Dynamic multi-access business distributing method in isomerism cooperative network
A collaborative network and multi-access technology, applied in network traffic/resource management, network planning, electrical components, etc., can solve problems that affect the performance of business distribution and do not consider the rate of multi-mode terminals for business bursts
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Embodiment 1
[0060] Please refer to figure 1 , the present invention limits and smoothes the suddenness of business by adding a token funnel in the wide area network, considering such as figure 1 In the shown heterogeneous network scenario where WWAN and WPAN cooperate, there are N different WWANs and one WPAN composed of multiple MMTs. For convenience of description, different WWANs are represented as RAN={RAN1, RAN2,...,RANN}, WPANs are represented as RANN+1, and different MMTs are represented as MMT={MMT1,MMT2,...,MMTM}. In this heterogeneous network, assuming that there is data to be transmitted from the WWAN to MMT1, the input service flow can be divided into multiple service sub-flows, which are respectively transmitted through different WWAN i,i∈{1,...,N} to the The associated MMT j, j∈{1,...,M}, and then different MMTs in the WPAN cooperate to transmit, and the split data stream finally reaches MMT1, where sub-stream aggregation and recovery are realized at MMT1, thus completing e...
Embodiment 2
[0089] Please refer to figure 2 , this paper considers the token funnel-based shunting optimization problem. The speed at which the token is generated is the speed of the bit stream that is allowed to enter the network is r b / s, and the capacity of the funnel is W bit. Then the average time to transmit a packet is μ=r / L. is the time that tokens can be accumulated, then the average delay of packets passing through the token funnel system is [8]:
[0090] T = 1 μ - λ e - c ( μ - λ ) - - - ( 1 )
[0091] The time c that the token can accumulate is related to the transmission rate that the terminal can provide (c≤μ N+1 ).
...
Embodiment 3
[0126] Dual-based distributed solution method
[0127] For the solution of the optimization problem (P), the Lagrangian function is used to transform:
[0128] L ( λ i , v ) = Σ i = 1 N 1 μ i - λ i e - ...
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