The product includes the Matlab simulation code package which generates the results provided in the paper titled “A New MIMO Technique Utilizing Superimposed Auxiliary Signals for Simultaneously Achieving Spatial Multiplexing and Diversity Gains in Future MIMO-Aided Communication Systems“.
Brief Information about the Work:
Future wireless communication systems demand superior spectral efficiency, enhanced system reliability, improved SNR gain, and better employment of power resources than currently deployed systems. In this work, we propose a new MIMO communication technique that can simultaneously provide multiplexing gain and diversity gain as well as reduce complexity and processing at the receiver side. The proposed system transceiver structure utilizes superimposed auxiliary signals that are designed based on the wireless channel characteristics to eliminate inter antenna interference as well as completely remove the channel effects at the receiver while providing low reception complexity. The efficacy and novelty of the proposed system are verified via extensive mathematical analysis and validated by numerical simulations. The obtained results indicate that the proposed new model achieves high throughput, enhanced reliability, improved connectivity, less complexity, and more efficient communication which is suitable for low power consumption and limited processing applications.