Simulation Microstrip Antenna Frequency Range of 2300–2400 Mhz for Telecommunications Systems

Представлены дизайн и моделирование прямоугольной микрополосковой антенной решетки на частоте 2300–2400 МГц. На основании стандарта LTE 4G разработана антенная решетка для беспроводной связи, обеспечивающая усиление 14,06 дБм. Моделирование проведено в программном пакете Antenna Magus. Разработана конструкция микрополосковой антенной решетки с улучшенным коэффициентом передач в диапазоне 2300–2400 МГц. Представлены результаты расчетов входного сопротивления антенной решетки в указанном диапазоне частот.= The need to reduce the cost, weight, size, highly reliable antenna poses new challenges in the field of antenna design Wireless. This article presents the design and simulation of a rectangular microstrip antenna array at a frequency of 2300-2400 MHz. Described LTE 4G communication standard, which is the working range of the antenna array developed for wireless communication, which provides radiation pattern and the gain reaches 14.06 dBm. Modelling conducted in Antenna Magus software package. Microstrip antenna array with improved gear ratio is the perfect solution for use in this frequency range. Array of design in the range 2300-2400 MHz. The results of the calculations of the input impedance of the antenna array in the specified frequency range. The results can be used in telecommunication systems

Performance evaluation of 5G millimeter-wave cellular access networks using a capacity-based network deployment tool

The next fifth generation (5G) of wireless communication networks comes with a set of new features to satisfy the demand of data-intensive applications: millimeter-wave frequencies, massive antenna arrays, beamforming, dense cells, and so forth. In this paper, we investigate the use of beamforming techniques through various architectures and evaluate the performance of 5G wireless access networks, using a capacity-based network deployment tool. This tool is proposed and applied to a realistic area in Ghent, Belgium, to simulate realistic 5G networks that respond to the instantaneous bit rate required by the active users. The results show that, with beamforming, 5G networks require almost 15% more base stations and 4 times less power to provide more capacity to the users and the same coverage performances, in comparison with the 4G reference network. Moreover, they are 3 times more energy efficient than the 4G network and the hybrid beamforming architecture appears to be a suitable architecture for beamforming to be considered when designing a 5G cellular network

Wearable Communications in 5G: Challenges and Enabling Technologies

As wearable devices become more ingrained in our daily lives, traditional communication networks primarily designed for human being-oriented applications are facing tremendous challenges. The upcoming 5G wireless system aims to support unprecedented high capacity, low latency, and massive connectivity. In this article, we evaluate key challenges in wearable communications. A cloud/edge communication architecture that integrates the cloud radio access network, software defined network, device to device communications, and cloud/edge technologies is presented. Computation offloading enabled by this multi-layer communications architecture can offload computation-excessive and latency-stringent applications to nearby devices through device to device communications or to nearby edge nodes through cellular or other wireless technologies. Critical issues faced by wearable communications such as short battery life, limited computing capability, and stringent latency can be greatly alleviated by this cloud/edge architecture. Together with the presented architecture, current transmission and networking technologies, including non-orthogonal multiple access, mobile edge computing, and energy harvesting, can greatly enhance the performance of wearable communication in terms of spectral efficiency, energy efficiency, latency, and connectivity.Comment: This work has been accepted by IEEE Vehicular Technology Magazin

Sparse Signal Processing Concepts for Efficient 5G System Design

As it becomes increasingly apparent that 4G will not be able to meet the emerging demands of future mobile communication systems, the question what could make up a 5G system, what are the crucial challenges and what are the key drivers is part of intensive, ongoing discussions. Partly due to the advent of compressive sensing, methods that can optimally exploit sparsity in signals have received tremendous attention in recent years. In this paper we will describe a variety of scenarios in which signal sparsity arises naturally in 5G wireless systems. Signal sparsity and the associated rich collection of tools and algorithms will thus be a viable source for innovation in 5G wireless system design. We will discribe applications of this sparse signal processing paradigm in MIMO random access, cloud radio access networks, compressive channel-source network coding, and embedded security. We will also emphasize important open problem that may arise in 5G system design, for which sparsity will potentially play a key role in their solution.Comment: 18 pages, 5 figures, accepted for publication in IEEE Acces