MIMO offers big advantages over conventional point-to-point MIMO. It works with cheap single-antenna terminals, a rich scattering environment is not required, and resource allocation is simplified because every active terminal utilizes all of the time-frequency bins. The Location information is the major component in cellular wireless communications. Each Mobile node use a different temporary radio channel to communicate with the other node. This channel is called cell site and each cell site talks to many nodes at once or using one channel at once or per mobile device i.e a minimum amount of frequency ids used for communication. The cellular concept works on a variable low- power levels, which allow cells to be size according to the subscriber density and demand of the given data. In MIMO cellular wireless communication where a fixed BTS (base transition station) can transmit data to a mobile nodes is called mobile system. In this work we tried to improve the execution of power utilization in MIMO cellular Network System. We used the combination of two techniques i.e. dynamic semi-definite relaxation and optimal transmission power. The power utilization is used as SINR ratio and we calculated the all Peak average values of the MIMO System.
Multiple Input Multiple Output (MIMO), Signal-to-interference-and-noise (SINR), base station (BS) , Wireless Sensor network (WSN)