文件名称:1MIMOOFDMestimation
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MC-CDMA with SFBC
In the next subsections, we describe the architecture of an SFBC MIMO MC-CDMA transmitter, and define the basic terms related to the PAPR of the involved signals.
System model
In an MC-CDMA system, a block of M information symbols each active user are spread in the frequency domain into N = LM subcarriers, where L represents the spreading factor. This is accomplished by multiplying every symbol of the block for user k, where k ∈ {0,1,..., L - 1}, by a spreading code , -MC-CDMA with SFBC
In the next subsections, we describe the architecture of an SFBC MIMO MC-CDMA transmitter, and define the basic terms related to the PAPR of the involved signals.
System model
In an MC-CDMA system, a block of M information symbols each active user are spread in the frequency domain into N = LM subcarriers, where L represents the spreading factor. This is accomplished by multiplying every symbol of the block for user k, where k ∈ {0,1,..., L - 1}, by a spreading code ,
In the next subsections, we describe the architecture of an SFBC MIMO MC-CDMA transmitter, and define the basic terms related to the PAPR of the involved signals.
System model
In an MC-CDMA system, a block of M information symbols each active user are spread in the frequency domain into N = LM subcarriers, where L represents the spreading factor. This is accomplished by multiplying every symbol of the block for user k, where k ∈ {0,1,..., L - 1}, by a spreading code , -MC-CDMA with SFBC
In the next subsections, we describe the architecture of an SFBC MIMO MC-CDMA transmitter, and define the basic terms related to the PAPR of the involved signals.
System model
In an MC-CDMA system, a block of M information symbols each active user are spread in the frequency domain into N = LM subcarriers, where L represents the spreading factor. This is accomplished by multiplying every symbol of the block for user k, where k ∈ {0,1,..., L - 1}, by a spreading code ,
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1MIMOOFDMestimation\MIMO_OFDM.m
...................\reportresults.m
...................\saveweights.m
...................\selectdata.m
...................\testcost.m
...................\train.m
...................\wadapt.m
1MIMOOFDMestimation