Multi-service OFDM (Orthogonal Frequency Division Multiplexing) cross-layer dynamic resource distribution method based on evidence theory
A technology of dynamic resource allocation and evidence theory, applied in the field of multi-service OFDM cross-layer dynamic resource allocation based on evidence theory, which can solve the problems of low precision, reliability and accuracy
Inactive Publication Date: 2014-02-26
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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[0003] The purpose of the present invention is to provide a multi-service OFDM cross-layer dynamic resource allocation method based on evidence theory, by fusing the evaluation index in the QoS component, to determine the scheduling level of the data packet, to overcome the resource scheduling priority based on a single evaluation index Defects with low precision, reliability and accuracy when making discrimination
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[0100] The preferred embodiments are described in detail below in conjunction with the drawings. It should be emphasized that the following description is only exemplary, and is not intended to limit the scope of the present invention and its application.
[0101] Choose a data packet i, the service category of this data packet is s, T_delay(i)=20ms, R_aver(s)=200bps, L_loss(s)=0.2, T_max(s)=40ms, R_total(s)=300bps , L_max(s)=0.3.
[0102] figure 1 It is a flow chart of multi-service OFDM cross-layer dynamic resource allocation method based on evidence theory. according to figure 1 As shown, the method provided by the present invention includes the following implementation steps:
[0103] Step 1: According to the scheduling level, establish a target set for dividing data packets.
[0104] In this embodiment, according to the order of the scheduling level from high to low, the data packet is divided into three target sets: a sharp set, a fuzzy set, and a waiting set.
[0105] Step 2: ...
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The invention discloses a multi-service OFDM (Orthogonal Frequency Division Multiplexing) cross-layer dynamic resource distribution method based on an evidence theory in the technical field of wireless communication. The method comprises the following steps of: establishing target sets for dividing data packets according to the scheduling level; setting evaluation indexes; calculating to obtain elementary probability distribution function values through which the data packets under each evaluation index are divided to the target sets according to membership functions through which the data packets under each evaluation index are divided to the target sets; according to the D-S (Dempster-Shafer) evidence theory, carrying out fusion on the elementary probability distribution function value through which the data packets under each evaluation index are divided to the target sets, thus obtaining a fused elementary probability distribution function value; and according to the fused elementary probability distribution function value, determining the scheduling level of the data packets; and scheduling the data packets according to the scheduling level and the fused elementary probability distribution function value. The multi-service OFDM cross-layer dynamic resource distribution method can be used for overcoming the defects of lower precision, reliability and accuracy when the resource scheduling priority is discriminated according to a single evaluation index.
Description
Technical field [0001] The invention belongs to the field of wireless communication technology, and in particular relates to a multi-service OFDM cross-layer dynamic resource allocation method based on evidence theory. Background technique [0002] With the development of wireless multimedia services, wireless channels need to support more reliable and higher-speed communications, and can guarantee the different service requirements of multiple users. OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing) has attracted much attention due to its strong ability to resist inter-symbol interference, flexible frequency domain channel control capabilities, and high-performance physical layer link capabilities. How to combine the physical layer with the upper-layer service requirements and optimize resource allocation has become a key factor in improving system performance. Therefore, it is urgent to study the multi-service cross-layer dynamic reso...
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IPC IPC(8): H04W72/08H04W72/12H04W72/54
Inventor 唐良瑞张静祁兵孙毅
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)