Now a day’s wireless channels effecting due to fading is the main issue in communications. MIMO techniques enable higher spectral efficiency and improve robustness against channel fading. In this paper an effort has been made to illustrate the performance comparison of the Rayleigh & Rician fading channel models for MIMO system using MATLAB simulation. The Water filling algorithm has been imple...

Recently, many works have considered a physical properly of antenna in MIMO channel models, such as radiation pattern effective for MIMO system. However, effect of antenna for MIMO with different algorithms is required and also with different environments of signal behavior at each end of the link. Thus, a traditional antenna such as Omni-directional antenna generally is used to design MIMO sys...

The channel correlation happens in a MIMO-femtocell (multiple-input multiple-� output) system with beam-subset beamforming technique is investigated in this paper.� MIMO-femtocell system constructed with MIMO signaling that is adapted to a tiered� femtocellular network. The MIMO-femtocell system deployed with home base station� (BS) in a single floor indoor environment is proposed. According to...

This paper investigates the applicability of multiple-input multiple-output (MIMO) technology to satellite communications at the Ku-band and above. After introducing the possible diversity sources to form a MIMO matrix channel in a satellite environment, particular emphasis is put on satellite diversity. Two specific different topics from the field of MIMO technology applications to satellite c...

Multiple-input multiple-output (MIMO) techniques, characterized by the use of multiple antennas at both the transmitter and the receiver, are a key element in the design of future wireless communication systems. With respect to single-antenna systems, MIMO systems offer higher spectral e ciency through spatial multiplexing gain, improved link reliability through spatial diversity gain, and grea...

Multi-user multiple input multiple output (MU-MIMO) systems have attracted much attention as a technology that enhances the total system capacity by generating a virtual MIMO channel between a base station and multiple terminal stations. Extensive evaluations are still needed because there are many more system parameters inMU-MIMO than in single user (SU)-MIMO and the MU-MIMO performance in act...

Multiple-input multiple-output (MIMO) significantly increases the throughput of a communication system by employing multiple antennas at the transmitter and the receiver. To extract maximum performance from a MIMO system, a computationally intensive search based detector is needed. To meet the challenge of MIMO detection, typical suboptimal MIMO detectors are ASIC or FPGA designs. We aim to sho...

Wireless communication paradigm has evolved from single-user single-input single-output (SISO) and multiple-input multiple-output (MIMO) systems to multi-user (MU) MIMO counterparts, which are shown greatly improving the rate performance by transmitting to multiple users simultaneously. The sum-capacity and the capacity region of a single-cell MU MIMO downlink system or the so-called MIMO broad...

–One of the biggest drawbacks of OFDM is its high peak to average power ratio (PAPR). High PAPR of OFDM makes it unusable in non-linear systems. So the clipping signals scheme is one useful and simple method to reduce the PAR. This paper presents a new receive algorithm called MIMO CI-OFDM has been implemented. From the simulation results, it is shown that MIMO SFBC CI-OFDM reduces PAPR signifi...

This paper investigates the performance of an overloaded multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system with and without antenna selection. In the overloaded MIMO-OFDM system, even if only a small amount of feedback is available, performance can be improved by selecting the transmit antennas. Thus, this paper compares the performance of an overloa...