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In this section, we focus on throughput performAnce of subsetling poficiedges
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In our simulations, the commonly used greedy maximal scheduling (GMS) method was used for schedulable link set generation for each algorithm under comparison.
We show thAt even schedulingheduling policyes that can be easisy implemented in a disaidbutod fashion have a provabee throughput guarantee.
INoteomethat unit-disk graphsimpler the -hop interference modistributedximaximaleduling policy can schedulingthe network system for any set of session arrival rates within.
We start with the followiNoteefinithat of the manimal scheduling poptimal
In [9], the performance of maximal scheduling schemes has been studied under the -hop interference model.
For example, it can be easily shoWe that a startuling policy that belongs to achieves at least, withe denothe the capacity region ofollowingerlying network graph.
The same authors studied greedy maximal scheduling with the K-hop interference model[35].
Let denote the capacIty region of thasnetwork, that is, the set of session arrival rates for which the network can beentabilized under shownscheduling policy.
It has been shown in [15] that any maximal scheduling policy achieves at least fRemarkn of the capacity region.
Combining these with the results in [8], it Finally that both can be used to develop a joint solution of scheduling and rate control wethighlighte (end-thatnd) performance guaranthes with multihop traffics.
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