Radio resource scheduling in LTE-advanced system with carrier aggregation

This study attaches the downlink radio resource allocation problem in the LTE-Advanced system by introducing an enhanced cross component carrier proportional fair algorithm. The importance of the study comes from the fact that almost all prior studies were not able to create a balance between the throughput and fairness of the system to optimize its efficiency. Therefore, this study attempts to overcome this difficulty by proposing an enhanced cross component carrier proportional fair algorithm in order to maximize the system throughput while at the same time maintaining fairness of radio resource allocation among all UEs. The simulation results show that the proposed algorithm exceeds the previous studies, which involves that the enhancement of the algorithm manages to guarantee a balance between increasing the average system throughput and maintaining good fairness among all UEs

Enhancement resource scheduling algorithm in LTE-Advanced network with multiple component carriers

The LTE-Advanced transmission bandwidth can be expanded by Carrier Aggregation (CA), where CA technology expands effective bandwidth supported to user equipment (UE) by utilizing of radio resources across multiple carriers. This paper proposes novel packet scheduling (PS) condition algorithm that attractively enhances the average system throughput by designing a weighting factor to modified largest weighted delay first PS algorithm. The novel algorithm is implemented in a PS module for LTE-Advanced via system level simulations. The results demonstrate that the effectiveness of Enhanced M-LWDF algorithm in improving throughput

Survey on energy harvesting cognitive radio network

Energy harvesting network (EHN) is a trending topic among the recent researches. This substantial attention is due to the limitations, operational cost and risks of the conventional power suppliers, such as fossil fuel and batteries. Moreover, EHN are expected to enhance energy efficiency by harvesting energy of RF and renewable sources. In contemporary research works, EHN is applied to CR technology. This energy harvesting cognitive radio network (EHCRN) is expected to utilize both energy and electromagnetic spectrum efficiently. However, EH-CRN is facing enormous challenges related to technical design. Some of these challenges are reviewed in recent surveys. However, other challenges such as optimizing the network throughput and EH-CRN implementation models were not the focus of these researches. Therefore, the aim of this survey is to review EH-CRN research works by focusing the survey perspective on maximizing the network throughput and the implementation models

Fair scheduling algorithm in LTE-advanced networks

The Long Term Evolution Advanced (LTE-Advanced) transmission bandwidth can be expanded by Carrier Aggregation (CA), where CA technology expands effective bandwidth supported to User Equipment (UE) by utilizing of radio resources across multiple carriers. Recently, many studies have been conducted on the radio resource allocation with CA. However, most of these studies are based on Proportional Fair (PF) packet scheduling algorithms. Indeed, these algorithms are not adequate to meet the requirements for supporting mixture real-time applications; they ignored channel condition; and finally, they are unable to support real-time application with delay constraint. Therefore, this paper proposes novel Packet Scheduling (PS) condition algorithm that attractively enhances the average system throughput by designing a weighting factor to modified largest weighted delay first PS algorithm. The novel algorithm is implemented in a PS module for LTE-Advanced via system level simulations. The results demonstrate that the effectiveness of enhanced Modified Largest Weighted Delay First (M-LWDF) algorithm in improving throughput

A modified LTE simulator for 3D femtocell networks

Using simulation tools save the construction cost of the wireless system. It is not necessary to establish the system and test whether it is working properly or not. Therefore, simulation tools are required to be accurate, simple and with the minimum time. From the accuracy perspective, the stacked femtocells built in most available simulators in the literature are widely deployed horizontally. However, this is not the case in the indoor environment where femtocells have to be arranged vertically; such as, in residential towers where apartments are on the top of each other. In this paper, the state of the art of link and system level simulators is introduced. In addition, a three-dimensional (3D) system level simulator is developed in order to help the researcher in the Long Term Evolution (LTE) femtocell field to analyze and investigate more real scenarios of femtocell deployment. The developed simulator allows the researcher to locate a multi-story building in the region of interest, choose the number of floors, determine the ceiling height, and allocate the position of the femtocell inside the house