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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
January 2016 | Vol. 83 No.3

Title:	ANALYSIS OF EFFECTIVENESS OF USING SIMPLE QUEUE WITH PER CONNECTION QUEUE (PCQ) IN THE BANDWIDTH MANAGEMENT (A CASE STUDY AT THE ACADEMY OF INFORMATION MANAGEMENT AND COMPUTER MATARAM (AMIKOM) MATARAM)
Author:	RAMADHAN ALI AKBAR AMIN, RICHARDUS EKO INDRAJIT
Abstract:	To obtain the information from the internet, a good internet network is required so that the users can search for information comfortably and easily. One of the problems is that there is no bandwidth management and the connection is bad and slow due to the users who are downloading or streaming. Downloading and streaming required a large banwidth so that the users can get good connection. In managing bandwidth, Simple Queue and Per Connection Queue on mikrotik because they have similarity. However, they also have the difference on the effectiveness with configuration and result.
Keywords:	Bandwidth Management, Internet, Mikrotik, PCQ, Simple Queue, Questionnaire.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	IMPROVING THE PERFORMANCE OF OUTLIER DETECTION METHODS FOR CATEGORICAL DATA BY USING WEIGHTING FUNCTION
Author:	NUR ROKHMAN, SUBANAR, EDI WINARKO
Abstract:	Outliers are uncommon events in real life. For a database processing, outlier means unusual records comparing to the remaining records. An outlier can be caused by a damage of a system. A new fact in a system can also cause outliers. Outlier detection is an important task to find an exceptional data. Outlier detection methods for categorical data such as AVF, MR-AVF, AEVF, NAVF, OPAVF, WDOD, and FuzzyAVF work base on the attribute value data frequency. These methods start the outlier detection process by calculating the data of attribute value frequency on each attribute. Then, many complicated calculations based on the various mathematical background are carried out to find the outlier by using the data of attribute value frequency. All the methods above do not take into account on the sparseness of each attribute. In this paper, weighting functions is used to take into account the sparseness of each attribute. AVF and WDOD methods are modified by using weighting function. The performance of these modified methods is observed based on the detected outlier of UCI Machine Learning datasets. The experiment shows that weighting function can improve the performance of AVF and WDOD on the outlier detection in Adult, Mushroom, and Nursery datasets.
Keywords:	Outlier Detection, Categorical Data, Weighting Function.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	AN EFFICIENT CLOUD BASED KEY AGGREGATE DATA SHARING
Author:	P.SRINIVAS KUMAR, Dr.B.THIRUMALA RAO
Abstract:	Cloud Infra contains a gathering of capacity servers, giving a fantasy of boundless stockpiling what's more, getting to. Security is one of the basic segments of such a framework. Putting away information at a remote outsider's cloud framework is continually bringing on genuine worry over information classification and survivability. Numerous encryption plans secure information trustworthiness, however they constrain the usefulness of the information proprietor particularly concerning disavowal on the grounds that a solitary key based assurance plans are utilized for encoded information. So we propose another cryptosystems that can create a settled estimated information securing keys such that an information appointment occasion requires allocating an arrangement of irregular keys to arbitrary customers as decoding rights for particular arrangement of figured substance. An fascinating element is that one can total numerous arrangement of mystery keys from single mystery solidarity and at the same time making them as reduced as could be allowed simply like their guardian single solidarity, yet at same time pressing the force of the considerable number of keys being collected that can interestingly allocated to a client. The JSON Web Algorithms (JWA) detail registers cryptographic calculations and identifiers to be utilized with the JSON Web Signature (JWS) [JWS], JSON Web Encryption (JWE) [JWE], and JSON Web Key (JWK)[JWK] particulars. It characterizes a few IANA registries for these identifiers. Every one of these details use Java Script Object Notation (JSON) based information structures. This is utilized to produce comparable script picture era for handling effective capacity in distributed computing. Our trial results show proficient execution environment on assessing script picture partaking in cloud.
