Annals of Telecommunications最新文献

In this paper, the proposed algorithm based on a novel technique for lowering the Near-Far problem in very high-speed digital subscriber line (VDSL) networks is presented. Through graphical results, it is demonstrated that the proposed technique performs better in terms of data rate for multi-user VDSL networks than the conventional IWF algorithm and comes close to the extremely complex OSB algorithm. The suggested algorithm’s complexity is comparable to that of the standard iterative water filling (IWF) algorithm and significantly less than that of the centralized optimal spectrum balancing (OSB) algorithm.

In this study, the downlink non-orthogonal multiple access (NOMA) system in which successive interference cancellation (SIC) errors exist is discussed. The new closed-form expressions for the bit error rate (BER) performance analysis over cascaded Nakagami-m fading channels are analytically derived for near and far users. In addition, new mathematical equations are obtained for the asymptotic BER as well as the diversity order to analyze the system performance. The theoretical results precisely match the simulations in all cases, validating the effectiveness of the theoretical analysis. The results demonstrate that the system performance decreases as the degree of N cascading increases. As for a fixed degree of cascading, BER performance increases as the m parameter increases. Moreover, for the power allocation coefficient (alpha ) influences the SIC operation performed on the near user, it also substantially affects the BER performance. Monte Carlo simulations using (10^{6}) iterations are presented to validate the derived analytical results.

Wireless technologies are used in almost every application domain. Applications have different requirements in terms of quality of service and network performance. When designing a wireless network, it is important to know the expected performance of the system. Including the application needs in the design of the network would help achieve the required performance. This paper focuses on the high throughput required for a Smart Farming use case. Multiple-Input Multiple-Output (MIMO) technology had greatly boosted the performance of wireless networks by introducing beamforming, which provides many benefits allowing wider coverage and better data rates. We propose a capacity-aware coverage study for Wi-Fi networks deployment in rural areas. We make our coverage estimations based on link budget calculations. We compare different deployment strategies and discuss the added value of beamforming. Our results are based on an analytical link budget estimation and a simulation study using the NS-3 simulator. We added all the needed functionalities on top of the existing Wi-Fi Module in NS-3. Results in terms of capacity, coverage, and number of access points deployed are discussed. We also developed an empirical analytical model that is based on the simulation results, which helps in estimating performance results for any deployment field size.

Non-orthogonal multiple access (NOMA) is paramount in modern wireless communication systems since it enables efficient multiple access schemes, allowing multiple users to share the same spectrum resources and thus improving overall network capacity. Multiple-input multiple-output (MIMO) technology is crucial in wireless communication as it leverages multiple antennas to enhance data throughput, increase link reliability, and mitigate signal interference, resulting in improved communication performance. The combination of MIMO and NOMA represents a transformative synergy that harnesses the benefits of both technologies, facilitating efficient spectrum utilization, higher data rates, and improved reliability in wireless networks. This makes it particularly valuable in the fifth-generation (5G) era and beyond. This paper investigates the performance of majority-based transmit antenna selection and maximal ratio combining (TAS-maj/MRC) in MIMO-NOMA networks. We derive a closed-form expression for the exact bit error rate (BER) for binary phase shift keying (BPSK) modulation in Nakagami-m fading channels. Moreover, asymptotic expressions are obtained in the high signal-to-noise ratio (SNR) region to get further insight into the BER behavior of the system. Finally, we verify the analytical results’ accuracy through simulations. The results demonstrate that diversity and code gains are achieved. In addition, the BER performance is significantly improved as the number of receive antennas increases or channel condition enhances.

In the current era of agricultural robotization, it is necessary to use a suitable automated data collection system for constant plant, animal, and machine monitoring. In this context, cloud computing (CC) is a well-established paradigm for building service-centric farming applications. However, the huge amount of data has put an important burden on data centers and network bandwidth and pointed out issues that cloud-based applications face such as large latency, bottlenecks because of central processing, compromised security, and lack of offline processing. Fog computing (FC), edge computing (EC), and mobile edge computing (MEC) (or flying edge computing FEC) are gaining exponential attention and becoming attractive solutions to bring CC processes within reach of users and address computation-intensive offloading and latency issues. These paradigms from cloud to mobile edge computing are already forming a unique ecosystem with different architectures, storage, and processing capabilities. The heterogeneity of this ecosystem comes with certain limitations and challenges. This paper carries out a systematic review of the latest high-quality literature and aims to identify similarities, differences, and the main use cases in the mentioned computing paradigms, particularly when using drones. Our expectation from this work is to become a good reference for researchers and help them address hot topics and challenging issues related to this scope.

The underwater green transport system (UwGTs) is a network of connected, intelligent underwater sensors or Internet of Things (IoT) devices. The sensor networks used in UwGTs are distinct from traditional territorial wireless sensor networks in many ways, including their lengthy propagation delays, restricted bandwidths, and poor reliability. UwGTs would face significant security difficulties due to these unique traits. The main goal of this paper is to resolve authentication issues across the entire UwGTs network. The more significant challenge in developing an authentication scheme for UwGTs is to develop a simple, efficient, and secure system that considers the sensor nodes’ resource limitations. In light of this, we suggest an identity-based signature-based authentication scheme based on elliptic curve cryptography that enhances network lifetime by reducing sensor node energy consumption. The security of the suggested scheme has also been confirmed using a formal security assessment technique like the Random Oracle Model (ROM) and Automated Validation of Internet Security Protocols and Applications (AVISPA) software tools. In addition, the proposed scheme is more effective and lightweight regarding computation costs, communication costs, energy consumption, and comparative energy efficiency than the existing identity-based authentication schemes.

The significant role of multiple antenna techniques is vital to enable wireless systems to support the ever-rising demand for higher data rates and reliability. Thus, investigating these systems is continually important, and one of the essential aspects of this study is analyzing the capacity of such systems to gain insight into their performance. This paper presents several closed-form formulae to express the capacity of the multiple antenna system, by introducing newly derived finite and unconditionally valid solutions. It is also mathematically describing the outage probability of multiple antenna system in several scenarios. The numerical results show the tight fit between the obtained formulae and the Monte Carlo simulation outcomes.

Over the last three decades, we have become more dependent on wireless connectivity to access services and applications from nearly anywhere. The overstated emergence of the all-encompassing fifth generation (5G) of mobile systems begs the question of the future of the new generation of IEEE 802.11 (Wi-Fi) solutions. However, Wi-Fi has certain advantages compared to cellular systems in different ways: (i) a fast-paced standardization process; (ii) a diverse, agile, and highly competitive manufacturer base; and (iii) a broad base of early adopters for both office and house wireless networks. In addition, the rise of enabling technologies, such as software-defined wireless networks, may allow more robust and reliable Wi-Fi networks to bridge gaps in Wi-Fi technology to reach several vertical sectors. This review provides a technical analysis of the relationship between broadband wireless and Wi-Fi technologies. Wi-Fi has taken decisive steps with the evolution of several standards, and there is already evidence that Wi-Fi may partially (or completely) fulfill 5G’s strict service requirements. Next, we discussed the Wi-Fi and 5G convergence, which allow more control over user experiences and provide better service. This review concludes with an analysis of open challenges in the convergence of 5G and Wi-Fi systems. We conclude that Wi-Fi technology has and will continue to have a decisive role as an access technology in the new ecosystem of wireless networks.