Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/8477
Title: Energy Efficiency Maximization for Device to Device Communication
Authors: Prajapati, Avani
Keywords: EC 2015
Project Report
Project Report 2015
EC Project Report
EC (Communication)
Communication
Communication 2015
15MECC
15MECC16
Issue Date: 1-Jun-2017
Publisher: Institute of Technology
Series/Report no.: 15MECC16;
Abstract: The wireless communication networks evaluated from the first generation to the fifth generation and there is a continuous demand to increase the network capacity to reach the growing demands. Device to Device (D2D) communication provides a model for LTE/LTE-A systems that can be used for mobile data of loading. Using D2D, it is possible to have direct communication between close users, which reduces traffic load on the base station. Though cellular and D2D communication are com- bined, resource allocation, interference coordination, Power allocation, security etc. becomes main challenging issues in D2D communication. The objective of the work presented in this thesis is to maximize the Energy Efficiency of Device to Device communication by optimizing the transmission power of D2D communication. The system model of the cellular network underlaid with D2D communication on multiple bands is taken. The frequency resources of exist- ing cellular networks are reused by the Device to Device communication and some extra interference gets added. Some part of the total transmission power is used to coordinate with the interference. It leads to a reduction in the transmission power used in the communication. Thus it is very important to balance the trade-of between transmission efficiency and interference mitigation. The successful trans- mission probabilities, average sum rate, and Energy Efficiency have been evaluated in the project. Then, regarding transmission power and outage probabilities, En- ergy Efficiency (EE) is maximized. Simulation results are produced using Matlab as a tool. Parameters like power, distance and user densities are changed and its effects on Energy Efficiency of D2D communication is observed. Simulation results demonstrate that using the proposed work EE can be maximized. Proper resource allocation leads to maximum EE and improves the quality of service of the whole network. It can be also applicable in the area of mode selection.
URI: http://10.1.7.192:80/jspui/handle/123456789/8477
Appears in Collections:Dissertation, EC (Communication)

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