Keywords:	Cloud Computing, Attribute Based Encryption, Scalable And Reliable Data Encryption And Decryption, Secure Hashing.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	ACHIEVING QOS REQUIREMENTS USING EVOLUTIONARY COMPUTATION SCHEDULING SCHEMES IN 802.16 NETWORKS
Author:	UMMITI SREENIVASULU, DR. PV. NAGANJANEYULU , DR. MN. GIRIPRASAD
Abstract:	The exponential growth observed in the arena of wireless access technologies predominantly in the IEEE 802.16 networks put forth’s a large overhead in the uplink scheduling schemes particularly when rendering real time services. This paper introduces an evolutionary computation based uplink scheduling scheme (ESS) with Quality of Service (QoS) gurantee. A service threshold time is introduced in the ESS scheme to meet the QoS requirements and it determines the adaptive weights assigned to the service. The base station based on the weights ascertains the modulation scheme required to evade QoS violation and constructs the scheduling set. In addition of the adaptive weights the channel interference parameters is also considered to construct the scheduling set. The scheduling set is optimized to achieve the desired QoS parameters utilizing evolutionary computation techniques. The performance of ESS scheduling scheme is evaluated and the results obtained not only prove higher slot success rates, higher system throughput but also prove its QoS provisioning competence and its efficiency over an existing scheduling scheme.
Keywords:	MIMO, OFDMA, IEEE 802.16, Evolutionary Computing, Quality of Service (QoS), Uplink (UL), Uplink Scheduling, Adaptive weights, Service Threshold Time, Optimization
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	A NON-BLIND ROBUST WATERMARKING APPROACH FOR 3D MESH MODELS
Author:	OLA M. EL ZEIN, LAMIAA M. EL BAKRAWY, NEVEEN I. GHALI
Abstract:	This paper presents non-blind and robust watermarking approach for three-dimensional (3D) mesh models using K-means clustering technique. K-means clustering technique is used to cluster 3D mesh vertices into suitable or non-suitable watermark carrier based on feature vector. Then the watermark is inserted in the selected vertices for being carrier watermark that come out from K-means clustering technique and the other vertices are ignored. The watermark insertion is done by modifying the vertex position without causing perceptible distortion to 3D mesh models. Experimental results show that our watermarking approach is imperceptible and robust against different geometric attacks such as noise addition, cropping and mesh smoothing.
Keywords:	Digital Watermarking, K-Means Clustering Technique, 3D Mesh, Feature Vector, 1-Ring Neighborhood
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	FORECASTING THE CASE OF TRAFFIC ACCIDENTS THROUGH THE GEOGRAPHIC INFORMATION SYSTEM (GIS) APPLICATION METHOD WITH DOUBLE EXPONENTIAL SMOOTHING AND ANALYTICAL HIERARCHY PROCESS (AHP) IN CITY OF JAYAPURA-PAPUA
Author:	CHALEB O.L. PANYUWA, EKO SEDIYONO, ADE IRIANI
Abstract:	Traffic accidents is a problem that needs great attention from all parties, both government and society. Traffic accidents has high cases in Indonesia can caused by various factors, namely: environmental factors (nature), the driver and the road. The aim of this study is to provide constructive advice to Traffic Officer of Jayapura to facilitate the countermeasures of cases Traffic Accident in the City of Jayapura with the presentation of accurate data information so that, it can be set the right solution to fight and prevent cases of Traffic Accident in the City of Jayapura. Double Exponential Smoothing methods used to forecast the vulnerable data to Traffic Accident and AHP is used to determine the dominant criteria. The results of AHP in visualized in the form of GIS. Through the application of WebGIS Traffic Officer can present the accurate data to support the process of countermeasures and prevention the cases of Traffic Accident in the City of Jayapura, so as to provide good performance for Traffic Officer in Jayapura.
