This paper proposes a beamforming technique based on finding the optimum current
weights using comprehensive learning particle swarm optimizer (CLPSO) for side-lobe level …

In this paper, we propose a scheme for beam-pointing from a high altitude platform (HAP) for
contiguous coverage delivery within an extended service area. The scheme, which …

In this paper, we propose a novel Deep Reinforcement Learning Evolution Algorithm
(DRLEA) method to control the antenna parameters of the High-Altitude Platform Station …

Stratospheric platform (SP) is a new technique for providing mobile and data
communications and is capable to add many advantages to the users compared to …

Interest in delivering cellular communication using a high-altitude platform (HAP) is
increasing partly due to its wide coverage capability. In this paper, we formulate analytical …

In this paper, we propose a Mean Field reinforcement learning (MFRL) method for dynamic
antenna control in High-Altitude-Platform-Station (HAPS) communication system with Multi …

In this research, we propose a novel antenna control method for reducing the number of low
throughput User Equipments (UEs) caused by the movement and rotation of High-altitude …

In this paper, a concentric circular antenna array (CCA) is proposed to improve the
performance of High-Altitude Platform Wireless Sensor Network (HAPWSN). This CCA is …

This paper presents a geometrically based method for the calculation of the node-to-node
distance distribution function in circular-shaped networks. In our approach, this function is …

This paper proposes a novel beamforming technique to form an arbitrary-shaped cell for the
high altitude platforms (HAPs) mobile communications. The new technique is based on …