Table 1 Classification of the most relevant resource allocation references Relaying without buffering Centralized [4, 5] Distributed [6 9] Relaying with buffering Centralized [18, 19] Distributed [20, 21].
To realize the network resource allocation, we reference the idea of network virtualization and propose resource scheduling virtualization.
Recently, there has been a great effort to define these prerequisite basic concepts and assumptions to cope with critical care resource allocation with many references to military experience.
As a reference equal resource allocation with for all 16 users is also plotted, which is the optimum resource assignment of the unbounded optimization problem (19) (see Section 4.2).
These include respect for the autonomy of patients, non-maleficence, beneficence and justice [18], the last with particular reference to resource allocation in a context of limited resources (distributive justice).
Numerical results show that, in the observed scenario, both proposals outperform the reference case of fixed resource allocation significantly in terms of utilized bandwidth.
We observe that for the given deployment scenario with two RNs, all the proposed resource allocation strategies show appreciable gain over the reference scenario.
Reference [5] investigates a resource allocation scheme for spatial multi-group random access to reduce packet collision in a single cell and interference among multiple cells.
We allocated investments under two resource allocation scenarios: a climate-adapted allocation and a climate-neutral allocation.
Reference [21] claimed that when the resource allocation problem has feasible solutions, then Nash equilibrium is always guaranteed.
Although many of the aforementioned references consider distributed schemes, none treats resource allocation and interference management in multiuser MIMO systems.