Keywords:	Traffic Accidents, Double Exponential Smoothing, Analytical Hierarchy Process, Geographic Information System.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	ANALYSIS AND IMPROVEMENT ON STATISTICAL NATURALNESS MEASURE
Author:	NUR HALILAH BINTI ISMAIL, SOONG-DER CHEN
Abstract:	Although Statistical Naturalness Measure (SNM) can rate the naturalness of image’s contrast relatively well, but it suffers from the problem of inconsistent rating across different spatial resolution; ratings for images with identical content and contrast level but different spatial resolution might be significantly different. The statistical model SNM was developed upon sample images with certain spatial resolution and the contrast was defined using a specific block size. This paper suggests that the problem is due to the computation of contrast using fixed block size regardless of the spatial resolution of the input image. It is proposed to rescale the block size based on the spatial resolution of input image to keep the ratio of block size to image size similar to those of the sample images used in developing the statistical model of SNM. The proposed method is tested and proven statistically to be effective in reducing the inconsistency in the ratings of images across different spatial resolution such there is no significant difference among them.
Keywords:	Naturalness, Contrast, Statistical Naturalness, Contrast, Image Quality Assessment Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	AN EMPIRICAL STUDY ON SUCCESS FACTORS TO ENHANCE CUSTOMER TRUST FOR MOBILE COMMERCE IN SMALL AND MEDIUM-SIZED TOURISM ENTERPRISES (SMTES) IN JORDAN
Author:	SALEH ALQATAN, NOOR MAIZURA MOHAMAD NOOR, MUSTAFA MAN, ROSMAYATI MOHEMAD
Abstract:	Even though mobile technologies and wireless communication are growing at a very rapid phase all over the world, still the development of mobile commerce is hindered by a lot of aspects. Researchers all over the world are actively studying on this domain to understand the factors that affect the acceptance of M-commerce. A lot of studies have recognized that 'trust' is an crucial factor that impacts the acceptance of M-commerce in a lot of domains, including the Small and Medium-sized Tourism Enterprises (SMTEs). Nevertheless it is not an easy task to make the customers to trust M-commerce for various reasons. Furthermore, trust has been identified as a major obstacle of mobile commerce applications. Drawn from previous literatures on trust in the information system and M-commerce, this study proposed a new model for investigating trust in M-commerce acceptance by SMTEs in developing countries, which focused on Jordan. The study distributed the questionnaire to 361 respondents employed in Jordanian SMTEs. The trust factors were investigated to assess their influence on user’s trust in M-commerce applications for SMTEs via descriptive and inferential statistical analysis. Results of the analysis revealed that all factors, except for ‘structural assurance’ and ‘calculative-based trust’, affect the user’s trust in such applications. The study provides a clear understanding of decision maker’s perception about M-commerce acceptance in their businesses. This study is important in a global context, as SMTEs in Jordan are going for exporting their product in the global marketplace.
Keywords:	Customer Trust, M-Commerce, Smtes, Jordan, Trust Model
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	CLASSIFICATION OF GENES FOR DISEASE IDENTIFICATION USING DATA MINING TECHNIQUES
Author:	P M BOOMA, DR.S.PRABHAKARAN
Abstract:	Scientists are nowadays providing great awareness about microarray gene expression dataset. Researches tell that data mining fails to recognize the most important biological associations between genes. Recently biological information mining using clustering techniques were used for the analytical evaluation of gene expression. There are many challenges exist in the existing methods. Optimization Algorithm for multi dimensional search space does not provide relational optimization result on varying gene expressional problems. The existing method solves the clustering problem, but bi-cluster based gene expression information was not extracted. A key point on existing work was to handle multi modal structure optimization problems with effective searching process, but it does not offer relational sequence optimized result on the associated gene data. To overcome the above issues, the proposed research is developed. The objective of the proposed research is to extract the biological information and identify the relational sequences on gene expression to identify abnormal genes. The proposed techniques like biological process on physiological data, PCPHC and Bi-clustered Ant Optimized Feature Relational Sequencing extract the biological process information from gene expression datasets. These techniques are tested on various bench marked datasets called Cancer Gene Expression datasets Broad Institute repository for experimental evaluation of the proposed method with an existing method, which identifies and extracts the hidden information from datasets. Finally, the gene patterns were verified as normal or abnormal on the basis of simple pattern matching process.
