Sentence examples for blocking probability of handoff from inspiring English sources

To reduce the blocking probability of handoff voice calls in progress, a few researchers have proposed a subrating scheme.

The corresponding performance indices like blocking probability of new calls (B n ), blocking probability of handoff data calls (B hd ), blocking probability of handoff voice calls (B hv ), overall blocking probability of handoff calls (B h ), overall blocking probability of calls (B), dropping probability of handoff guaranteed calls (D G ) and CL in every cell, are also tabulated.

The blocking probability of handoff calls is B_{h} = frac{{lambda_{hd} B_{hd} + lambda_{hv} B_{hv} }}{{varLambda_{h} }} (7).

Under the cutoff priority discipline, the optimal prioritized channel allocation problem is formulated, which minimizes the weighted average blocking probability of handoff calls while ensuring the prespecified grade of service for new calls and the co-channel interference constraints.

The blocking probability of handoff data and handoff voice calls is obtained as B_{hd} = sumlimits_{i = c + 1}^{c + r + N} {P_{i} } quad {text{and}}quad B_{hv} = P_{c + r + N} (6).

Blocking probability of handoff calls in the jth cell (j = 1, 2,…,K).

(2) Call level: in call level, users expect that both blocking probability of new calls and dropping probability of handoff calls should be at minimum value.

The test results reveal that the FCAC scheme significantly reduces the dropping probability of handoff calls at the cost of increasing the blocking probability of new calls to an acceptable level.

Due to non-uniform and unpredicted nature of traffic, the allocation of channels in a cluster of microcells is suggested using performance metrics such as blocking probabilities of new/handoff calls in progress and carried load etc. Furthermore some other performance results are examined to check the efficiency of the proposed algorithm.

The authors in [7] assume that the spectrum handoff of SUs should meet the constraint of handoff agility, i.e., SUs are only allowed to switch to their neighboring channels, and then formulate a continuous-time Markov model to analyze the forced termination and blocking probabilities of SUs.

The performance results reveal that this new scheme can considerably improve the system resource utilization and reduce the call blocking probability and handoff dropping probability of the integrated networks while maintaining acceptable QoS to the end users.