Recently, also a limited number of energy-aware DSM designs have been proposed [7, 20, 22, 24], such as the minimization of the (weighted) sum of transmit powers subject to data rate constraints minimize s ∈ S ∑ n ∈ N t n P n subject to R n ≥ R n, target, n ∈ N, P n ≤ P n, tot, n ∈ N, (8). in which t = [t1,..., t N ] are weights.
The estimated concentrations provided by the EPA are based on complex modeling of emissions data, subject to the constraints of the data and the assumptions underlying the predictive models.
For instance, one of the first proposed DSM designs is (6) in which the data rate of one user R1 is maximized subject to minimum data rate constraints for the other users, i.e., R n ≥ Rn, target, n > 1, and user total transmit power constraints, i.e., P n ≤ Pn, tot, n ∈ N, with Rtarget = [R1,target,..., RN,target]T, and Ptot = [P1, tot,..., PN, tot]T.
DSM designs (8)(11)(12)(13) are all Pareto-optimal in power as they correspond to power minimizing DSM designs subject to minimum data rate constraints, i.e., DSM design (8) with a specific set of weights t n.
Such a manifold preserves distance relationships of the data, subject to the constraints of the nearest-neighbor graph and the locally (but not globally) linear embeddings that describe it.
The filtering capabilities of iRefWeb can be readily exploited to extract organisms-specific interactomes from the consolidated data subject to specified constraints.
Research efforts in DSM have mainly focused on DSM designs involving purely data rate driven objectives [4 9, 12], to achieve some Pareto-optimal allocation of data rates subject to power constraints (3) and (4).
Specifically, we considered maximization of the heat load (design parameter) and supply temperatures of CRAC (operating parameter) in the data centre subject to the constraints that: (1) servers are kept at appropriate temperatures and (2) overloading of CRACs is avoided.
We were cognizant of these challenges, and developed a model-building approach that could yield interpretable models subject to the constraints of available data.
This paper deals with control system design subject to average data-rate constraints.
Our results are based upon a recently proposed framework to address control problems subject to average data-rate constraints.
