In this paper, a survey of the literature past 15 years involving machine learning (ML) algorithms applied to self-organizing cellular networks is performed. order for future overcome current limitations and address issues systems, it clear that more intelligence needs be deployed so fully autonomous flexible network can enabled. This paper focuses on perspective (SON) solutions provides, not only an overview most common ML techniques encountered in but also manages classify each terms its...

The sixth-generation (6G) network must provide better performance than previous generations to meet the requirements of emerging services and applications, such as multi-gigabit transmission rate, higher reliability, sub-1 ​ms latency ubiquitous connection for Internet Everything (IoE). However, with scarcity spectrum resources, efficient resource management sharing are crucial achieving all these ambitious requirements. One possible technology achieve this is blockchain. Because its...

Due to the unpredictability of natural disasters, whenever a catastrophe happens, it is vital that not only emergency rescue teams are prepared, but also there functional communication network infrastructure. Hence, in order prevent additional losses human lives, crucial operators able deploy an infrastructure as fast possible. In this sense, deployment intelligent, mobile, and adaptable network, through usage drones-unmanned aerial vehicles-is being considered one possible alternative for...

Network slicing is identified as a fundamental architectural technology for future mobile networks since it can logically separate into multiple slices and provide tailored quality of service (QoS). However, the introduction network radio access (RAN) greatly increase user handover complexity in cellular networks. Specifically, both physical resource constraints on base stations (BSs) logical connection (NSs) should be considered when making decision. Moreover, various types call an...

Vital societal and industrial autonomous components are increasingly interconnected through communication networks to complete critical tasks cooperatively. However, as the reliability trust requirements for connected systems continue grow, centralized decision approaches that in use today reaching their limits. Focusing on driving applications, this paper proposes a resilient trustworthy framework wireless distributed consensus networks, where links less reliable or even presence of...

Due to the number of confirmed cases and casualties new COVID-19 virus diminishing day after day, several countries around world are discussing how return normal way life. In order keep spread disease under control avoid a second wave infection, one alternative being considered is utilization contact tracing. However, despite alternatives available, tracing still faces issues in terms maintaining user privacy security, making its mass adoption quite difficult. Based on that, novel framework...

The increasing cases of wireless communication networks being partly (or even fully) destroyed after the occurrence natural disasters has made researchers focus on use Unmanned Aerial Vehicles (UAVs) to provide quick and efficient backup in post-disaster scenarios. However, performance UAVs provisioning coverage is known be constrained by their battery life, which limits flight times. In this paper, we explore a single UAV backhaul connectivity truck-mounted Base Stations (BSs) that have...

Recent data leak scandals, together with the under-utilization of collected (estimated that around 90% never leaves a device’s local storage), limits applicability and potential novel driven applications. Thus, ways to treat data, in which users are guaranteed control, usability, privacy over their generated needed. In this paper we propose privacy-preserving blockchain framework for sharing marketplace. The proposed allows (such as sensors devices) generate store it external servers, while...

Cellular technology with long-term evolution (LTE)-based standards is a preferable choice for smart grid neighborhood area networks due to its high availability and scalability. However, the integration of cellular communications puts forth significant challenge simultaneous transmission real-time data which could cause radio access network (RAN) congestions. Heterogeneous (HetNets) have been proposed improve performance LTE because HetNets can alleviate RAN congestions by off-loading...

Network slicing (NS) has been identified as a fundamental technology for future mobile networks to meet extremely diverse communication requirements by providing tailored quality of service (QoS). However, due the introduction NS into radio access (RAN) forming UE-BS-NS three-layer association, handoff becomes very complicated and cannot be resolved conventional policies. In this paper, we propose multi-agent reinforcement LEarning based Smart policy with data Sharing, named LESS, reduce...

With the advent of network densification and development other radio interface technologies, major bottleneck future cellular networks is shifting from access to backhaul. The are expected handle a wide range applications users with different requirements. In order tackle problem downlink user-cell association, allocate best cell, an intelligent solution based on reinforcement learning proposed. A distributed Q-Learning developed in determine cell extension offsets (CREOs) for each small...

