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 In non-orthogonal multiple access (NOMA) downlink multiple data flows are superimposed in the power domain and user decoding is based on successive interference cancellation  NOMA’s  performance highly depends on the power split among the data flows and the associated power allocation (PA) problem. In this letter, we study NOMA from a fairness standpoint and we investigate PA techniques that ensure fairness for the downlink users under  instantaneous channel state information (CSI) at the transmitter, and  average CSI. Although the formulated problems are non-convex, we have developed low-complexity   polynomial algorithms that yield the optimal solution in both cases considered.

EXISTING SYSTEM		PROPOSED SYSTEM
EXISTING CONCEPT NOMA is investigated in a downlink network with randomly deployed mobile users. In particular, the performance of NOMA is evaluated in two types of situations. Firstly we consider the case in which each user has a targeted data rate that is determined by its quality of service (QoS).  In this situation, the outage probability is an ideal metric for performance evaluation since it measures the ability of NOMA to meet the users’ QoS requirements.  The developed analytical results demonstrate that the choices of the users’ targeted data rates and allocated power are critical to their outage performance.		PROPOSED CONCEPT NOMA simultaneously serves multiple users in the same degrees of freedom by splitting them in the power domain.  In particular, we study the PA problem in NOMA from a fairness standpoint under two main system assumptions: i) when user’s data rates are adopted to the channel conditions (perfect channel state information (CSI)).  when users have fixed targeted data rates under an average CSI. Although the resulting optimization problems are both non-convex, we develop low-complexity bisection-based iterative algorithms that provably yield globally optimal solutions.  NOMA scheme outperforms conventional MA approaches by significantly improving the performance of the worst user.
EXISTING TECHNIQUE: conventional orthogonal multiple access (MA) techniques		PROPOSED TECHNIQUE: Successive interference cancellation (SIC). Optimal solution.  bisection-based iterative algorithms
TECHNIQUE DEFINITION: NOMA can ensure that the multiple users access the shared wireless medium and experience the same diversity order as conventional orthogonal multiple access (MA) techniques.		TECHNIQUE DEFINITION: We develop low-complexity bisection-based iterative algorithms that provably yield globally optimal solutions.
DRAWBACKS power allocation (PA) problem. complexity is high. performance of the worst user		ADVANTAGES Improving the performance of the worst user Power allocation (PA) problem is reduced. Number of users Improving.