The world is now turning towards automation also the use of virtual reality is expanding day by day, the need for faster and reliable communication has been increased. This technology will play a key role towards the development of Smart Cities, where government is majorly focusing. The urge of quicker and more secure communication (wireless) is making us switch towards the 6G or sixth generation communication. To the benefit of its citizens and businesses, a smart city is a location where the traditional networks and services have been enhanced via the use of digital and telecommunication technology. Infrastructure, social capital, which also includes traditional skills and community institutions, and digital technologies are all combined in smart cities to promote sustainable economic growth and provide a desirable environment for all residents. By 2035, the publisher believes that as smart city infrastructure develops, 6G will be a crucial component of communications, applications, content, and commerce in smart cities. We go over the progress of beyond 5G and advanced 5G features in order to forecast important 6G requirements and showcase 6G potential. In comparison to 5G, we will also discuss 6G scenarios, requirements, and technology components. There are lots of challenges associated with 5G’s wireless communication network one of them is limited data speed. We will also be focusing on these challenges associated with technology and also the plans to use this technology towards the development of smart cities. The 5G wireless communication network is currently facing the challenge of limited data speed and billions of data-intensive applications are used. To resolve this problem many developers and researchers are working on advanced technologies so that they can consummate the wireless service demands. So that we can shift ourselves from 5G to 6G and fulfil our expectations towards smart city. In addition, there are varied use cases of the wireless 6G technology in education, media and entertainment, tourism.

Due to the increased strain each new Internet-connected item puts on the IPv4 infrastructure, the emergence of additional Internet-connected places and devices has accelerated IPv4 exhaustion. Service providers have been obliged to invest in infrastructure to handle greater traffic due to unexpected growth in subscribers and linked IoT devices. Service providers are struggling to maintain growth and business continuity due to the expiration of IPv4 globally and the adoption of IPv6. There is strongly a need to address both a short-term solution for the maintenance of their current IPv4 address allocation and a long-term solution for a seamless transition to an IPv6 infrastructure, various service providers will need to design an address translation strategy. This paper presents a solution using CGNAT towards the migration of IPv6 networks. A general overview of the various parts needed to manage the depletion of IPv4 addressing and the engagement of full carrier grade network address translation solution is also discussed in this paper along with the different types of NAT.

One day IPv6 is going to be the default protocol used over the internet. But till then we are going to have the networks which IPv4, IPv6 or both networks. There are a number of migration technologies which support this transition like dual stack, tunneling & header translation. In this paper we are improving the efficiency of IPv6 tunneling mechanism, by compressing the IPv6 header of the tunneled packet as IPv6 header is of largest length of 40 bytes. Here the tunnel is a multi hop wireless tunnel and results are analyzed on the basis of varying bandwidth of wireless network. Here different network performance parameters like throughput, End-to-End delay, Jitter, and Packet delivery ratio are taken into account and the results are compared with uncompressed network. We have used Qualnet 5.1 Simulator and the simulation results shows that using header compression over multi hop IPv6 tunnel results in better network performance and bandwidth savings than uncompressed network.