The phrase "allocation maximization" is correct and usable in written English.
It can be used in contexts related to economics, resource management, or optimization strategies where the goal is to maximize the allocation of resources.
Example: "The company's new strategy focuses on allocation maximization to ensure that all resources are utilized efficiently."
Alternatives: "resource optimization" or "allocation enhancement".
Our aim is to develop a mechanism that enables joint spectrum allocation, revenue maximization and power control through spectrum pricing while achieving a desired QoS performance.
We determined allocations resulting from selfish payoff maximization, allocations that maximize a utilitarian sum of payoffs including that of the allocator, allocations that maximize the number of treated patients, and Rawlsian allocations.
Related works for interference-coupled wired (DSL) networks [7, 8, 21] show that suboptimal yet efficient power allocation for rate maximization can be achieved when the non-convex rate maximization problem is approximated by alternative convex objective functions of the transmit powers.
In [13], a heuristic power allocation based on maximization of a metric related with the sum-rate was derived.
Liu et al. [23] proposed algorithms to solve the joint optimization problem which combine power control and fronthaul rate allocation for throughput maximization in C-RAN.
The optimal power and time slot allocation for capacity maximization over flat Rayleigh fading relay channels has been considered in [2 4].
As we observed in going from (67) to (68) determination of the optimal power and frequency allocation functions requires maximization of the terms inside the expectation.
The case of power allocation for capacity maximization of single hop parallel Gaussian relay channels (e.g., OFDM systems) under a total power constraint has been treated in [5 10].
Over the last 20 years, several theoretical [3, 5, 11, 13 16] and practical [2, 6, 12, 17] works have been developed to understand and solve the problems of power allocation and utility maximization for cellular, multihop, peer-to-peer, and digital subscriber line (DSL) networks.
Behavioral ecologists assume that animals use a motivational mechanism for decisions such as action selection and time allocation, allowing the maximization of their fitness.
