Recognition of the modulation scheme is intermediate step between signal detection and demodulation received in communication networks. Automatic recognition (AMR) plays a central role many applications, especially military security sectors. In general, several properties are extracted employed for AMR. Selecting appropriate features has significant impact on increasing efficiency this paper, we implement compare digital via multi-layer perceptrons (MLP), radial basis function (RBF),...

Molecular communication (MC) is a modern paradigm inspired by biological mechanisms and systems. Due to the short range of molecular diffusion, MC systems necessitate multi-hop diffusion-based network transmit information. Finding optimal routing path one most critical challenges in MC. The main goal transfer information through diffusion molecules within an state detecting shortest route proper relays. In this paper, finding using genetic algorithm (GA) investigated order find...

In the contemporary era, blind source separation has emerged as a highly appealing and significant research topic within field of signal processing. The imperative for integration techniques context beyond fifth-generation sixth-generation networks arises from increasing demand reliable efficient communication systems that can effectively handle challenges posed by high-density networks, dynamic interference environments, coexistence diverse sources, thereby enabling enhanced extraction...

With massive multi-input multi-output, it may be the case that large numbers of antennas are closely packed to fit in some available space. Here, channel correlations become important and is interest investigate space requirements different array shapes. We focus on uniform square linear arrays consider a range correlation models. show benefits two-dimensional dependent type correlation. When decays slowly over small antenna separations then can far more compact than or they offer...

In an uplink massive multiple-input-multiple-output deployment with distributed single-antenna users and a large base-station array, we consider several combinations of receivers using linear combiners (maximum ratio combining (MRC) zero forcing (ZF)) in conjunction Vertical Bell Laboratories Layered Space Time (V-BLAST). We show that the performance loss MRC relative to ZF can be removed certain situations through use V-BLAST. Furthermore, develop low complexity ordering scheme which...

Blind source separation is a challenging problem in signal processing, involving the of mixed signals into their individual sources. This paper introduces novel approach based on multiuser kurtosis to address blind problem. The proposed technique utilizes estimate both and mixing matrix. By leveraging higher-order statistical properties signals, particularly fourth-order statistics, matrix estimated used separate original To enhance performance, extension kurtosis-based introduced, enabling...

Massive multiple-input multiple-output (MIMO) is one of the essential technologies in beyond fifth generation (B5G) communication systems due to its impact attaining high power efficiency and spectrum efficiency.The design low-complexity detectors for massive MIMO continues attract significant research industry attention critical need find right balance between performance computational complexity, especially with a large number antennas at both transmitting receiving sides.It has been...

N ext-generation wireless systems are poised to de-liver unprecedented advancements in data rates, latency, and coverage compared their predecessors. A key enabler for achieving these objectives is channel coding technology, which critical reducing error rates communications. To meet the demanding requirements of next-generation systems, advanced techniques such as polar codes, low-density parity check Turbo codes have been proposed. These innovative schemes outperform traditional...

The problems of recovering the state power systems and detecting instances bad data have been widely studied in literature. Nevertheless, these two operations designed optimized for most part isolation. Specifically, estimators are based on minimum mean-square error criteria, which is only optimal when source distortions Gaussian random noise. Hence, fail to perform optimality further contaminated by data, cannot necessarily be modeled additive terms. problem estimation has extensively. But...

To evaluate the benefits of distributed arrays in massive multiple-input–multiple-output systems, authors investigate interaction between linear receivers (maximum ratio combining and zero forcing) three deployments scenarios: (i) a co-located array at cell centre; (ii) clustered B discrete locations; (iii) with uniform distribution individual antennas. The also study effect propagation parameters, system size, correlation channel estimation error. demonstrate by analysis simulation that...

In this paper, we consider the problem of joint timing-offset and channel estimation for amplify-and-forward (AF) two-way relay networks (TWRNs). This is solved generic pulse-shaping filters, taking into account filter truncation in practical communication considering both pilot-based semi-blind strategies. Beginning with estimation, propose a novel Maximum-likelihood estimator, as well an alternative estimator based on special properties Zadoff-Chu sequences. The first algorithm offers high...

