International Journal of Advanced Research in Computer Science Engineering and Information Technology Volume: 5 Issue: 3 22-Mar-2015,ISSN_NO: 2321-3337 Techniques for Enhanced Inter-Cell Interference Coordination for LTE in HetNets Mr. Dipak V Bhosale 1 , Prof. Vanita D Jadhav 2 ME Student, Computer Science and Engineering, SVERI’s College of Engineering, India 1 . Professor, Computer Science and Engineering, SVERI’s College of Engineering, India 2 . ABSTRACT— In order to meet the growing demand for mobile broadband and users’ expectations, it is necessary improve data performance overall and at cell edges. The success of LTE heterogeneous networks (Het- Nets) with macrocells and picocells critically is contingent on efficient spectrum division between high-power macros and low-power picos. Two important tasks in this situation are: 1) Determining the amount of radio resources that macrocells should offer to picocells, and 2) Influential the association rules that resolve which user equipments (UEs) should associate with picos. In this system, progress a novel algorithm to solve these two joined problems in a dual manner. Proposed algorithm has provable guarantee, and furthermore, it explanations for network traffic load, topology, and macro-pico interference map. Our result is standard compliant and can be executed using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. Simulation result also show general evaluations using RF plan from a real network and discuss self-optimized networking (SON)-based improved inter-cell interference coordination (eICIC) employment. Keywords— 4G LTE, enhanced inter-cell interference coordination (eICIC), heterogeneous cellular systems, Almost Blank Subframes, Self-optimized networking (SON) 1.INTRODUCTION Nowadays, mobile broadband traffic has grown exponentially with exceeding voice. The generation of mobile smart phones, tablets and laptops, considering their services and capabilitie, mobile users has increased their number of connections. Furthermore, cellular operators have in general reported non-uniform traffic distributions in their networks, stating that for instance 50% of the total traffic volume is carried on only 30% of the macro sites. Exact percentages of course vary from network to network [6]. The required capacity has augmented faster than progress in spectral efficiency. The service is migrating from a voice-centralized model to a data centralized model. Subscribers use connected devices not only to access the data with help of Internet, but also to access cloud-based application services, including video and other bandwidth-intensive content. As a result of these trends, overall mobile data traffic is expected to grow tenfold by 2016. Users’ expectations for mobile broadband are growing parallel to traffic and, increasingly, users expect a robust, high-quality and seamless service. Further, more and more, customers are operating inside offices and buildings, where about 70 percent of today’s data traffic is generated and where coverage represents a major problem for mobile ISRJournals and Publications Page 384