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Positioning of mobile users has received growing attention and has potential for applications and services to enhance both Location Based Services (LBS) and cellular network performance. So, several researches are carried out to develop methods and algorithms which enhances the positioning accuracy and execution time [1]-[7]. This paper presents a new technique for current location detection with high accuracy and accepted execution time [8]. Combination of cellular network and Global Positioning System (GPS) positioning techniques provide a higher accuracy of mobile location than positions based on a standalone GPS or mobile network platform. The proposed hybrid Uplink Time Difference of Arrival and Assisted GPS technique (UTDOA-AGPS) for mobile user's location detection utilizes Universal Mobile Telecommunication System (UMTS) network, Mobile Station (MS) and GPS positioning characteristics. Due to flexibility of the proposed technique, many positioning sub-techniques are chosen according to positioning parameters. As a result, the required number of GPS satellites is reduced and many drawbacks are overcome. The paper also presents a novel algorithm for future location prediction of mobile subscriber over mobile network platform [9] which results in great enhancement in LBS applications and mobile network performance. In the proposed algorithm, Intra Cell Movement Prediction (ICMP), for mobile user's future location prediction is carried out to benefit from both intra and inter cell based techniques to enhance both network and services. The proposed ICMP algorithm depends on map based intra-cell prediction …