Adaptive ABC Algorithm Based PTS Scheme for PAPR Reduction in MIMO-OFDM
Journal Title: International Journal of Intelligent Engineering and Systems - Year 2017, Vol 10, Issue 2
Abstract
The OFDM signals which have a broad peak-to-average power ratio is a basic prerequisite to be settled. The Orthogonal Frequency Division Multiplexing (OFDM) traces the Partial transmit sequences (PTS) which is one among the appealing procedures to diminish the peak-to-average power ratio (PAPR). An issue of modern computational multifaceted nature happens in The PTS scheme when prevalent quantities of sub blocks were consumed. In this article, another PTS scheme has been industrialized so as to decline the PAPR by picking the ideal stage factor esteem by means a versatile ABC optimization process. At the point when associated with MIMO-OFDM structures with a broad assortment of phase factors ABC based PTS calculation achieves about elite after simulation. It can essentially diminish the computational intricacy for bigger PTS subblocks and offers lower PAPR in the meantime. The anticipated philosophy is connected in the working stage of MATLAB and the utilitarian solutions were incited and researched.
Authors and Affiliations
Vijayalakshmi Maddala
Grey Fuzzy Neural Network-Based Hybrid Model for Missing Data Imputation in Mixed Database
Nowadays, the missing data imputation is the novel paradigm to replace with the imputed value of the missing attribute. The missing data occurs due to bias information, non-response of the system. In the medical domain,...
Classification of Imbalanced Data Using a Modified Fuzzy-Neighbor Weighted Approach
Classification of imbalanced datasets is one of the widely explored challenges of the decade. The imbalance occurs in many real world datasets due to uneven distribution of data into classes, i.e. one class has more inst...
Opposition Learning-Based Grey Wolf Optimizer Algorithm for Parallel Machine Scheduling in Cloud Environment
Cloud computing is a novel developing computing paradigm where implementations, information, and IT services are given over the internet. The parallel-machine scheduling (Task-Resource) is the important role in cloud com...
Cyclic Repeated Patterns in Sequential Pattern Mining Based on the Fuzzy C-Means Clustering and Association Rule Mining Technique
The main aim of the proposed method is to remove cyclic repeated patterns in sequential pattern mining. Initially the input dataset is fed to the clustering process, in which fuzzy c means clustering algorithm is used to...
Energy-Aware Fruitfly Optimisation Algorithm for Load Balancing in Cloud Computing Environments
An effective task scheduling is one of the vital aspects for effectually hitching the potential of cloud computing. The most important aspect of task scheduling focuses on balancing the load of tasks among virtual machi...