Abstract LTE is a mobile communication standard, which was introduced by 3GPP. LTE is fastest and latest technology with revolutionary data rate, high spectral efficiency, high user fairness, useful bandwidth, high throughput, less delay and low packet loss ratio etc. LTE support many applications. LTE in its services is facing many problems like improper scheduling, allocation of improper resources and unequal fairness to the... LTE is a mobile communication standard, which was introduced by 3GPP. LTE is fastest and latest technology with revolutionary data rate, high spectral efficiency, high user fairness, useful bandwidth, high throughput, less delay and low packet loss ratio etc. LTE support many applications. LTE in its services is facing many problems like improper scheduling, allocation of improper resources and unequal fairness to the user end devices. Goal of this paper is investigating downlink scheduling algorithms, to check the best one in multiple scenarios specifically for real time applications like video and VoIP in already existing algorithms. The best one algorithm will be more optimal with fairness, throughput, packet loss ratio, high spectral efficiency and proper allocation of resources to the user end devices. This paper also provides better understanding about fairness in detail. Read More Read Less

Abstract The Information and Communication Technologies (ICT) includes cellular phones, the internet, computer hardware and software, television and with the help of devices, software and applications it penetrates the communication world. This paper has discussed the network governance model in detail. The technology standards, security and governance of regulations are also widely addressed.... The Information and Communication Technologies (ICT) includes cellular phones, the internet, computer hardware and software, television and with the help of devices, software and applications it penetrates the communication world. This paper has discussed the network governance model in detail. The technology standards, security and governance of regulations are also widely addressed. Read More Read Less

Abstract Nowadays, the role of software has becoming increasingly important in many safety-critical applications and the reliability is a key issue in the software systems. One of the ways for improving software Reliability is predicting its faults before tasting phase. Ability of predicting fault–proneness software modules can reduce software testing cost and consequently overall software project cost. In this paper, a combined method... Nowadays, the role of software has becoming increasingly important in many safety-critical applications and the reliability is a key issue in the software systems. One of the ways for improving software Reliability is predicting its faults before tasting phase. Ability of predicting fault–proneness software modules can reduce software testing cost and consequently overall software project cost. In this paper, a combined method includes Neural Network and Naive Bayes algorithm are used to build a software fault prediction-model. Five traditional fault-datasets are used to construct and evaluate the prediction model using proposed method. The results of experiments indicate that the constructed model by the proposed method have higher prediction accuracy and precision than the other methods. Read More Read Less