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In this article, Fifth generation mobile technology is termed 5G. It is basically a standard notation, used for a major phase of mobile telecommunication other than 4G standards. After the overall success of fourth generation (4G) mobile communications which was based on the platform named “Long Term Evolution (LTE)-Advanced standard” developed by the Third Generation Partnership Project (3GPP), the industry along with the research department such as International Telecommunication Union — Radio communications Standardization Sector (ITU-R), 3GPP, has been continuously working on the 5G mobile communication standards through some projects, such as the EU FP7 METIS and independently. In the year 2015, a paper has published in which it was reported that ITU-R developed a vision for 5G mobile communications. This vision supports the accommodation of explosive growth of data traffic through enhanced mobile broadband (eMBB). It also supports massive machine-type communications (MTC), along with ultra-reliable and low-latency communications (URLLC). This paper presents a review of the innovation, updates, and advancements from the first generation (1G) to the fifth generation (5G). Also, the network capabilities providing reasonable broadband wireless connectivity for all generations of telecommunication are discussed here.

In this paper, an algorithm for logarithm converter and antilog converter with fast efficient error correction and efficient area is discussed. Here discussed a Binary-to-Binary logarithm conversion. As, a Binary logarithm is a replacement for an arithmetic operation like multiplication and division due to their fast response and less storage area. A different approach taken by various researchers related to this field to achieve an accurate error correction scheme in form of literature review. This is restricted, a few methods to achieve logarithmic and antilogarithm conversion have been discussing methodology. In this article discussed various parameters in which explained the various method of with respect to existing method to do the conversion of outperforms the previously reported method.

In this paper study for users have unquestionably profited from the rapidly changing paradigm of cloud computing. It employs virtual machines instead of actual equipment to host, store, and network multiple components, and it charges per use. As the amount of data being stored grows, so does the importance of load balancing as a research area. One of the most difficult problems in cloud computing is distributing the ever-changing burden among the nodes in an efficient manner known as load balancing. There are numerous load balancing methods in use today that considerably improve the efficiency and management of resources. We use cloud analyst as a simulator in this article to compare techniques with a single broker policy that helped boost cloud and related application performance.

The use of neural-network computational modules for radio frequency and microwave modelling and design has lately gained popularity as an uncommon but useful technique for this type of modelling and design. It is possible to train neural networks to study the behaviour of active and passive mechanisms and circuits. In this study, technologists will learn about what neural networks are and how they can be used to model microstrip patch antennas. An artificial neural network is used in this work to investigate in depth several designs and analysis methodologies for microstrip patch antennas. Various network structures are also discussed in this study for wireless communications. Microstrip antenna design has been presented and the use of ANN in microstrip antenna design are also shown in this article.