Keywords:	Gene Expression Datasets, Heuristic Search, Hierarchical Clustering Model, Feature Relational Sequencing
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	AN ANALYSIS OF IMAGE QUALITY ASSESSMENT ALGORITHM TO DETECT THE PRESENCE OF UNNATURAL CONTRAST ENHANCEMENT
Author:	NUR HALILAH BINTI ISMAIL, SOONG-DER CHEN, LIANG SHING NG, ABD RAHMAN RAMLI
Abstract:	Image contrast enhancement purposely aim the visibility of image to be increased. Most of these problems may happen after contrast enhancement: amplification of noise artifacts, saturation-loss of details, excessive brightness change and unnatural contrast enhancement. The main objective of this paper is to present an extensive review on existing Image Quality Assessment Algorithm (IQA) in order to detect the presence of unnatural contrast enhancement. Basically, the IQA used produced quality rating of the image while consistently with human visual perception. Current IQA to detect presence of unnatural contrast enhancement: Lightness Order Error (LOE), Structure Measure Operator (SMO) and Statistical Naturalness Measure (SNM). However, result of current IQA evaluation shows it may not giving consistent quality rating with human visual perception. Among three IQAs, SNM demonstrate better performance compared to LOE and SMO. But, it suffers with consistent rating for different spatial image resolution in same image content. Thus, an improvement suggested in this paper to overcome such problem occurred.
Keywords:	Contrast Enhancement, Unnatural Enhancement, Contrast Naturalness, Naturalness Quality
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	CENTRALIZED AVAILABILITY ASSURANCE FOR DISTRIBUTED ELECTRONIC MEDICAL RECORD DATA
Author:	YB DWI SETIANTO, SHINTA ESTRI WAHYUNINGRUM
Abstract:	Many developed countries have started to adopt Electronic Medical Records (EMR) to improve their health care system. In the implementation of EMR, security and privacy factors are of great concern, and one of the main aspects of access security assurances is the assurance of data availability when they are needed. Thus, it is very important to be able to provide a valid EMR data availability assurance for the patients when it is needed. However, in our country, nationally centralized availability assurances have not been available yet. This paper proposed a system of centralized EMR data availability assurance utilizing the checksum data generated from the hash function.
Keywords:	Electronic Medical Rrecord, Security ,Availabiliy Assurance, Health Network
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	SPEED CONTROL OF THE DOUBLY FED INDUCTION GENERATOR APPLIED TO A WIND SYSTEM
Author:	HALA ALAMI AROUSSI, ELMOSTAFA ZIANI, BADRE BOSSOUFI
Abstract:	This paper presents a nonlinear control of doubly fed induction generator (DFIG) integrated with a wind system. Initially, we propose a model of wind turbine and generator in order to apply the Field Orientation Control (FOC) approach. The Vector Control is still the most commonly used for the control of power and reactive powers, as well as in many industrial systems especially in production of electrical energy. Next, the synthesis of a proportional-integral regulator (PI) is presented. Subsequently, a technical control for wind energy systems is developed. The principle of this control is to direct the flux vector to make the doubly fed induction machine similar control standpoint to a separately excited DC machine. The performance’s system is analyzed and compared with a validation on the environment Matlab / Simulink.
Keywords:	DFIG, Vector Control, Wind Energy, PI Controller
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	A NEW SOFT COMPUTING TECHNIQUE FOR EFFICIENT RULE MINING
Author:	SIJI P D , DR.M.L.VALARMATHI , S.MOHANA
Abstract:	This paper proposed a prediction model based on Fuzzy Association Rule (FARs). Present a two model; it is the integration of the Fuzzy C-Means (FCM) and Multiple Support Apriori (MS apriori). Even though, enhancing the knowledge from the large dataset, give large amount of data. So reduce some amount of data through hybrid approach of Genetic algorithm (GA) with Particle Swarm Optimation (PSO), both useful for the fuzzy association rule. Extraction of knowledge process is performed thorough betathalesemia Dataset. FCM and MSapriori model is used to extract the FARs. experimental result proves the proposed model of hybrid feature reduction with FCM-MS apriori model is effectively predict the knowledge from the large database compared to other prediction model.
