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In "Optimal DF power allocation" section, we discuss the optimal solution to problem (10).
In "Interference-aware resource allocation" section, the interference-aware femtocell uplink resource allocation algorithm is proposed.
Then, in "Simplified algorithm for DF power allocation" section, we propose a feasible algorithm that gives a sub-optimal solution.
Afterwards, cooperative techniques for cost saving allocation are described in "Cooperative techniques for cost saving allocation" section.
Here, we summarize the coding algorithm steps, optimized according to the criteria exposed in "Optimal SP selection and bit budget allocation" section.
Then the resources allocated to service station a in minisystem i should be computed by the model represented in 'Multi-objective consumable resource allocation' section.
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Figure 7 shows the power required by DF to achieve a target rate R equal to 20 Mbit/s when using the optimal and the simplified DF power allocation algorithm (see "Optimal DF power allocation" and "Simplified algorithm for DF power allocation" sections).
We consider the existing inter-relay power allocation in Section 3, and propose the relay selection based approach for capacity maximization in Section 4. In Section 5, we discuss the feedback overhead and the computational complexity.
We initialize the algorithm with the optimal uniform energy and bit allocation from Section 4.1.
"Media edge cloud resource allocation approach" section presents the mapping solution of media cloud requests into MEC-DCs infrastructure.
The corresponding RB allocation in Section 5 is performed in the macro eNB and the pico eNB respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com