The usable satellite spectrum is getting scant because of ceaselessly expanding interest for broadcast, media and intelligent administrations. In this unique circumstance, cognitive satellite communications have gotten significant consideration of late in the exploration research area. Therefore, wireless communication system based on low earth orbit satellite communication equipped with “Massive MIMO based Cognitive Radio” technology-based radio or system for the downlink, and the ground radio station which can perform spectrum sensing and can get aware of its operating condition and can regulate its functioning parameters is proposed. The spectrum sensing will be performed by the terrestrial stations during uplink and satellites equipped with massive MIMO in a uniform planar array performs beamforming based on the power and resource allocation during downlink. The proposed method includes simple optimization algorithm (SOPT) with which it is possible to efficiently optimize the spectrum sensing parameters and effectively detect the vacant spectrum. The existing metaheuristic optimization algorithms are complex and lacks proper trade-off between global and local search. Employing these optimization algorithms to solve the complex objective problems adds to the overall complexity of the system. The SOPT is a simple and efficient optimization algorithm. Thus, the proposed optimized spectrum sensing technique does not add to the overall complexity of the cognitive radio network and efficiently detect the spectrum holes. Therefore, it can be used for high data rate transmission.