A Decision-Making Model for Selecting the GSM Mobile Phone Antenna in the Design Phase to Increase Over All Performance

Abstract

Abstract-The wireless link between a mobile phone and its surrounding crucially depends on the quality and properties of the mobile phone antenna.The process of antenna selection is a multi-criteria decision-making problem with conflicting and diverse objectives. In this work, a model was built to select the best GSM mobile phone antenna in the design phase to increase the overall performance in the band. The model includes building an analytic hierarchy structure with a tree of hierarchical criteria and alternatives to ease the decision-making. The antenna options considered were limited to retractable whip antenna, loop chip antenna, monopole antenna, planar inverted F-antenna (PIFA), microstrip patch antenna, and printed slot antenna. An Analytical Hierarchy Process (AHP) was used to assist in building the model and help draw decisions. As a result of the decision making process, the monopole antenna was found to be the best choice for the GSM mobile phone antenna. Expert Choice TM software was used to conduct the experimental assessments. The judgments were found to be consistent, precise and justifiable with narrow marginal inconsistency values. The paper also presents a thorough sensitivity analysis to demonstrate the confidence in the drawn conclusions.

A decision-making model for selecting the most appropriate natural fiber – Polypropylene-based composites for automotive applications

“…45 As a result of all AHP advantages, AHP was implemented in numerous domains including material selection, 2,36,41 renewable and bioenergy systems, 48,49 energy planning and corrective actions [50][51][52][53] in addition to other industrial applications. 44,[54][55][56][57] To achieve appropriate decisions via AHP, three main steps have to be performed:…”

“…To determine such importance of each factor relative to others (weights), multiple pairwise comparisons have to be performed taking into account that for each factor compared with itself has to have a unity value leading to a square judgment matrix with a major diagonal values of ones. 52,54 If n criteria are involved in the pairwise comparison process, the judgment matrix A can be summarized in an n  n type with elements of a(i, j) which can be expressed as shown in equation ( 1). Then, computations commence normalizing as well as finding the relative weights of each individual judgment matrix.…”

Enhancing Sustainable Maritime Business through Lean, Agile, Resilience and Green (LARG) Performance Model in Indian Seaport Supply Chain Operations

“…The key characteristic of this model is hierarchical breakdown of the problem which creates a criteria hierarchy and altering the subjective evaluations of relative importance into a universal score or weight. AHP method uses pair-wise comparisons which allocates verbal judgments that improves the accuracy of findings and permit accurate ratio and scale (Oqla et al,2012). AHP technique also deals with the qualitative and quantitative aspects of the decision-making since the judgment values from equal comparison between experience, intuition and physical data (Longaray et al, 2015).AHP methodology consists of three main stages which are done by structuring the problem and obtaining the decision-making model, relative judgment by obtaining the performance of each alternatives and precedence analysis that weighing the alternative performance.…”

A Review on the Properties of Natural Fibers and Manufacturing Techniques of Fiber Reinforced Biocomposites

“…The materials selection process is considered the main step of engineering design. Materials are responsible for function, shape, and interaction with other components of the product, also the effect on customer selection decision [93][94][95][96][97][98][99][100][101].…”