Online sequential perception and opportunistic access method based on ε-greedy

An access method and greedy algorithm technology, applied in the field of cognitive radio, to achieve low storage complexity, improve learning speed and system throughput performance, and low storage complexity

Active Publication Date: 2016-05-04
COMM ENG COLLEGE SCI & ENGINEEIRNG UNIV PLA
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Problems solved by technology

[0005] The present invention proposes an ε-greedy-based online sequential sensing and opportunistic access method in a dynamic spectrum environment to solve the problem of sequential sensing sequence learning and cumulative throughput optimization when the statistical information is unknown

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  • Online sequential perception and opportunistic access method based on ε-greedy
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  • Online sequential perception and opportunistic access method based on ε-greedy

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Embodiment Construction

[0043] The sequential channel perception and opportunistic access method based on online learning provided by the present invention, such as figure 1 As shown, the specific implementation is as follows:

[0044] Consider a cognitive radio system with N channels, and the set of channels is {1,2,…,N}. Such as figure 1 , the access and transmission process based on sequential sensing is described as: in each time slot, the user senses the channel sequentially according to a certain order, until an idle channel is found, accesses the channel and uses the rate R in the Data is transmitted during the remainder of the slot. When the user accesses the channel after sensing at the kth step (that is, the current time slot ), the instant transmission income obtained by it is R(T-kτ s ), where R is the transmission rate, T is the duration of a transmission opportunity, and is the time overhead for perceiving a channel.

[0045] The problem to be solved by the present invention is: u...

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Abstract

Disclosed is an epsilon-greed based online sequential perceiving and opportunity accessing method. In each time slot, users perceive channels sequentially and get access opportunistically to realize transmission. The method includes a step of initializing relative parameters and making access decisions based on online learning in each time slot, and has capabilities of learning environments actively and adapting to dynamic changes of environments. In addition, the method is an online decision implementing method, and the next decision is adjusted in real time according to each decision and feedback by systems, so that long-term accumulated throughput gain of the systems is maximized.

Description

technical field [0001] The invention relates to the field of cognitive radio in wireless communication technology, in particular to an online learning method for an optimal sequential sensing sequence in a statistically unknown opportunistic spectrum access system. Background technique [0002] Driven by the initiative of spectrum regulators and the advancement of cognitive radio technology, Dynamic Spectrum Access (DSA) has been widely recognized as an effective means to improve spectrum utilization. In order to protect primary user communication from being affected, cognitive users need to perform spectrum sensing on the channel before accessing the channel to ensure that the channel is idle. Limited by the hardware level, cognitive terminals can usually only perceive a small part of the entire frequency band at a time. In this case, how to reasonably arrange the sensing sequence will directly affect the throughput and access delay of the system. One of the key difficult...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W74/08
Inventor 王金龙吴启晖李柏文郑学强
Owner COMM ENG COLLEGE SCI & ENGINEEIRNG UNIV PLA
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