Augmented reality (AR) technology is an advancement that allows users to see the real world through the use of a virtual device. The explosive manufacturing of mobile devices follows a rise in the popularity of mobile phones and allows the user to run AR applications based on the mobile with substantial mobility awareness. The new generation networking technology (e.g., 6G) serves as a challenge for upcoming AR applications to attain low latency and computationally enhanced during the time that mobile edge computing (MEC) allows the user to communicate easily with AR applications. However, previous work on mobile edge computing support AR may not perform as expected in many practical cases, such as irreparable network interruptions due to wireless connectivity instability and user mobility, which is defining feature of popular AR applications. To attain low latency, deploying computational and mobility, the MEC will perform a major role in either fifth generation (5G) or six-generation (6G) networking. This paper studies in general the AR concept and the utility of mobility management in MEC applications that can be implemented in the next generation of mobile by reviewing the user to connect their interface. This paper discusses augmented reality and mobility challenges. The future direction and solution for the implementation of AR based mobility aware and MEC are also analyzed. This survey will contribute a comprehensive of the issues associated with mobility management, specifically concerning augmented reality with mobility awareness in future.

Fifth-generation advanced (5G-A) and sixth-generation (6G) networks in ultra-dense and smart cities offer an efficient solution for addressing the growing number of mobile users while ensuring high throughput and full coverage. However, the handover decision (HOD) remains a critical challenge in wireless networks, especially for high-speed users in millimeter-wave (mmWave) communication environments. The present paper proposes a mobility-awareness HOD algorithm that combines two decision algorithms: reference signal received power (RSRP) and signal-to-interference-plus-noise ratio (SINR). The algorithm makes decisions based on real-time user experiences collected every 40 milliseconds during the user’s mobility. The research was conducted using MATLAB 2023a and advanced 5G and 6G tools. All system settings, functions, mobility models, and simulation criteria were defined based on 3GPP specifications. The algorithm guarantees high-quality connectivity and smooth user transitions across 5G and 6G networks under diverse mobility conditions. The results show that Systems 2 and 4 minimize 96.97% and 99.99% of handover ping-pong (HOPP) compared with Systems 1 and 3. The simulation results reveal that the proposed algorithms in Systems 2 and 4 provide noticeable enhancements in network performance, with radio quality metrics of 16.32% and 8.04% for RSRP, 168.99% and 407.31% for SINR levels, and 55.11% and 16.04% improvements in throughput across various mobile speed scenarios compared with Systems 1 and 3.