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In [18], the authors consider the caching and user association problem in a HetNet with wireless backhaul and formulate the problem as a mixed discrete-continuous optimization to minimize the total time that the HetNet must be active in order to satisfy the average requests for given bandwidth and cache resources.
The satisfaction factor, the average requests' rejection rate, the average superframe utilization and the fairness index variations are studied.Figure 18 shows a comparison of the superframe utilization for different loads (μ1) when using the dynamic superframe size proposal or fixing the superframe size to its maximum value.
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The experimental results convincingly demonstrate that ADRW algorithm is adaptive and is superior to several related algorithms in the literature in terms of the average request servicing cost.
The average tardiness achieved is less than 10% of the average request duration (lifetime).
The content request arrival process follows a Poisson process, with the average request rate per UE γ.
Figures 10, 11, and 12 show the average request response time under 10, 20, and 50 users, respectively.
The time for simulation is 20 min, the average request rate per UE is γ = 6 requests/min.
As shown in Figures 10, 11, and 12, the average request response time increases for every increase in number of users requests.
Essentially the user just provides a weighted parameter to penalize optimization solutions which increase the average request latency, further details are described in [5].
This impaper that, for flow, is compuses after every time slot.
The second evaluation is done by testing the average request response time of the proposed system when different number of users login the system (i.e., 10 users, 20 users, 50 users) taking into account the users request time.
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CEO of Professional Science Editing for Scientists @ prosciediting.com