio (PAPR), which results in its poor performance. Thus, a novel wavelet based MCM technique, namely filtered orthogonal wavelet division multiplexing (F-OWDM), is proposed as an efficient alternative to conventional F-OFDM (C-F-OFDM) to reduce the PAPR. In this model, the traditional Fourier transforms (FT) as used in C-F-OFDM was replaced with Wavelet Transforms. The proposed F-OWDM system does not require a cyclic prefix because of the overlapping sub-carriers in the time and frequency domains. Thus, the F-OWDM system exhibits higher bandwidth efficiency. In this paper, the performance of the F-OWDM system with various wavelets from different wavelet families under an additive white Gaussian noise and flat fading channel is investigated. The PAPR and bit error rate (BER) of the F-OWDM system using Haar, discrete Meyer, bi-orthogonal, symlet, and Daubechies wavelets are analyzed. A comparative study between F-OWDM and C-F-OFDM is also presented. From the results, it is able to prove that F-OWDM has the advantage of lower PAPR and lower bit error rate than the C-F-OFDM system.

An Enhanced Time Series Analysis to Improve the Performance of 5G Communication Systems

“…Moreover, to ensure that the 5G system meets its performance enhancement goals, the architecture and design must factor in the impact of environmental conditions. To prevent such scenarios, the implementation of enhanced propagation models, as well as better accountability and scheduling schemes, are necessary [12]. By properly accounting for the local conditions, improved performance can be attained.…”

Advanced lifting wavelet transform and V‐degree polynomial‐based channel estimation in MIMO‐GFDM

“…Almutairi and Krishna [24] introduced a new wavelet‐based multicarrier modulation strategy, filtered orthogonal wavelet division multiplexing (F‐OWDM), to minimize peak‐to‐average power ratio (PAPR). Here, the wavelet transforms replaced the classical Fourier transform (FT).…”

“…The channel estimation based on the appropriate modulation order selection approach [23] has the probability of affecting data rate, signal quality, and complexity. The channel estimation without the CP introduced by [24] still has the issue of interference or distortions due to the subcarrier overlapping. The additional processing steps and complexity introduced by [25] may consume more power, which can be a challenge in energy‐constrained devices and applications.…”

Fault Detection and Classification in Electrical Power Transmission System Using Wavelet Transform

“…A decomposition tree depicting the representation of low-and high-frequency bands by the approximate and detail components of discrete wavelet coefficients, respectively, is shown in Figure 1 [13]. The compact orthonormal Daubechies wavelets make discrete wavelet analysis (DWT) feasible since a proper setting of mathematical expression leads to the straightforward physical interpretation of wavelet coefficients.…”