Abstract: Wireless communication has grown staggeringly over the last decade, wireless systems and mobile telephones have been the most reason for the expansion. There is a requirement for ever faster wireless communications as this can allow new applications like widespread wireless broadband web access. Multi-Antenna transmission schemes, using multiple antennas at the transmitter and/or receiver have been projected as some way to satisfy the demand for exaggerated capacity. Main aim of this project is to enhance the capacity of MIMO system. Capacity is increased by variable parameters like SNR and BER using channel coding such as alamouti coding, feedback systemopen-loop and close-loop comparison, channel correlation, antenna selection techniques as optimum and sub-optimum antenna selection techniques. In the LTE mobile system, all cells use the same set of frequencies. This means that a user may expertise interference from different cells. A method that has been studied so as to cut back this interference and thereby increase rate or system outturn is to coordinate programing between cells. Good results of this have been found in numerous studies. However, the interference is generally assumed to be well-known. Studies using calculable interference and simulating more than one cluster of cells have found virtually no gain. This paper focused on how to use information from coordinated scheduling and other traffic estimates to do better interference estimation and link adaption.

Keywords: MIMO, Channel Correlation, Open Loop-Close Loop, Alamouti Coding, Antenna Selection Techniques, Optimum And Sub-Optimum Selection Technique, CSI Feedback, Cell Co-Ordination, Beam forming.