On the Use of Adaptive Loading algorithms in MIMO-OFDM Systems

Abstract- In this paper, Optimum adaptive loading algorithms are applied to Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system. Chaw’s and Compello’s algorithms have been implemented to obtain a bit and power allocation for each subcarrier assuming instantaneous channel knowledge. Channel matrix singular value decomposition (SVD) method has been employed in MIMO-OFDM system in order to overcome subchannel interference. The effectiveness of these techniques has demonstrated through the simulation of an Adaptive MIMO-OFDM system, and the comparison shown that the proposed algorithms ensure better performance in the case of MIMO vs. SISO

Quantitative Prediction of Twitter Message Dissemination: A Machine Learning Approach

Predicting the popularity of contents in social networks is quite important for several applications such as viral marketing, news propagation and personalization. In this work, we developed an statistical learning approach to predict the popularity of tweets in the twitter social network. We extracted several user-based, tweet-based and network-based features from each tweet and adopted several classifiers to predict the popularity of tweets. We model this problem with a binary classification problem where popular tweets are considered as the positive and non-popular tweets are considered as the negative class. Popularity is defined by a threshold which indicates how many time a tweet is retweeted. We defined several popularity thresholds and examined the performance of different classifiers based on different threshold values. Our experimental results show that there is no global best classifier for the problem of popularity prediction in twitter but depending on the dataset, popularity threshold and our interest, we can adopt an optimal classifier with a proper set of features for this task.Information ArchitectureMedia and Knowledge EngineeringElectrical Engineering, Mathematics and Computer Scienc

Service Architecture for 3rd Party Operator’s Participation

Abstract—Next generation networks with the idea of convergence of service and control layer in existing networks (fixed, mobile and data) and with the intention of providing services in an integrated network, has opened new horizon for telecom operators. On the other hand, economic problems have caused operators to look for new source of income including consider new services, subscription of more users and their promotion in using more network resources and easy participation of service providers or 3rd party operators in utilizing networks. With this requirement, an architecture based on next generation objectives for service layer is necessary. In this paper, a new architecture based on IMS model explains participation of 3rd party operators in creation and implementation of services on an integrated telecom network