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A Joint Resource Allocation Method Based on Energy Harvesting Cooperative Communication System

A technology for energy collection and resource allocation, applied in network traffic/resource management, wireless communication, energy consumption reduction, etc.

Active Publication Date: 2019-08-23
GUANGDONG KUICHUANG TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] In view of the problems that the existing cooperative communication system resource allocation methods do not fully consider the performance improvement brought about by energy harvesting factors, the joint relay selection and power allocation under the condition of energy causal constraints, the practical application requirements of engineering, and the practical application of low-complexity algorithms, etc., The present invention proposes a joint resource allocation method based on the energy harvesting cooperative communication system, which combines the joint relay selection and power allocation under the condition of energy causal constraints, and combines the energy saving scheme brought by the energy harvesting technology to assist the low-complexity iterative algorithm , suitable for practical engineering applications, maximizing network performance for real-time communication of users

Method used

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  • A Joint Resource Allocation Method Based on Energy Harvesting Cooperative Communication System
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  • A Joint Resource Allocation Method Based on Energy Harvesting Cooperative Communication System

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Embodiment 1

[0132] A joint resource allocation method based on an energy harvesting cooperative communication system, comprising:

[0133] Step 1: System scenario analysis, problem resolution;

[0134] Step 1.1: System scenario analysis;

[0135] The present invention is aimed at a special application scene, comes from practical application, and the scene setting is meticulous and reasonable, and has practical guiding significance. Consider a multi-relay cooperative communication scenario based on energy harvesting. In the scenario, there is a signal source Source (abbreviated as S), and M relay station Relays for energy harvesting (abbreviated as R i , i=1, 2,..., M) and a target communication terminal Destination (abbreviated as D), there is no direct path between the signal source S and the target communication terminal D, it must pass through the energy harvesting relay station R i Cooperative forwarding, relay station R i Select the working mode of amplification and forwarding, a ...

Embodiment 2

[0173] P1 is non causal CSI / ESI (the current state and future state of the known channel and energy harvesting), which can store the upper bound of energy infinitely. If the constraints in the optimization problem P1 are modified, 1=N is retained, that is, the constraints in P1 are modified condition for Then the optimization problem P1 with high complexity can be turned into a generalized assignment problem P2 (generalized assignment problem, GAP).

[0174] P2:

[0175]

[0176]

[0177]

[0178]

[0179] P2 has no closed-form solution. If the transmission power is fixed, exhaustive search can be solved, but it will be very slow. The 1601 can only solve 4 points during simulation because it is too complicated. Use the solution of P2 as the upper bound of P4 (causal CSI / ESI), and build a suboptimal solution to the P4 problem to approach this upper bound. Although the solution to the optimization problem P2 is still very complicated, the number of iterations ...

Embodiment 3

[0192] if ignored this restriction. Problem P1 becomes the traditional instantaneous information-based relay selection problem P3, which 1601 uses as a lower bound to compare performance characteristics. We use a greedy strategy here to get a better lower bound.

[0193] Account 3:

[0194]

[0195]

[0196]

[0197] The optimal solution of P3 can be obtained by using the classic convex optimization theory:

[0198]

[0199]

[0200] in Indicates that the i-th relay sends the j-th data block is the allocated energy ( We set T later and in the simulation C = 1), Indicates the energy stored by the i-th relay before sending the j-th data block, P i rmax Indicates the maximum transmission energy of the i-th relay.

[0201] The energy update formula of relay node i: (there is a corresponding relationship between energy and power )

[0202]

[0203] in, Indicates the energy collected by the i-th relay during the transmission of the k-th data blo...

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Abstract

The invention discloses a combined resource distribution method based on an energy acquisition cooperation communication system and belongs to the cooperation communication technology field. The method comprises steps of system scene analysis and problem resolution; system mathematics model establishment and optimal solution calculation on the basis of an optimization method. According to the method, for the special application scene from a practical application, compared with a relay selection method in the prior art, problems of high complexity and high network cost existing in relays in the prior art are solved, a single relay node selection algorithm and a corresponding resource distribution algorithm are searched from an easy-practical-application angle, single relay cooperation communication on the basis of energy acquisition is considered, a throughout expression under the scene is derived, optimal relay selection and power distribution are considered in a combined mode, and the method has great guiding meaning.

Description

technical field [0001] The invention belongs to the technical field of cooperative communication, and more specifically relates to a joint resource allocation method based on an energy harvesting cooperative communication system. Background technique [0002] Wireless networking has changed rapidly over the past decade, incorporating many advanced technologies. Among them, the resource allocation problem of the cooperative relay strategy has become a focus of research in the wireless communication academic and industrial circles. At the same time, it is recognized as a major breakthrough in wireless communication because it improves the performance of wireless communication systems by significantly improving the robustness of the system and reducing potential energy loss. Cooperative communication can take advantage of multi-user systems to achieve distributed space diversity without requiring multiple antennas on each node. The information of other users is relayed by mul...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/06H04W28/02H04W40/10H04W40/22H04W52/04
CPCH04W24/06H04W28/0221H04W40/10H04W40/22H04W52/04Y02D30/70
Inventor 杨英亮蔡育勤郑铭帆梁广俊
Owner GUANGDONG KUICHUANG TECH DEV CO LTD
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