The concept of proportional fairness is introduced and applied to schedule D2D users in the multi-cell scenario in [14], where a stepwise resource allocation mode is employed, i.e., a CU is first selected based on the proportional fairness criterion, and then a D2D pair is randomly selected to reuse the resource.
Only two studies (reference number 6 and 7) used the ingredient approach for stepwise resource allocation.
Chang et al. (2010) proposed a model which involves integration of operating rules, the stepwise optimal water allocation model and the convex hull multiobjective generic algorithm to solve multiobjective regional water allocation planning problem for the Kao Pin River and Tseng-Wen river basin in Taiwan.
However, it has been shown that the stepwise low-complexity suboptimal allocation scheme can achieve the similar performance with the optimal one [33,37].
The stepwise subcarrier and power allocation optimization algorithm is derived for the formulated problem, and extensive simulations verify the effectiveness and superiority of the proposed cooperation scheme compared with existing schemes.
In a stepwise multiple regression analysis, group allocation was the only significant predictor of performance in the post-test (R = 0.516, R = 0.266, P = 0.001), i.e. 26.6 % of the variance in post-test scores was accounted for by group membership.
This study discusses a method that overcomes the size limitations in solving large size multilevel hierarchical hub location problem with a single allocation by using a stepwise solving approach called CM-GATS.
ISO 14041 mention that allocation should be applied following these stepwise procedure[18, 19]: Step 1 Whenever possible, allocation should be avoided by dividing the unit process to be allocated into two or more subprocesses and collecting the input and output data related to these subprocesses or by expanding the product system to include the additional functions related to the coproducts.
In this paper, a stepwise optimization algorithm is proposed in which the subcarrier assignment and power allocation are executed separately to reduce the computation complexity.
In the ongoing allocation schemes, the number of sick cows in the training set increased stepwise by moving 10% of the sick animals from the testing set to the training set, and vice versa.
Meanwhile, the corresponding resource allocation problem is formulated and adopting the heuristic method and dual method, a stepwise subcarrier-power allocation algorithm is proposed with lower computation complexity.
