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Channel Modeling Of The Next Generation Network And Key Techniques Of Adaptive Transmission

Posted on:2015-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:C X LiuFull Text:PDF
GTID:2298330467462223Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Channel modeling and adaptive transmission play an important role In the next generation wireless communication system. Due to the effect of mutual coupling of the antenna and the decline of transmitting environment, the correlation of transmission channel cannot be overlooked. So the research for MIMO correlation becomes more and more important. At the same time, with the widely application of Orthogonal Frequency Division Multiplexing technology, the way to get the higher energy efficiency becomes hotspot. However, there is no better scheme in some existing energy efficiency plans. So an OFDM system to maximize the energy efficiency by bit loading algorithm is urgently needed. In order to solve the above problems, this thesis mainly researches as following.In MIMO system, this thesis analyses the correlations concerning the antenna mutual coupling and channel fading.This thesis also analysis the capacity of Multi-antenna system.A novel cooperative channel model framework is proposed for cooperative MIMO wireless channels. The proposed model is adaptable to multiple cooperative MIMO scenarios when the relay’s mode is AF. When we get the information of correlation coefficient of every ends together with the information of Mean and variance of Rayleigh channel, the imitational channel can be simulated. Simulations show that the presented channel model can simulate the characters of the AF channel.An algorithm based on maximizing energy efficiency is proposed to allocate subcarrier and bit efficiently. This algorithm is the improved algorithm of greedy algorithm which can speedy locate bits to achieve maximum energy efficiency.
Keywords/Search Tags:mimo, correlation, channel modeling, energyefficiency, lte
PDF Full Text Request
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