Keywords:	Association Mining, Fuzzy Rule, Genetic Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	NEW VARIABLE NEIGHBORHOOD SEARCH METHOD FOR A TWO LEVEL CAPACITATED LOCATION ALLOCATION PROBLEM
Author:	A.AIT BASSOU , M.HLYAL , A.SOULHI, J. EL ALAMI
Abstract:	The distribution network design is placed as strategic choice that have an influence either in the commercial issue as the tactical action or in operational management of the supply chain. Numerous economical decision problems concern selecting and or locating certain facilities to satisfy, efficiently, a given demands points. This article aims to provide a resolution for a facility location allocation problem in a distribution network. We focus on the choice of stores locations. These are designed to meet customer demands. Indeed, we consider the majority of economic parameters to fulfill a model of the distribution network, similar to a Two Level Capacitated Location Allocation Problem TLCLAP. A new Variable Neighborhood Search approach is proposed to resolve the problem.
Keywords:	Variable Neighborhood Search, Supply Chain Management, Location-Allocation Problem
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	AUTOMATED SERVICE IDENTIFICATION FRAMEWORK (ASIF)
Author:	ALI TAEI ZADEH, MURIATI MUKHTAR, SHAHNORBANUN SAHRAN, ZAHRA LOTFI
Abstract:	Service oriented architecture (SOA) has been used to achieve business-IT alignment in industries for recent years. Service identification represents the first phase in service modeling, a necessary step in SOA. Reviewing existing service identification methods (SIMs) reveals the lack of business alignment, automation, and quality of services as challenging issues. Hence, the main aim of this research is to propose a service identification framework (ASIF) that results in the automated identification of business aligned services which satisfy service quality factors such as cohesion, coupling and reusability. ASIF relies on business aligned entities based on business processes and business goals as unique sources of inputs to guarantee delivery of business aligned services. The proposed ASIF will serve as a comprehensive guideline for service identification that spans from scope determination to refinement of service candidates. In order to achieve this goal, it is necessary to firstly identify and select suitable SIM input types and secondly, to determine appropriate techniques to extract services automatically. Subsequently, the proposed framework is then validated and finally an ASIF tool to support automation is developed.
Keywords:	SOA, service identification, AHP, Business-IT alignment, automated tool, BPMN, KAOS
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	PLAYABILITY AND SOCIAL EXPERIENCES: AN ACCEPTANCE STUDY OF INTERACTIVE VIDEO PUZZLE TECHNOLOGY IN PRESCHOOL SETTING
Author:	LIEW TZE HUI, LAU SIONG HOE, HISHAMUDDIN ISMAIL, AFIZAN AZMAN, TEOH KUNG KEAT
Abstract:	Interactive Video Puzzle Based Learning solution is designed to better utilize children's strengths and creativity to solve “unstructured” problems in an entertaining ways. Any interactive learning technology will not be a success without acceptance and usage by the target population. The interactive video puzzle prototype was tested using interactive playability and social usability attributes. Interactive playability explain the capability of video puzzle game to provide enjoyment for children player, while social usability is used to explain the predictors that will improve the ease of children-computer-children interactions. In this paper, we employed interactive playability and social usability attributes in explaining interactive video puzzle learning technology acceptance in preschool setting. Interactive Video Puzzle Acceptance Model had been employed to evaluate the acceptance of video puzzle technology. Results indicated that interactive playability and social usability does matter to children. The feedbacks from the study highlighted that the fact children’s preference is for fun in video puzzle learning activities, which is no surprise. Furthermore, the children perceived that their teacher would choose the interactive video puzzle learning solution on how good it was for their learning. In particular, this paper is aimed to introduce an initial attempt to test the interactive playability and social usability attributes to predict children’s acceptance of interactive video puzzle in preschool setting.
