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Numerical experiments and sensitivity analyses show that the proposed model has the ability of achieving channel coordination.
Therefore, we can apply the framework of partial observable Markov decision process (POMDP) to study the optimal policy achieving channel capacity.
Assuming capacity achieving channel codes and sufficiently large block length, we have R(P T, h) = ln(1 + |h|2P T ) nats.
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The DPC employs a nonlinear precoding scheme which presubtracts interference to achieve channel capacity.
The player's payoff is the achieved channel capacity in kb/s.
In general, nonlinear techniques achieve channel capacity but the induced complexity comes with high implementation costs.
Therefore, we can conclude that the GA has good performance on the users' service and channel gain, achieves channel allocation robustness, and maintains minimum network interference.
By using this mechanism we also discuss how the credit period is to be determined in order to achieve channel coordination and a win win outcome.
In this paper we consider spectrum sharing so as to achieve channel access rates that solve the following optimization problem: (1).
On one hand, the load can be distributed as evenly as possible across the spectrum in a fine granularity to achieve channel load balance.
In addition, the proposed model increases SC profit same as centralized decision making in all investigated test problems, therefore the proposed model is able to achieve channel coordination.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com