This letter introduces a joint design method for uplinkdownlink multiple-input multiple-output (MIMO) relay communication systems in which the source nodes transmit information to the destination nodes with the help of a relay. We propose a signal forwarding schceme based on the minimum mean-square error (MMSE) approach in uplink relay systems. Exploiting the duality of relay systems, we also p...

Multiple-input multiple-output (MIMO) wireless communication systems employ multiple transmit and multiple receive antennas to obtain significant improvement in channel capacity. However, the capacity is limited by the correlation of subchannels in non-ideal scattering environments. In this paper, we investigate MIMO systems that use antennas with dissimilar radiation patterns to introduce deco...

With the exploration of multiple antennas at transmitter and possibly also at receiver end, the original concept of UMTS (universal mobile telecommunications system), specified within 3GPP (3rd-generation partnership project), needs to be reconsidered. While the so-called MIMO (multiple-input multiple-output) techniques promise huge improvements in spectral efficiency, in general, once constrai...

Multiple-input multiple-output (MIMO) antenna systems rank among the emerging key technologies in next generation wireless communication systems. For the analysis of real antenna radiation characteristics and influences by mutual coupling in a multielement antenna arrangement, a spherical eigenmode (SME) evaluation of antenna radiation patterns is presented. In combination with a statistical de...

It is well known that Multiple Input-Multiple Output systems enhance significantly the spectral efficiency of wireless communication systems. However, their remarkable hardware and computational burden hinders the wide deployment of such architectures in modern systems. In this paper, we present an alternative MIMO architecture built on parasitic antenna structures with small inter-element dist...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

This paper describes a feedback assisted stochastic gradient algorithm for transmission tracking of the dominant channel subspaces for multiple-input–multiple-output (MIMO) communications systems. Subspace tracking is introduced as a means of tracking multiple transmission weights, being the MIMO generalization of beam steering in the familiar multiple-input–single-output case. The subspace sol...

This paper proposes an algorithm for detection in multiple input multiple output (MIMO) communication systems. The algorithm combines minimum mean square error (MMSE) and minimum mean square error with ordered successive interference cancellation (MMSE-OSIC) detectors with detection error estimation. Neyman-Pearson criterion is used and the decision boundary is derived. It helps the implementat...

In Multiple-Input Multiple-Output (MIMO) systems, Maximum-Likelihood (ML) decoding is equivalent to £nding the closest lattice point in an N dimensional complex space. In [1], we have proposed several quasimaximum likelihood relaxation models for decoding in MIMO systems based on semi-de£nite programming. In this paper, we propose randomization algorithms that £nd a near-optimum solution of the...

In a more realistic indoor environment we demonstrate the use of the ray tracing method to predict the capacity of a multiple input multiple output(MIMO) indoor wireless communication systems. The channel response for 4 by 4 MIMO systems located inside an office environment operating at 5.2 GHz is constructed by using Wireless InSite, ray tracing simulation tool. The uniform linear array(ULA) a...