Exact(3)
Besides, to achieve the best PSNR performance under a transmission rate, we use a heuristic method to allocate the source coding rate and channel coding rate.
One way to take this particular case into account is to perform a first optimization (called first step hereafter), trying to allocate the source power in an optimum way, not considering the constraint on the relay power.
Also, we propose enhancements to the frame layer rate control to better allocate the source bits.
Similar(57)
Given the received SNRs which are available at the source and relay, our aim is to find the optimal resource allocation parameters that maximize capacity lower bound in terms of the transmitted power and the total bandwidth for -MBRC, which leads to optimally allocating the source power among source bands, the relay power among relay bands, and the total bandwidth among bands.
The final objective is to optimally allocate the available sources for investment M (budget), so as to minimize the economic losses due to the impact of extreme events.
The rate can be further increased by allocating the remaining source power to a carrier in set or in set.
The resulting optimality conditions are analogous to those derived in [16] and dictate that the source should allocate the whole of its training energy to the first phase, to equispaced and equipowered pilots[17].
In that case, the relay does not forward on that subcarrier, and the water-filling solution is used to allocate the transmit power of the source nodes: p n ∗ ( R ) = 0 ∀ n ∈ N, λ ̌ n ( S D ) > λ ̌ n ( S R ) (83) p ̌ n ∗ ( S ) = 1 μ ( R ) − 1 λ ̌ n ( S D ) + ∀ n ∈ N, λ ̌ n ( S D ) > λ ̌ n ( S R ). (84).
In this paper, we develop new iterative algorithms of extremely low complexity to jointly allocate the transmit power at the sources and the relay.
Optimal economic operation of microgrid is to properly allocate the output of micro-sources to increase the economic benefits of the microgrid.
Concerning the issue of energy exchange of a microgrid with the main power grid, [7] targets on the development of a neural network based energy management system (EMS) to allocate the dispatch of generation sources in a microgrid to take part in the energy trading market and minimize global energy production costs.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com