In this work, we investigate a novel framework for a traffic-aware multi-beam optimal resource allocation to serve fixed home users distributed over a geographical area in the presence of rain and foliage. The fixed home users in the geographical area of interest are served by small-cell next-generation node B (gNB) via multiple beams generated simultaneously by the uniform planar array (UPA) installed at the gNB. In this regard, we present a framework to compute the optimal coverage radius of the gNB to satisfy the desired quality of service (QoS) requirements of the users. We also derive the closed-form expression for the optimum coverage radius of the gNB, considering free space and foliage attenuation scenarios. We propose a graphical methodology to compute the optimal radius of gNB in free space propagation, rain, and foliage attenuation. Further, based on the location information of the users, we determine the optimal location of the gNB by leveraging the unsupervised machine learning (ML) framework. Finally, we investigate a non-linear programming (NLP)-based technique for allocating optimal power and bandwidth to each beam, constrained by total power and bandwidth availability at the gNB. The optimal beam resource allocation (power and bandwidth) strategy ensures that the requested data rate (traffic demand) is satisfied for each user served by each beam. The simulation results demonstrate the effectiveness of our proposed methodology to ensure high QoS for a larger number of users in the presence of rain and foliage as compared to genetic algorithm and surrogate optimization

This paper investigates the deployment of a cost- efficient fiber-wireless (FiWi) access network with joint utilization of fixed wireless access (FWA) and fiber-to-the-home (FTTH) technologies. In this work, we consider that residential users over a geographical area are to be provided with network services, constrained by the available network resources. We explore the implementation of hybrid FiWi access network that integrates a fiber-based passive optical network (PON) and fifth-generation (5G) wireless access network to provide efficient network services. This paper proposes a methodology for topology optimization of FiWi access networks, considering the usage of three dimensional (3D) beamforming and 3D resource grid for downlink transmission from the gNB to the users in 5G scenario. We derive the beam codebook and generate multiple beams to simultaneously serve the spatially separated users. We derive the closed-form expression for millimeter-wave channel model incorporating large-scale and small-scale parameters to compute the effective SINR of users. Further, we propose an optimization framework for optimal resource allocation (i.e., beam and resource block) by utilizing the 3D resource grid for downlink transmission. We perform extensive simulations to demonstrate the effectiveness of the proposed methodology for various 3GPP 5G outdoor propagation scenarios, viz., RMa, UMa, and UMi-street canyon.