This paper performs speech emotion recognition on short voice messages lasting less than three seconds, using one-dimensional convolutional neural networks. The Ravee dataset, voiced by professional actors, is exploited. proposed network architecture for the system aims to improve accuracy and reduce total processing cost of model. Moreover, Mel-frequency cepstral coefficients are used as main features purposes. Additionally, overfitting problems avoided utilizing data augmentation...

Modulation type recognition has attracted increasing attention in recent years, both the military and commercial sectors. This paper introduces new methods for automatic identification of digital modulations. Our work targets main modulations, including amplitude-shift keying, quadrature frequency-shift phase-shift keying 16 amplitude modulation. These modulations are identified separated by first selecting appropriate features from received modulated signal, then classifying modulation with...

We consider the performance of a low complexity Vertical Bell Laboratories Layered Space Time system with maximum ratio combining receiver (LC-VBLAST) in an uplink massive multiple-input-multiple-output (MIMO) deployment single antenna users. This is known to give similar error rate zero forcing (ZF) for simple systems while reducing complexity. In this paper, we show that LC-VBLAST remains ZF more complex adaptive modulation and presence channel estimation error, can be superior. These...

In this paper, we take a proposed low-complexity Vertical Bell Laboratories Layered Space Time receiver based on maximal ratio combining and further simplify the algorithm by replacing channel norm ordering power ordering. The operates in an uplink massive multiple-input-multiple-output deployment with distributed single-antenna users large base station (BS) array. novel is compared other more complex detection schemes such as linear zero forcing. Moreover, explicit closed form analysis for...

Massive multiple-input multiple-output (MIMO) is an essential technology in fifth-generation (5G) and beyond 5G (B5G) communication systems. MIMO employed to meet the increasing request for high capacity next-generation wireless networks. However, signal processing massive incurs a complexity due large number of transmitting receiving antenna elements. In this paper, we propose low data detection techniques based on zero-forcing (ZF) vertical bell laboratories layered space-time (V-BLAST)...

People's lives always necessitate prioritizing having the best possible and accessible water quality. Since pollution sources continuously expand, quality monitoring systems have become essential. However, such remain too expensive. Fortunately, with recent growth of Internet Things (IoT) technology ongoing development smart systems, a low-cost system can be implemented. This paper presents novel methodology for allowing acquisition data, real-time monitoring, maintenance optimal required...

Nowadays, soft computing algorithms are used to simulate and solve complex problems in different fields. Each of the existing requires proper adjustment parameters produce outputs tailored user's needs. Using trial-and-error methods find correct parameter values is time-consuming does not guarantee optimum value. In this paper, a genetic algorithm employed obtain optimal for multi-layer perceptrons, radial basis function, adaptive neuro-fuzzy inference system algorithms. For each these...

This paper treats the problem of optimal resource allocation over time in a finite-horizon setting, which become available only sequentially and incremental values, utility function is concave can freely vary time. Such problems have direct applications data communication networks (e.g., energy harvesting systems). studied extensively for special choices (time invariant logarithmic) case policies are well-understood. this its general form analytically characterizes structure policy devises...

Abstract With the advent of fifth generation (5G) systems and Internet‐of‐Things (IoT), number interconnected wireless devices is increasing significantly. Protocols that allow these deceives to interconnect peer‐to‐peer through links are becoming interest. The major challenge inevitable interference among simultaneously activated links. Given a set links, this article addresses non‐deterministic polynomial‐time (NP) hard problem selecting maximum subset can be at their respective...

In an uplink massive multiple-input-multiple-output (MIMO) deployment with distributed single-antenna users and a large base-station array, we consider the performance of Vertical Bell Laboratories Layered Space Time (V-BLAST) maximum ratio combining (MRC) V-BLAST zero forcing (ZF). evaluation, include effects imperfect channel state information (CSI) correlation since these system imperfections are particular importance in MIMO. The main contribution is that MRC shown to approach ZF under...

Due to the evolution and availability of vast amounts data for transferring, receiving, detection, field signal recognition modulation classification has become vital in various fields applications. Additionally, classical approaches machine learning (ML) no more can satisfy current needs. Hence, this urged researchers apply deep (DL) algorithms that have a very strong ability train, learn, automatically classify types categories. This paper focuses on three DL network algorithms, which are...