2015 IEEE International Conference on Communications (ICC) 2015
DOI: 10.1109/icc.2015.7248883
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Delay optimal concurrent transmissions in multi-radio access networks

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Cited by 11 publications
(7 citation statements)
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“…where λ i , E[B i ], ρ i = λ i G/μ i denote the arrival rate, the average holding cost, and the offered load of RAT i, respectively, all according to a state-independent batch-specific policy such as DOCT [13], OMMA [12]. The second term corresponds to the expected increase in cumulative costs that the later arriving batches experience with the given basic policy.…”
Section: B Packet Dispatching Policiesmentioning
confidence: 99%
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“…where λ i , E[B i ], ρ i = λ i G/μ i denote the arrival rate, the average holding cost, and the offered load of RAT i, respectively, all according to a state-independent batch-specific policy such as DOCT [13], OMMA [12]. The second term corresponds to the expected increase in cumulative costs that the later arriving batches experience with the given basic policy.…”
Section: B Packet Dispatching Policiesmentioning
confidence: 99%
“…However, the proportion of traffic λ i assigned to each RAT i can be optimized according to certain objectives. For example, the DOCT scheme in [13] proposes to minimize the maximum delay across multiple RATs, while the OMMA scheme in [12] attempts to minimize the average delay of all RATs. Then the packets are dispatched to each RAT with a probability proportional to its assigned ratio λ i .…”
Section: B Packet Dispatching Policiesmentioning
confidence: 99%
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“…In order to address the above issues, a multiple radio access technology (multi-RAT) TCP traffic splitting strategy has been proposed for heterogeneous networks in [13], which solves the TCP out-of-order by ideally modelling the wireless transmissions in lower layers. [14] proposes a delay skew control algorithm in the packet splitting scenario, which achieves the purpose of controlling the delay bias of packets arriving at UE within a certain range through the design of linear cascade control technology.…”
Section: Introductionmentioning
confidence: 99%
“…They, however, do not consider user arrival and departure. Also, in [12], the authors consider the maximization of expected delays in different RATs as the optimization parameter. However, in our work, we deal with expected maximum delay as the system metric which captures the real life scenario better than that by [12].…”
Section: Introductionmentioning
confidence: 99%