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In this modern world, technology has improved a lot and wireless communications are much necessary. MIMO wireless technology is very much essential for providing increased connectivity and spectral efficiency combined with the reliability of advanced connectivity using what were previously considered as interference paths. The multiple access system is considered such that they provide the different methods in communication for multi-users. In this work, the iterative algorithm is used such that it helps in defining random array of signals and assigning the phase to the given measured amplitude. Different types of multiple access systems such as Non-Orthogonal multiple access (NOMA), Orthogonal multiple access (OMA) and Adaptive Orthogonal multiple access (AOMA)which are used to analyze transmission of multiple data stream over power domain in the presence of AWGN and Rayleigh channel. The data transmitted over the channel may vary due to some interference on its path. The signal strength is calculated in the receiver using the fading channel and the other noises that gets added in the channel. MATLAB software tool is used for simulation and the performance analysis in terms of average sum value i.e. the signal strength with respect to SNR for all the above mentioned multiple access techniques is compared. The simulation results clearly exhibits that NOMA outperforms the other two cases and is one of the promising technology for fifth generation wireless communications.

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Glaucoma is an irreversible chronic eye disease it leads to vision loss. It is an eye disease which occurs due to the increased/decreased fluid pressure inside the eye. The pressure inside the normal eye is usually below 21mm of Hg. But when the pressure inside the eye(s) increases more than 21mm of Hg, the optic nerve gets damaged. This can permanently damage vision in the effected eye(s) and can lead to blindness if left untreated. The available scanning methods glaucoma are Heidelberg Retinal Tomography (HRT), Scanning Laser Polarimetry (SLP) and Optical Coherence Tomography (OCT). The existing methods are expensive and require experienced clinicians to use them. So, there is a need to diagnose glaucoma accurately with low cost. As the symptoms only occur when the disease is quite advanced so that glaucoma is called the silent thief of sight. Glaucoma cannot be cured, but its development can be slowed down by treatment. Therefore, detecting glaucoma in time is critical. Manual analysis of the eye is time consuming and the accuracy of the parameter measurements also varies with different clinicians. To overcome these problems with manual analysis, the objective of this survey is to introduce a method to automatically analyze the fundus images of the eye. Automatic analysis of this disease is much more effective than manual analysis.