analysis of beamforming in MU-MIMO systems for Rayleigh fading channels. IEEE Access, 5, pp. 3709-3720, 2017. 17. Moinuddin, M. Al-Saggaf, U. M. and Hassan, A. K. King Abdulaziz University, Processing blind beamforming for multi-user multiple-input multiple-output (MU- MIMO) systems. U.S. Patent 11,252,045, 2022. 18. Hassan, A. K. Moinuddin, M. Al-Saggaf, U. M. Aldayel, O. Davidson, T. N. and Al- Naffouri, T. Y. Performance Analysis and Joint Statistical Beamformer Design for Multi-User MIMO Systems. IEEE Commun. Let., vol. 24, no. 10, pp. 2152-6. Oct. 2020. doi: 10.1109/LCOMM.2020.3001556 5G Enabled Network Technology Trends for Smart Healthcare Systems Satyanand Singh CONTENTS Introduction Capabilities and Challenges of 5G to Enhance Future Healthcare Systems 4.2.1 Zero Trust Approach 4.2.2 Universal Code 4.2.3 AI Orchestration 5G Role in Remote Healthcare Potentials The AI and ML Impact on Smart Healthcare Systems Driven by 5G Future New Healthcare Ecosystems with 5G Personalized Healthcare System: Roles of 5G Conclusion References 4.1 INTRODUCTION Smart healthcare allows innovative medical software to provide patients with advanced medication and smart healthcare devices to increase the quality of healthcare by delivering real-time data for vital signs [1]. The aim of smart healthcare is to make it easier for patients to be provided with knowledge about medical conditions and their solutions. In the event of critical situations, smart healthcare encourages patients to take effective measures [2]. It helps remote check-up services by making use of 5G to minimize spending on medication and supports healthcare providers in the expansion of their services without geographical limits [3]. With the growth of smart cities, a comprehensive smart healthcare infrastructure is needed to ensure that people access health services. Owing to the massive population growth, conventional healthcare is unable to meet the needs of everybody. Health facilities are not available or affordable to all, despite providing an exemplary