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Abstract: The goal of implementing of a cryptologically meaningful quantum computing system requires not only advances in physical qubit performance and fault tolerant operation but almost an equally hard problem of engineering an achievable system.
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MAC layer throughput,, is rapidly degraded above a certain critical load point, which corresponds to the maximum achievable system throughput for a particular multiplexing algorithm.
By maximizing the achievable system rate, a constrained optimization problem is first formulated to jointly allocate powers for the source and relay terminals.
In fact, despite enormous benefits that the reuse-1/4 scheme offers in terms of SINR (due to the very limited level of the co-layer interference), it imposes that each HeNB uses a small bandwidth, thus decreasing the overall achievable system throughput.
Under an allowable MSE η>0, we thus define the achievable system delay D as begin{array}rcl@ &D eta) = & min m &texttt{s.t.}& end{array} (22).
Furthermore, it should be noted that the lower the average SNR of a weak user, the larger the gap between the weak user and a strong user, which has negative impact on the achievable system throughput, as we will see in the following subsection.
The objective is to increase achievable system rate and ensure QoS in the form of minimum rate guarantees.
A new two-dimensional (2-D) optical code division multiple access (OCDMA) scheme to increase the achievable system capacity is proposed.
It is shown that the resulted directive, multiple access and multiplexing gains combined with scheduling, effectively increase both the spectrum spatial reuse and the capacity of the links and therefore, enhance the achievable system throughput.
The achievable system sum rate becomes (9).
Under these assumptions, the achievable system spectral efficiency (sum rate) is calculated as (2).
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CEO of Professional Science Editing for Scientists @ prosciediting.com