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Method for transmitting speeds, sending power and distributing frequency spectra in distributed collaboration mode

A distributed collaboration and transmission rate technology, applied in power management, network traffic/resource management, electrical components, etc., can solve problems such as inapplicable cognitive self-organizing networks

Inactive Publication Date: 2014-06-04
SOUTHWEST UNIVERSITY
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Existing techniques have proposed distributed algorithms for joint spectrum allocation, power control, routing, and congestion control, however these results are not applicable to OFDMA-based cognitive ad hoc networks because the set of available subcarriers is detected by suitable spectrum sensing techniques, Thus there is no collision between subcarriers

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  • Method for transmitting speeds, sending power and distributing frequency spectra in distributed collaboration mode
  • Method for transmitting speeds, sending power and distributing frequency spectra in distributed collaboration mode
  • Method for transmitting speeds, sending power and distributing frequency spectra in distributed collaboration mode

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Embodiment Construction

[0032] Such as figure 1 As shown in , a method of distributed cooperative transmission rate, transmission power and spectrum allocation, its theoretical principle is: regard elastic link capacity as a function of transmission power, build a joint optimization model of congestion control and power control, so as to maximize The network utilization with multiple optional subcarrier links, the joint optimization model is a non-convex and inseparable optimization problem, by introducing new variables and small perturbed quadratic terms, the original optimization problem can be transformed into Separable and dualizable problem, that is, the problem can be decomposed into a congestion control subproblem and a power control subproblem, the former is a primitive algorithm that generates congestion costs based on locally aggregated source rates; the latter is a dual algorithm, The algorithm updates the transmission power according to the congestion cost. The distributed cooperative al...

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Abstract

The invention discloses a method for transmitting speeds, sending power and distributing frequency spectra in a distributed collaboration mode. The capacity of an elastic link is seen as a function of transmission power, a combined optimization model of congestion control and power control is established, so that a network application with a plurality of optional subcarrier links is optimized, the combined optimization model relates to a non-convex and inseparable optimization problem, and the original optimization problem is converted into a separable and dualization problem by introducing a new variable and a small disturbance secondary item. According to the method, optimal transmission speeds can be provided for all the subcarrier links, moreover, it can be determined that transmission can be achieved by how much power and on which subcarrier, converging can be faster, and larger network utilization, throughput capacity and effective resource utilization can be obtained.

Description

technical field [0001] The invention relates to the cross-layer resource allocation of the physical layer and the transmission layer in the wireless cognitive self-organizing network, in particular to a method for distributed cooperative transmission rate, transmission power and frequency spectrum allocation. Background technique [0002] Congestion control has been widely studied as a network utilization maximization (NUM) problem. At present, a large number of studies on NUM problems mainly focus on congestion control at the transport layer and contention control and channel allocation at the MAC layer, mainly considering congestion control and contention control. The purpose of the joint design is to find the optimal end-to-end source rate on the transport layer and the link persistence probability of the MAC layer to maximize the aggregated source utilization, but the impact of transmission power on congestion control and channel utilization is not considered. [0003] I...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W52/04H04W84/18H04W28/02
Inventor 郭松涛王飞刘德芳杨阳余红宴
Owner SOUTHWEST UNIVERSITY
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