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Network packet scheduling method applicable to wireless high-speed adaptive channels

An adaptive channel and network grouping technology, applied in the network field, can solve problems such as inapplicable wireless channel characteristics, achieve the effect of improving throughput, easy implementation, and meeting different requirements

Inactive Publication Date: 2006-07-26
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The channel model of the current (including the above) wireless network packet scheduling method is mainly based on the GE (Gillbert Elliott) model of the two-state Markov chain, which divides the channel into two states: channel good (G) and channel bad (B), but the channel state of the adaptive channel is multi-state, and there is still an intermediate state between the best channel and the worst channel, so the GE model can no longer be applied to the current wireless channel characteristics

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  • Network packet scheduling method applicable to wireless high-speed adaptive channels
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  • Network packet scheduling method applicable to wireless high-speed adaptive channels

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Embodiment Construction

[0033] The applicable network model of the grouping scheduling method proposed by the present invention is as follows: assuming that there are N mobile terminals accessing the system through APs or base stations, the scheduling method proposed by the present invention operates in APs (access points) or base stations, The terminal creates a queue (a total of N queues), and all data sent to a specific terminal is put into the corresponding queue in a FIFO (first-in, first-out) manner. The wireless channel has at least two channel states, each channel state corresponds to a different channel rate, and the channel state is a time-varying random variable. The present invention serves each backlog (that is, there are packets waiting to be transmitted in the queue) queues in a polling manner. Before starting the service, the scheduler can accurately estimate the channel corresponding to the current backlog queue through the channel state detector / estimator state and serve the queue a...

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Abstract

This invention relates to one network division dispatching method applied in wireless speeding self-adapting signal channel in network technique field, which comprises the following steps: Initiating; determining current servo lines; sending ratio super lines compensation or simultaneous lines for lines and adjusting lines super and lack volume; adjusting difference timber value; taking lines set and computing set length; jading the length and difference timer size; dispatch device sending the set; judging the current lines is zero; deleting the index of the current lines from requirement list to make the difference value as zero and adjusting the current line super and lag values then going back to step 2; adding the line index to the requirement end and going back to step two.

Description

technical field [0001] The present invention relates to a method in the field of network technology, more specifically, to a network packet scheduling method suitable for wireless high-speed adaptive channels. Background technique [0002] Wireless network packet scheduling is derived from wired network packet scheduling. At present, there are two main types of wired network packet scheduling methods: GPS-based (general processor sharing) and RR (round-robin based) scheduling methods. The packet scheduling of the wireless network is also correspondingly developed based on the above two scheduling methods combined with the characteristics of the physical layer of the wireless network. Typical GPS-based methods include Fair Scheduling in Wireless Packet published by S.Lu et al. in "IEEE / ACM Transactions on Networking" (IEEE / ACM Network Journal) (1999, Vol. IWFQ proposed in Networks (Fair Scheduling of Wireless Packet Networks); T.S.E.Ng et al. in "INFOCOM'98, Proceedings.IEEE...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/56H04L1/00H04L12/863
Inventor 李锋张卫东曹春生尹汝泼柴郁
Owner SHANGHAI JIAO TONG UNIV
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