The committee also demonstrates confusion in describing personal budgets as something "more akin to social security than social care" and assuming that the allocation of a budget "creates a scenario in which people's needs could be assessed less personally".
First, let us assume that power allocation is known, and sub-problem 1 can be defined by extracting constraints C1 C3 from (10): begin{aligned} mathop {max }limits_{mathbf{A}} frac{{{R_{text{tot}}}({mathbf{A}})}}{{{P_{text{tot}}}({mathbf{A}})}} s.t.{kern 1pt} {kern 1pt} {kern 1pt} {kern 1pt}{mathrm{C}1},{mathrm{C}2},{mathrm{C}3} end{aligned} (11).
We assume that the tier allocation is not the result of radio resource allocation, but given externally by, for instance user applications.
Repeating the procedure for m=1,…,K results in the global optimum of cell i, assuming that the allocations in the other cells are unchanged.
We assume that the resource allocation period is updated as fast as CSI feedback between CBS and SUs, and perfect instantaneous CSI is assumed available for the CBS.
Each data budget plan period (mathcal {T}) is divided into multiple time cycles, as depicted in Fig. 2. We also assume that the budget allocation algorithm periodically runs every after t time cycle where t changes proportionately with (mathcal {T}) and B. It tries to avoid over-provisioning as well as under-provisioning so as to maximize the resource utilization and application performances.
In a second step, we assume that the instantaneous allocation of energy intake is described by (C3) where ρ is the maximum feasible ratio between reversible and irreversible mass.
We assume that the resource allocations and are increased by sufficiently small and (both are of the same order).
In our problem, we first assume that the relay power allocation is pre-determined, and perform the optimization of base-station power allocation, and later in our discussion, we generalize our method to perform the separate optimization of relay power allocation.
We assume that the equal power allocation over scheduled users.
