MIMO-OFDMMultiple In, Multiple Out-Orthogonal Frequency Division Multiplex
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in multiuser MIMO-OFDM systems, the proposed algorithms are mainly designed to maximize the data rate/capacity subject to a power constraint [5][6][7][8] or to minimize the overall transmit power subject to a rate constraint [9][10][11][12].
Literature indicates hardware design has migrated towards efficient and high performance FFT/IFFT architectures for MIMO-OFDM [7-14], and other applications, including signal and image processing [15-24].
In the paper, Reed-Solomon (RS) code, Convolutional code (CC) and concatenation RS-CC with interleaver are used to improve the performance of MIMO-OFDM system under multipath fading channels like AWGN in conjunction with Rayleigh fading channel
However, the main limitation of using MIMO-OFDM systems is its high peak to average power ratio (PAPR) [3].
MIMO-OFDM is a promising technology that embraces advantages of both MIMO system and OFDM, i.
MIMO-OFDM receiver architecture is used to test the performance of proposed 1-bit ADC.
Among the hundreds of topics under discussion are “A WSN Solution for Light Aircraft Pilot Health Monitoring,” “Clustering Methods for Base Station Cooperation,” “Green Resource Allocation for MIMO-OFDM Relay Networks,” “Machine-to-Machine Communications in OFDMA Cellular Networks,” “Mobile Sensor Scheduling for Timely Sweep Coverage,” “Radio Imaging by Cooperative Wireless Networks,” and “Controlling Self-healing Cellular Networks Using Fuzzy Logic.
MIMO-OFDM for LTE, Wi-Fi, and WiMAX; coherent versus non-coherent and cooperative turbo-transceivers.
In MIMO-OFDM Wireless Communications with MATLAB, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB programs to simulate the various techniques on MIMO-OFDM systems.
where d refers the distance between the multiple TPs and the UE as the positive number, Y is the received complex signal of the UE, P is the root-mean-square power depending on d, H is the complex channel factor, X is the transmitted MIMO-OFDM signal, I is the inter-cell interference complex factor introduced by inter-TP, and N is a complex AWGN with zero mean.
This monograph collates the latest techniques in a number of specific design areas of turbo-detected MIMO-OFDM wireless systems.
We consider a turbo-coded MIMO-OFDM multiplexing system with 1024-point fast Fourier transform (FFT) and 15KHz subcarrier spacing.