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The spectrum scheduler (SS) forms an optimal schedule by incorporating the observations and calculations from different components within the spectrum allocator with the prime objective of interference avoidance (eviction/silence) with PU and transmission power reduction.
Empirical trials also indicate that the proposed optimization algorithm almost always converges to an optimal schedule with a reasonable number of iterations.
Consider an optimal schedule S for (1// - al_{hbox{min} }).
The energy consumed by an optimal schedule that ends at Topt is equal to E(Topt).
Hence it sufficies to show that the energy used by an optimal schedule cannot be less than E(Topt).
We state these results in Lemma 2. Consider an optimal schedule that ends during epoch k∗ + 1.
Similar(15)
We formulate an optimization problem aimed at finding an optimal scheduling algorithm that obtains maximum throughput guarantees in a wireless network.
In addition, an optimal scheduling model for RMEP is proposed.
The following theorem characterizes an optimal scheduling and rate control policy that solves (8 - 10).
We obtain an optimal scheduling and rate control policy through stochastic control methods.
Finally, we study an optimal scheduling scheme, which is based on achievable individual secrecy rates.
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