Recently, Multiple Input Multiple Output (MIMO) has become popular research topic among researchers for development of a new wireless communications technology. The system capacity can be increase with deployment of MIMO technique in the communications system. Thus, the used of high frequency bandwidth can be avoid since this method required high cost implementation. High transmitted power also...

Abstract: Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference. Instead of treating all the users jointly as in zero-forcing (ZF) multiuser transmission techniques, the investigated singular value decomposition (SVD) assisted DL multiuser MIMO system takes the individual user’s channel cha...

THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD. It has been shown recently that the dirtypaper coding is the optimal strategy for maximizing the sum rate of multiple-input multiple-output Gaussian broadcast channels (MIMO BC). Moreover, by the channel duality, the nonconvex MIMO BC sum rate problem can be transformed to the convex dual MIMO multiple-access channel (MIMO MAC) problem with a ...

This paper investigates adaptive blind equalization for multiple-input and multiple-output (MIMO) channels and its application to blind separation of multiple signals received by antenna arrays in communication systems. The performance analysis of the CMA equalizer used in MIMO channels is first presented. Our analysis results indicate that for the MIMO FIR channels satisfying certain condition...

Multi-user multi-input multi-output (MIMO) system has been attracting much attention due to its high spectrum efficiency. Nonlinear MIMO signal detection methods with less computational complexity have been widely studied for single-user MIMO systems. In this paper, we investigate how a lattice reduction (LR)-aided detection and a maximum likelihood detection (MLD) employing the QR decompositio...

Matrix inversion algorithm acting an important role in MIMO wireless communication.In this paper, we presenta matrix inversion algorithm and it’s applications in the high speed MIMO LTE receiver which is based on floating point DSP. Matrix operations are the most costly computational module within MIMO receivers but a matrix inversion algorithm is very easy to compute and significantly reduce t...

In this paper the application of the concept of crystallized rate regions to MIMO transmission with femtocell interference is investigated. Based on the referenced work a new game definition specifying the new cost function derived for MIMO transmission with femtocell interference is proposed. Furthermore, the idea of channel approximation for complexity reduction is described. Finally, the sim...

The concept of Multiple Input Multiple Output (MIMO) biorthogonal partners arises in many different contexts, one of them being multiwavelet theory. They also play a central role in the theory of MIMO channel equalization, especially with fractionally spaced equalizers. In this paper we will explore some further theoretical properties of MIMO biorthogonal partners. These include the conditions ...