6g Mobile Networks: Research Trends, Challenges and Potential Solutions

Abstract

Since the standardization of 5G mobile networks has been completed, the deployments of 5G network has started all over the world. 5G mobile and wireless networks have achieved significant improvements in terms of latency, data rates, spectral efficiency, mobility and number of connected smart mobile devices. Therefore, they have marked the beginning of a true digital society. Although 5G network offers support of many broadband applications and services, still it may not be able to meet the rapid increase of the traffic demands. Therefore, the main research and development activities started to focus on the next 6G mobile and wireless network, which is expected to be commercially available around 2030. In this direction, this paper highlights the vision of the technologies used in 6G network, 6G network architecture, 6G network challenges and potential solutions.

Quality of Artificially Intelligently Orchestrated Services in 6g Mobile Networks

“…A comparison between 5G and 6G network parameters and requirements is given in [20,21]. All parameters such as traffic capacity, data rate, endto-end delay, processing delay, spectral and energy efficiency, etc.…”

“…End-to-end delay According to the 6G network roadmap given in [21] currently the academic and industrial researchers all over the world are working on the vision and the requirements of 6G network. The deployment of the first commercially available 6G network is expected to in 2030.…”

“…6G network would provide many new use cases, which cannot be completely supported by 5G [21]. Some of them are holographic telepresence, industrial automation (industry 4.0 transform), ehealth, tactile internet, augmented, and virtual reality.…”

“…The services in 6G network would require low latency, high reliability, high data rate, massive connectivity, and full mobility. Some of the possible 6G services are massive URLLC (mURLLC), enhanced mobile broadband URLLC (eURLLC), and massive eMBB (meMBB) [21].…”

“…The total typical value for RTT is around 0.1 ms, and it was already specified in [21]. For the simulation purposes here it is assumed, the end-user device to be served by any of the 5 AI data centers, and the values for the AI entities are randomly generated for both 𝑅𝑇𝑇 𝑒𝑑𝑔𝑒 and 𝑅𝑇𝑇 𝑐𝑜𝑟𝑒−𝑒𝑑𝑔𝑒 .…”