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| Queuing Analysis of Multi-channel S-ALOHA System with H2H and M2M Blending Traffic Arrivals |
| Haifeng Yu, Xuefen Chi, Lijun Ma, Wenxiao Shi, Lin Guan |
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Abstract Based on queuing theory, we establish an analytical model of
multi-channel S-ALOHA system in which H2H (Human to Human) and M2M
(Machine to Machine) services coexist. Considering the collisions in
access process triggered by multi-users, we make the packet
transmission have dual randomness, one is the random selection of
backoff counter, the other is the random selection of real number to
be compared with persistence value. A new expression of successful
transmission probability is presented to depict the competitive
access among terminals, which can simplify the calculation. To
investigate the interactions of H2H and M2M services, we compare
their performance metrics under two media access modes where access
channels are either shared or partitioned. To relive the congestions
caused by simultaneous access of massive terminals in the case of
channel partitioning, an adaptive access control algorithm for M2M
services is proposed. Each M2M terminal adjusts its retransmission
probability by changing persistent value dynamically to maintain
system throughput at its maximum regardless of the traffic load. The
results of this study can be used for a multi-channel S-ALOHA system
design with H2H and M2M blending traffic arrivals.
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| DOI:10.12733/jics20104341 |
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