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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
Algorithms for Enhanced Inter-Cell Interference Coordination 
(eICIC) in LTE Het Nets 
Abstract 
The success of LTE heterogeneous networks (HetNets) with macrocells and picocells critically depends 
on efficient spectrum sharing between high-power macros and low-power picos. Two important 
challenges in this context are: 1) determining the amount of radio resources that macrocells should offer 
to picocells, and 2) determining the association rules that decide which user equipments (UEs) should 
associate with picos. In this paper, we develop a novel algorithm to solve these two coupled problems in 
a joint manner. Our algorithm has provable guarantee, and furthermore, it accounts for network 
topology, traffic load, and macro-pico interference map. Our solution is standard compliant and can be 
implemented using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed 
by LTE standards. We also show extensive evaluations using RF plan from a real network and discuss 
self-optimized networking (SON)-based enhanced inter-cell interference coordination (eICIC) 
implementation. 
Existing system 
The success of LTE heterogeneous networks (HetNets) with macrocells and picocells critically depends 
on efficient spectrum sharing between high-power macros and low-power picos. Two important 
challenges in this context are: 1) determining the amount of radio resources that macrocells should offer 
to picocells, and 2) determining the association rules that decide which user equipments (UEs) should 
associate with picos. 
Proposed system 
In this paper, we develop a novel algorithm to solve these two coupled problems in a joint manner. Our 
algorithm has provable guarantee, and furthermore, it accounts for network topology, traffic load, and
macro-pico interference map. Our solution is standard compliant and can be implemented using the 
notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. We 
also show extensive evaluations using RF plan from a real network and discuss self -optimized 
networking (SON)-based enhanced inter-cell interference coordination (eICIC) implementation. 
SYSTEM CONFIGURATION:- 
HARDWARE CONFIGURATION:- 
 Processor - Pentium –IV 
 Speed - 1.1 Ghz 
 RAM - 256 MB(min) 
 Hard Disk - 20 GB 
 Key Board - Standard Windows Keyboard 
 Mouse - Two or Three Button Mouse 
 Monitor - SVGA 
SOFTWARE CONFIGURATION:- 
 Operating System : Windows XP 
 Programming Language : JAVA 
 Java Version : JDK 1.6 & above.

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IEEE 2014 NS2 NETWORKING PROJECTS A hybrid hardware architecture for high sp...
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IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS Designing an efficient image encr...
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IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS An efficient-parallel-approach-fo...
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IEEE 2014 MATLAB IMAGE PROCESSING PROJECTS Scale adaptive dictionary learning
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IEEE 2014 NS2 NETWORKING PROJECTS Algorithms for enhanced inter cell interference coordination (e icic) in lte het nets

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com Algorithms for Enhanced Inter-Cell Interference Coordination (eICIC) in LTE Het Nets Abstract The success of LTE heterogeneous networks (HetNets) with macrocells and picocells critically depends on efficient spectrum sharing between high-power macros and low-power picos. Two important challenges in this context are: 1) determining the amount of radio resources that macrocells should offer to picocells, and 2) determining the association rules that decide which user equipments (UEs) should associate with picos. In this paper, we develop a novel algorithm to solve these two coupled problems in a joint manner. Our algorithm has provable guarantee, and furthermore, it accounts for network topology, traffic load, and macro-pico interference map. Our solution is standard compliant and can be implemented using the notion of Almost Blank Subframes (ABS) and Cell Selection Bias (CSB) proposed by LTE standards. We also show extensive evaluations using RF plan from a real network and discuss self-optimized networking (SON)-based enhanced inter-cell interference coordination (eICIC) implementation. Existing system The success of LTE heterogeneous networks (HetNets) with macrocells and picocells critically depends on efficient spectrum sharing between high-power macros and low-power picos. Two important challenges in this context are: 1) determining the amount of radio resources that macrocells should offer to picocells, and 2) determining the association rules that decide which user equipments (UEs) should associate with picos. Proposed system In this paper, we develop a novel algorithm to solve these two coupled problems in a joint manner. Our algorithm has provable guarantee, and furthermore, it accounts for network topology, traffic load, and
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