Large scale natural disasters can cause unpredictable losses of human lives and man-made infrastructure. This hinder the ability both survivors as well search rescue teams to communicate, decreasing probability finding survivors. In such cases, it is crucial that a provisional communication network deployed fast possible in order re-establish prevent additional casualties. As such, one promising solution for mobile adaptable emergency networks deployment drones equipped with base stations...

To solve the complex beam alignment issue in non-line-of-sight (NLOS) millimeter wave communications, this paper presents a deep neural network (DNN) based procedure to predict angle of arrival (AOA) and departure (AOD) both terms azimuth elevation, i.e., AAOA/AAOD EAOA/EAOD. In order evaluate performance proposed under practical assumptions, we employ trajectory prediction method by considering dynamic window approach (DWA) estimate location information user equipment (UE), which is...

To preserve participants' privacy, Federated Learning (FL) has been proposed to let participants collaboratively train a global model by sharing their training gradients instead of raw data. However, several studies have shown that con-ventional FL is insufficient protect privacy from adversaries, as even gradients, useful information can still be recovered. obtain stronger protection, Differential Privacy (DP) on the server's side and clients' side. Although adding artificial noise data...

In this paper, we propose a new channel tracking method to track the time fluctuations of millimeter-wave (mmWave) channels over multiple subcarriers with few training overheads and low complexity. essence, is formulated as compressive sensing problem proposed matrix delay domain, which enables complexity irrespective number available subcarriers, resulting in algorithm based on exact top- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

5G spectral efficiency requirements foresee network densification as a potential solution to improve capacity and throughput target next-generation wireless networks (NGWNs). This is achieved by shrinking the footprint of base stations (BSs), effective frequency reuse, dynamic use shared resources between users. However, such deployment results in unnecessary handovers (HOs) due cell size decrements, limited sojourn time on high train mobility. In particular, when speedily passes through BS...

Traditional retransmission protocols require the receiver to decode entire packet before sending feedback signals, which may not be a viable solution for ultra-reliable and low-latency communications (URLLC) as it cause significant delay. To address this issue, early hybrid automatic repeat request (E-HARQ) has been proposed an alternative reduce processing time at send signal quickly possible. In work, we present framework analyzing performance of ARQ considering URLLC requirements finite...

In this paper, an analytical model for the minimum required accuracy predictive methods is derived in terms of both handover (HO) delay and HO signaling cost. After that, total costs are worst-case scenario (when process has same performance as conventional one), simulations conducted using a cellular environment to reveal importance proposed framework. addition this, three different predictors; Markov Chains, Artificial Neural Network (ANN) Improved ANN (IANN) implemented compared. The...

Intelligent Reflecting Surface (IRS) is envisioned as a revolutionary solution for providing high data rate communication, better signal coverage and physical layer security through controlling the transmission environment of electromagnetic (EM) wave. In this paper, based on single IRS millimeter channel model, optimal multi-user sum derived with maximal ratio combining (MRC) beamformer. The conditions to achieve such maximum are expressed function placement transceivers, number elements...

Nowadays data is one of the most important assets that can be obtained, as many applications rely on to generate useful services. However, a very few number companies control, in centralized manner, large portion data. That, combined with inefficiencies storage and recent leak scandals, highlights need for new ways which shared consumed, privacy access control guaranteed by design. Based that, this paper we present an implementation blockchain-based marketplace utilizing Go Ethereum (Geth)...

This paper introduces handover (HO) skipping topology analysis that adjust the HO Skipping of 5G and beyond applications to improve overall network performance diminish negative effects. We propose a novel Poisson point process (PPP) based context-aware approach focus on impact metrics such as, passenger's trajectory, different velocities, mean-time passenger within BS maintain good quality service (QoS). Our proposed scheme, enables dynamic where decision is taken load BSs along trajectory....

Handover (HO) management is one of the critical challenges in current and future mobile communication systems due to new technologies being deployed at a network level, such as small femtocells. Because smaller sizes cells, users are expected perform more frequent HOs, which can increase signaling costs also decrease user's performance, if HO performed poorly. In order address this issue, predictive techniques, Markov chains (MC), have been introduced literature their simplicity generality....