الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
The rising demand on both mobile Internet and the Internet of Things
(IoT) has a great challenge on the requirements for 5G wireless communications. Looking forward to achieve the requirements of IoT that is
not supported in the current systems, new access schemes are needed.
Multiple access is one of the core technologies of wireless communications, which enables wireless base stations to deal with large
number of different users and provide the service for each of them at the
same time.Meeting the 5G challenges, non-orthogonal multiple access is the
main concerned point in 5G technologies. Multi User Shared Access
(MUSA) is suggested to be the non orthogonal multiple access scheme that
has the ability to support IoT for the next generation network.
In this thesis, a new type of codes called 5-ary code is used for preading. The bit error rate performance analysis of an uplink MUSA system is studied for 5-ary codes and different types of short length spreading sequences. The analysis is also done while changing the ordering way to detect the users with Successive Interference ncellation (SIC) method. Our proposed Scheme of MUSA which is 5-ary Multi User Shared
Access (5-ary MUSA) and Sparse Code Multiple Access (SCMA), are studied as well. The Bit Error Rate performance (BER) analysis is shown for
different user overloading for uplink systems. The results give a clear view
on the effect of increasing the number of users for the same system parameters Also the channel estimation for 5-ary MUSA is studied using blind channel estimation showing the system performance in terms of BER for
two different blind channel estimation algorithms which are Fast Independent Component Analysis FastICA) and Joint Approximation Diagonalization of Eigen Matrices (JADE). The thesis presents a simulation model to evaluate the performance of the systems using MATLAB.