Assuming that partial channel state information is available at the transmitter in the form of an estimate of the SNR, it has been shown that resources can be optimally allocated based on this partial CSIT (see, e.g., [13, 14]).
Even without explicit plastic root responses such as altered root length, root demography etc. (see Hodge 2004, 2006), it is shown that resource distribution could have significant effects on the outcomes of different growth scenarios, with competitive growth being significantly influenced by resource heterogeneity.
In [9], it has been shown that many multicarrier resource allocation problems satisfy a "time sharing" property when the number of subcarriers reaches infinity, and the optimal solution can be obtained via dual decomposition techniques.
Even though phylogenetic studies indicate that 30too 50 MY evolution separate the two species [ 3, 4], it has been shown that most methods and resources developed for X. laevis can be readily applied to X. tropicalis [ 5].
It has been shown that these natural products are useful resource to produce pharmacological bioactive agents [10, 11, 12].
From the numerical results, it is shown that time resource and human resource in implementing the strategy will be required mostly at the beginning of the period and then lessen over time.
This effect is drawn from the resource utilization (percentage of the total amount of resources that are being used) depicted in Figure5, where it is shown that the resource utilization in L 4 is approximately 50% with 50% LTE penetration and approximately 80% with 100% LTE penetration (i.e., approximately 30% increased).
In Fig. 7, it is shown that the resource efficiency is lower in FRFTF than in TCP.
A joint optimization problem is formulated for both frequency and service dimming, and it is shown that reducing resource usage is a promising technique for energy saving.
For the multiple relay case, it is shown that the resource partitioning based on relay selection is enough to find the best relaying configuration.
