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Similarly, P B 1 ( SU ) (resp. P B 2 ( i, SU ) ) are the SUs blocking probabilities for the No priority scheme (resp. for the priority scheme).
I SU is the level of the measured interference from the SU transmissions, used for determining the SU adjacency and the conflict edge weights.
Summing up all the results implies that the dropping probability in a WSP i of a SU making a handover from WSP j by a another SU from i, i ≠ j is given by P D 2 ( j, i, SU ) = ( ∑ n → ∈ F Π Â¯ ( n → ) 1 { n PU i < T h i } + ∑ n → ∈ F Π Â¯ ( n → ) 1 { n SU − i ≠ 0 } ). 1 { ∑ k = 1 N n ( k ) = M, n SU − j = 0 }.
3) U i : SU's channel utilization U i, which is the weighted average of ρ 0,iand ρ 1,i, decreases as T increases.
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It can be observed that we can increase the throughput by allowing (i) SUs to achieve better sensing performance or (ii) SUs to reduce their sensing times.
To reduce the possibility of call drop, higher priority is given to interrupted SUs over new SUs, i.e., SUs with initial service requirement; thus, interrupted SUs will be put before new SUs in the low-priority sub-queues.
For simplicity, we refer to pair i of SUs simply as SU i.
After sensing, each i th SU has a list of available channels denoted C i. Two SUs are called neighbors if they are within the transmission range of each other and they have at least one channel in common.
Step 4: Every i th SU broadcasts w i, X i, and Y i to its neighboring SUs.
Step 2: Each i th SU computes the degree of connectivity d im with its neighboring clusters.
Algorithm 1 computes the maximum edge biclique graph for the i th SU.
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