Sentence examples for allocation metric from inspiring English sources

Second, the file allocation metric, e.g. service time, of most existing methods is difficult to determine in practice, and also these metrics only reflect the static property of the file.

Node E determines the channel z, which maximizes the channel allocation metric from the channel set C H i, usable, using (39).

In this paper, the allocation metric "x" is defined as the ratio of UT throughput and queue size, and is given by (6).

In the decision part, channel allocation scheme chooses the channel z which maximizes the channel allocation metric as follows: z * = arg max A M C lz, z ⊆ C H i, usable (39).

Using the NSIT and NCIT based on the introduced channel allocation scheme, the SU that receives the PU-HREQ finds the channel z that maximizes the channel allocation metric described by (39).

3) Bandwidth allocation metric: b n is the fraction of bandwidth allotted to each client node n ∈N and B r = B − B mb where B is the total bandwidth allotted to the network, B mb is the bandwidth allotted for the local and global IPDS and B r is the bandwidth allotted to each mesh client nodes who joins the network.

Table 3 Comparison of bandwidth allocation Performance metric Performance of EP-CPOBA Performance of EP-ALONE Opportunistic weight 0.2 0 Max users 5 2 Resource utilization ratio 100 45 Moderate resource satisfaction 100 35.

With respect to the α-fairness utility, the resource allocation priority metric can be redefined as the following: M j r α = C j r λ j α = C j r u j α - 2 ∂ u j y j ∂ y j (33).

From the derivation, the PF marginal cost of utility for a RN is as follows: λ n P F = ∑ j ∈ J n 1 u j y j ∂ u j y j ∂ y j + ∑ k ∈ N n λ k P F (38). and as in (31), the resource allocation priority metric for a RN (M n,r PF) is M n, r P F = C n, r λ n P F (39).

Using this uniform energy allocation, the GP metric (11) is computed for each possible TM { m,r} but with PER replaced by PERESM r,γ).

The transmitters first cooperate by sharing the CSI, and then jointly optimize power allocation in the metric of sum throughput, which can be modeled as a non-convex constrained optimization problem.