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Research On Energy Efficiency For Cellular Networks Based On Collaboration

Posted on:2015-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q ZhaoFull Text:PDF
GTID:2268330428482558Subject:Communication and Information System
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In recent years, multi-protocol, multi-carrier, multi-user, and multi-business are characteristics of the rapid growth of cellular networks, and with the growing diversity of business needs, improving the energy efficiency of the cellular networks has become a critical issue. For cellular networks, Base Stations altogether contribute between60%to70%energy consumption of the overall networks,it is an important issue to improve the energy efficiency of base stations.However, the spatial and temporal distribution of traffic exhibit a growing dynamic characteristics in the green cellular networks, therefore, improving the energy efficiency of the networks based on flexible coverage will become a hot issue in the research.The main results of this study are as follows:l.This thesis proposed a collaborative energy saving optimization algorithm of cellular networks based on the coverage efficiency.The current hot issue in the study on cellular networks is to satisfy the requirement of the network coverage, and to improve network efficiency as much as possible, then the joint optimization of detection efficiency and energy efficiency of base stations are possible. The common activation probability algorithm in the cellular networks is setting a activation probability in advance, every one of base stations is randomly activated according to the probability, and the activation probability is independent of each other, but due to the lack of coordination between, the overall efficiency of the algorithm is lower, and the active status of base station can’t be dynamically adjusted based on changes in the target state. Comprehensive performance optimization of detection performance and energy efficiency of base stations is considered in this paper, a clear calculation method of activation probability of base stations will be given, and the activation probability of base stations has been optimized through collaboration between adjacent. In the premise of less energy consumption, maintaining a good detection capability to target.2.Relay cellular system based on energy-efficient coordination mechanisms was studied.In this paper, we adopt the collaboration between the adjacent relay stations to improve the dormancy control of relay stations according to the characteristics of relay-assisted cellular system, such as multi-user, multi-traffic, etc., so that relay stations with lower transmit power can meet the requirements of service quality such as delay and rate, in the case,system energy efficiency is fully embodied in energy saving. Because the traffic load capacity and the number of carriers of each relay station are limited, so whether relay station entered the sleep state is not only concerned with its own load and carriers, but also has a direct correlation with the load and the carriers of the adjacent relay stations.While previous studies also mentioned that frequent mode conversion also affect the energy consumption of the networks, so the mode conversion must also be a important fact which should be considered.
Keywords/Search Tags:Cellular Network, Energy efficiency, Collaboration Mechanism, Relay-assisted, Activation probability
PDF Full Text Request
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