Power Allocation Method of Downlink Non-orthogonal Multiple Access System Based on α Fair Utility Function
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The unbalance between system ergodic sum rate and high fairness is one of the key issues affecting theperformance of non-orthogonal multiple access (NOMA) system. To solve the problem, this paper proposes apower allocation algorithm to realize the ergodic sum rate maximization of NOMA system. The scheme ismainly achieved by the construction algorithm of fair model based on α fair utility function and the optimalsolution algorithm based on the interior point method of penalty function. Aiming at the construction of fairmodel, the fair target is added to the traditional power allocation model to set the reasonable target function. Simultaneously, the problem of ergodic sum rate and fairness in power allocation is weighed by adjusting thevalue of α. Aiming at the optimal solution algorithm, the interior point method of penalty function is used totransform the fair objective function with unequal constraints into the unconstrained problem in the feasibledomain. Then the optimal solution of the original constrained optimization problem is gradually approximatedwithin the feasible domain. The simulation results show that, compared with NOMA and time division multipleaddress (TDMA) schemes, the proposed method has larger ergodic sum rate and lower Fairness Index (FI)values.
Abstract
The unbalance between system ergodic sum rate and high fairness is one of the key issues affecting theperformance of non-orthogonal multiple access (NOMA) system. To solve the problem, this paper proposes apower allocation algorithm to realize the ergodic sum rate maximization of NOMA system. The scheme ismainly achieved by the construction algorithm of fair model based on α fair utility function and the optimalsolution algorithm based on the interior point method of penalty function. Aiming at the construction of fairmodel, the fair target is added to the traditional power allocation model to set the reasonable target function. Simultaneously, the problem of ergodic sum rate and fairness in power allocation is weighed by adjusting thevalue of α. Aiming at the optimal solution algorithm, the interior point method of penalty function is used totransform the fair objective function with unequal constraints into the unconstrained problem in the feasibledomain. Then the optimal solution of the original constrained optimization problem is gradually approximatedwithin the feasible domain. The simulation results show that, compared with NOMA and time division multipleaddress (TDMA) schemes, the proposed method has larger ergodic sum rate and lower Fairness Index (FI)values.
참고문헌 (19)
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