Cognitive network downlink resource allocation method based on LTE (long term evolution)

A downlink and resource allocation technology, applied in the multiple use of transmission paths, digital transmission systems, electrical components, etc., can solve the problems of high computational complexity, less computational complexity, and fewer algorithms to achieve system capacity The effect of large, maximizing system capacity and low computational complexity

Inactive Publication Date: 2015-04-29
SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI +2
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Problems solved by technology

[0006] So far, most of the cognitive radio system resource allocation technologies are optimized to maximize the system capacity, and there are relatively few algorithms that consider the fairness among multiple cognitive users, and the joint subcarrier and carrier power allocation cannot be realized. optimization, therefore, it is necessary to st

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  • Cognitive network downlink resource allocation method based on LTE (long term evolution)
  • Cognitive network downlink resource allocation method based on LTE (long term evolution)
  • Cognitive network downlink resource allocation method based on LTE (long term evolution)

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[0024] The present invention will be further explained below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of this application.

[0025] figure 1 Shown is the scenario description when the cognitive system and the authorized user system coexist. The cognitive system includes a cognitive base station and K=16 cognitive users. The base station is the main control node, which is responsible for collecting the spectrum sensing information of each cognitive user and the channel state information in the system. Adaptive sub-carrier allocation, the allocation result is sen...

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Abstract

The invention relates to a cognitive network downlink resource allocation method based on LTE (long term evolution). The method comprises steps as follows: equally allocating subcarriers in proportion; allocating the power of each user; allocating the power of each user on each subcarrier with a water injection method. According to the method, the subcarriers are allocated firstly, then subcarrier power is allocated through linear time complexity calculation, the equal proportionality principle is considered finally, meanwhile, total transmitted power constraint and master user interference threshold constraint of a system are satisfied, and the capacity of the system is maximized.

Description

technical field [0001] The present invention relates to the technical field of cognitive radio system resource allocation, in particular to an LTE-based cognitive network downlink resource allocation method. Background technique [0002] With the explosive growth of smart mobile terminals, the majority of mobile terminal users have increasingly strong demands for broadband and ubiquitous Internet access. The ubiquitous and broadband wireless network access has become a major trend in the development of mobile communication systems. Following this trend, 3GPP (3rd Generation Partnership Project) launched the long-term evolution LTE (Long Term Evolution) of the wireless access network, aiming at providing high-speed network access services anytime and anywhere. On the other hand, after years of rapid development of mobile communication systems, there are many kinds of communication systems in the real network environment. Excessive communication systems cause frequency band ...

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Application Information

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IPC IPC(8): H04W72/08H04W72/10H04L5/00
CPCH04W52/143H04W52/243H04W72/0453H04W72/56H04W72/566
Inventor 唐亮卢云波俞凯谭冲刘洪郝李欣
Owner SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
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