M.Hawej Channel Estimation for Reconfigurable Intelligent Surfaces (RIS) Assisted based on Orthogonal Matching Pursuit (OMP) algorithm

2023-11-01T10:36:17+00:00

The tremendous demand for reliable high-speed broadband wireless links is expected to continue growing due to the rapid increase in the number of users, amount of data traffic, and number of applications. The Reconfigurable Intelligent Surfaces (RIS) has been promised as a potential technique for future Sixth-Generation (6G) communication systems. The RIS can passively phase-shift the electromagnetic waves to enhance coverage and capacity at low power and hardware costs. It can provide high beamforming gain that requires accurate channel state information (CSI). The CSI acquisition is too hard to develop for two reasons: First, the passive nature of RIS does not allow the transfer and processing of pilot signals. Second, the dimensions of the cascaded channel between transceivers increase with the large number of RIS elements, which yields high training overhead and computational complexity. In this project, a Time Division Duplex (TDD)-RIS-assisted system is considered, where the CSI in the downlink can be obtained based on the estimated uplink channel. In addition, the cascaded channel i.e. (The cascade of User-RIS and RIS-base station (BS) channels) in RIS-assisted systems shows the sparsity when transformed into the angular domain. Therefore, the channel estimation in the TDD-RIS-assisted system is formulated as a sparse signal recovery problem, which Compressed Sensing (CS) algorithms can solve, especially Orthogonal Matching Pursuit (OMP) algorithm and Double Structure-OMP (DS-OMP) approach. The Simulation results demonstrate our proposed OMP approach has significantly improvement compared to the conventional least square estimator. Furthermore, the DS-OMP approach has a slight improvement over the OMP algorithm in terms of Normalized Mean Square Error (NMSE) performance. On the other hand, the OMP has less complexity than the DS-OMP.

Design and Simulation of Automatic Pasta Machine

2023-12-28T07:44:00+00:00

The cost of living in most countries is going up with time, which causes people to work harder for longer period of times to meet their needs. This made doing their everyday tasks like laundry and preparing daily meals harder as the free time is shorter. Healthy living requires doing a number of tasks, such as cleaning the house, cooking the meals exercising, entertainment …etc., all of this should be done in the free time. Some people do not know how to cook, while others do not have the time and sometimes, may not have the mood to cook. That causes people to rely on buying food or eating unhealthy and bad quality food like sandwiches and fast food. A good solution for the food problem is designing a robot or an automatic machine that can cook a good food with no, or limited, supervision. Having such a robot, also allows doing other tasks. In this paper, an Arduino powered pasta machine is proposed and simulated. The user puts the ingredients in the machine, then the machine starts cooking immediately or after a specified period of time. It is designed with the a focus on utilizing locally available parts. The simulation was carried out using Proteus Design Suite.

Elmergib Journal Of Electrical and Electronic Engineering ISSN: 2959-0450

M.Hawej Channel Estimation for Reconfigurable Intelligent Surfaces (RIS) Assisted based on Orthogonal Matching Pursuit (OMP) algorithm

Design and Simulation of Automatic Pasta Machine