Keywords:	Video Puzzle, Interactive Playability, Social Usability, Video Puzzle Based Learning, Problem Solving Kit
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	PERFORMANCE ANALYSIS OF COOPERATIVE COMMUNICATION SYSTEMS USING WIRELESS OPEN ACCESS RESEARCH PLATFORM FOR INDOOR AND OUTDOOR ENVIRONMENT
Author:	SUWADI, TITIEK SURYANI, IDA ANISAH
Abstract:	Effect of multipath fading can decrease the performance of wireless communication systems. The multi-input multi-output (MIMO) technique, which uses multiple antennas, often used to overcome multipath fading. This technique is one of the diversity techniques. Some wireless devices have limitation about the size, cost, and hardware complexity, so there can not implement a multiple antenna. Then, new technique has been developed to overcome these limitations, there was called cooperative communication systems. Although the cooperative communication system has been widely studied, but it was not much researcher already implemented this system. Therefore, this study will be conducted a simulation and implementation of cooperative communication system on Wireless Open Access Research Platform (WARP) module using Demodulate and Forward relaying techniques with Maximum Ratio Combining (MRC) and Selection Combining (SC). In this research will compare the performance of cooperative communication system with non-cooperative communication system, i.e. Single Input Single Ouput (SISO) and multi-hop to evaluate the BER performance as function of the transmit power and distance variation. At the first scheme of BER measurement, the distance between the source and the destination was fixed as 6 meters, relay was right in the middle, and the transmit power be varied from -39.67 dBm to -11.47 dBm. In the second scheme, the transmit power was be adjusted -39.67 dBm, the distance between the source and destination in a variation of 1 meter to 6 meters. The results of measurement showed that cooperative communication system with MRC better than SISO communication systems, multi-hop communication and cooperative communication system with SC for indoor or outdoor environment.
Keywords:	Cooperative Communication System, Relay, Demodulate And Forward, MRC, SC, WARP
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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Title:	A NOVEL LOW-COMPLEXITY SUB-BLOCK NLMS-DRMTA ALGORITHM FOR BLIND MULTIUSER DETECTION IN WCDMA SYSTEMS
Author:	RAED S.H. AL-MUSAWI
Abstract:	In this paper, we present a novel adaptive beamforming algorithm for multiuser detection in wideband code division multiple access (WCDMA) systems. The algorithm is based on a new sub-block normalized least mean squares optimization in conjunction with the despread-respread technique. We denote this new algorithm using the acronym Sub-Block NLMS-DRMTA, which stands for sub-block normalized least mean squares despread-respread multitarget array. A novel adaptive step size rule has been proposed based on the variance of the array input signal, which has resulted in enhanced robustness to estimation errors and very low computational complexity. The proposed algorithm has been benchmarked against exiting block-based and sample-based DRMTA algorithms. The bit error rate (BER) performance of our algorithm outperformed the performance of the block-based least squares despread-respread multitarget constant modulus array (LS-DRMTCMA) algorithm by a wide margin. In comparison to the sample-based (Sample NLMS-DRMTA) algorithm, the proposed algorithm achieved superior or similar BER performance at a markedly reduced computational complexity and significantly faster convergence. In addition, the proposed algorithm exhibited significantly better robustness compared to that of the sample-based recursive least squares (Sample RLS-DRMTA) algorithm at low signal-to-noise ratio (SNR) and/or high number of users. Moreover, the proposed algorithm has substantially lower complexity than the Sample RLS-DRMTA algorithm. Thus, the Sub-Block NLMS-DRMTA algorithm represents a viable approach for achieving both improved BER performance and fast convergence at very low computational complexity.
Keywords:	DRMTA, Smart Antennas, NLMS-DRMTA, CDMA Systems, Computational Complexity
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2016 -- Vol. 83. No. 3 -- 2016
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