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Component channel and power distribution method for cognition OFDM (orthogonal frequency division multiplexing) system

A sub-channel and power technology, applied in the field of sub-channel and power distribution, can solve the problems of increased delay, less consideration of system impact, and reduced throughput, so as to reduce switching frequency, improve throughput, and reduce switching delay. Effect

Active Publication Date: 2014-12-17
XIDIAN UNIV
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Problems solved by technology

Frequent channel switching will inevitably lead to an increase in delay and a decrease in throughput. Current literature on resource allocation rarely considers the impact of spectrum switching delay on the system.

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  • Component channel and power distribution method for cognition OFDM (orthogonal frequency division multiplexing) system
  • Component channel and power distribution method for cognition OFDM (orthogonal frequency division multiplexing) system
  • Component channel and power distribution method for cognition OFDM (orthogonal frequency division multiplexing) system

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Embodiment

[0023] like figure 1 As shown, it is a typical cognitive wireless network model. In this cognitive network, there are K cognitive users in total, including K1 delay-sensitive users (DS-CRs) and K2 delay-tolerant users (DT-CRs). Each delay sensitive user has a different minimum rate requirement, while for delay tolerant users it is assumed that there are sufficient packets to transmit.

[0024] The available bandwidth of the entire authorized user system is divided into N sub-carriers, these N sub-carriers are shared by M authorized users, and each authorized user sub-channel is composed of one or more sub-carriers, which do not overlap each other, such as figure 2 shown. It is assumed that each authorized user sub-channel is a flat fading channel, and the traffic patterns of each authorized user are independent of each other. Each OFDM symbol has a length of T s , the scheduling unit of the resource allocation algorithm is a symbol period, that is, at the beginning of eac...

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Abstract

The invention discloses a component channel and power distribution method for a cognition OFDM (orthogonal frequency division multiplexing) system. The method is characterized by including following steps: step1, modeling channel occupation of authorization users into two different types; step2, obtaining an idle subcarrier assembly by sensing a given channel occupation model of the authorization users, and predicting idle duration time of idle channels;step3,performing component channel distribution of delay sensitive users; step4, performing component channel distribution of delay tolerable users; step5, performing power increasing process1: power exchange of the delay sensitive users and the delay tolerable users; and step6, performing power increasing process2: power exchange among the delay tolerable users. By the aid of the dynamic component channel and power distribution method, different QOS (quality of service) demands of the users of two different business types in the cognition system are met, namely, switchover delay of the delay sensitive cognition users is minimized, and accordingly throughput capacity of the delay tolerable cognition users is maximized.

Description

technical field [0001] The invention belongs to a sub-channel and power allocation method of a cognitive OFDM system. Background technique [0002] At present, extensive research has been done at home and abroad on the resource allocation problem of cognitive OFDM wireless networks. The existing literatures discuss the single-user cognitive network and the multi-user cognitive network respectively. For the resource allocation problem in the single-user scenario, the literature models the resource allocation problem as a multi-dimensional 0-1 knapsack problem (MDKP), and proposes a greedy algorithm called "Max-Min". In the user's scenario, the performance is close to the optimal algorithm, but when this algorithm is applied to a multi-user cognitive system, the amount of computation is very large. Obviously, this algorithm is not suitable for multi-user scenarios. The existing literature also converts the cognitive system transmit power constraints and the interference const...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/26H04L5/00
Inventor 刘淑华张海林李勇朝李宏卢小峰
Owner XIDIAN UNIV
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