Energy acquisition relay station-based heterogeneous cellular network power allocation method

A technology of energy harvesting and cellular network, which is applied in network planning, energy consumption reduction, advanced technology, etc.

Inactive Publication Date: 2017-01-04
梁广俊
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] Aiming at the problems that the existing cellular heterogeneous network does not fully consider the delay limitation, the energy-saving scheme of renewable energy, and the auxiliary relay station, the present invention proposes a heterogeneous cellular network power assignment m

Method used

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  • Energy acquisition relay station-based heterogeneous cellular network power allocation method
  • Energy acquisition relay station-based heterogeneous cellular network power allocation method
  • Energy acquisition relay station-based heterogeneous cellular network power allocation method

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Experimental program
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Embodiment 1

[0105] A method for assigning power in a heterogeneous cellular network based on an energy harvesting relay station, comprising the following steps:

[0106]Step 1: System scenario analysis, the problem comes down to:

[0107] The present invention considers a classic three-node scenario in a heterogeneous cellular network based on an energy harvesting relay station. For a special application scenario, the source is practical application, and the scenario setting is detailed and reasonable, and has practical guiding significance. In the scene, there is an energy harvesting base station BS (abbreviated as B), an energy harvesting relay station Relay (abbreviated as R) and a target communication cellular user User (abbreviated as U), considering the energy harvesting base station B and the cellular user There is a direct path between U, which can be cooperatively forwarded through the relay station R. The relay station R adopts the decoding and forwarding (Decode Forward, abbrev...

Embodiment 2

[0164] + On the basis of the first embodiment, we further improve it by adding consideration of the resource allocation problem under the time delay constraint. The invention considers the problem of optimal system performance under the condition of time delay limitation, achieves a compromise between time delay and network rate, and ensures that cellular users meet the best network performance under the time delay limit required by services. Specifically, step 5 mentioned above also includes:

[0165] comparative judgment If yes, skip to step 6, and if not, skip to step A. After skipping to step A, the algorithm will not end, and further in-depth optimization will solve the optimization problem more accurately;

[0166] Step A: Calculate

[0167]

[0168]

[0169]

[0170]

[0171] Among them: i b,k means from i b,k-1 The power turning point of the first base station B in the future, Indicates the power allocation scheme of the corresponding base station B,...

Embodiment 3

[0191] On the basis of Embodiment 1 and Embodiment 2 of the present invention, we make further improvements. For solving the optimization problem, we adopt convex optimization processing to convert the objective function of the optimization problem, without approximate calculation, without affecting the accuracy of the problem and at the same time extremely The computational complexity is greatly reduced, and the delay caused by system overhead is reduced.

[0192] Specifically, the step 2 also includes: convex optimization processing, using the Lagrangian theorem and KKT conditions in the convex optimization theory, the optimization problem can be subjected to convex optimization processing, and the optimization problem can be transformed into:

[0193]

[0194] We further analyze the optimization problem P2:

[0195] The optimization objective function is to maximize

[0196] The optimization variable is P B (i) and P R (i+1),

[0197]

[0198] The constraints ar...

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Abstract

The invention discloses an energy acquisition relay station-based heterogeneous cellular network power allocation method, and belongs to the technical field of wireless communication. The method comprises the following steps: analyzing a system scenario, and summarizing a problem; establishing a system mathematic model; calculating an optimal solution by virtue of an optimization method. The method is implemented from a practical application for a special application scenario, and a renewable-energy-based energy saving scheme is combined to assist in cooperative forwarding of an energy acquisition relay station under the condition of comprehensively considering delay constraints. For solution to an optimization problem, convex optimization processing is adopted, and a target function of the optimization problem is transformed, so that approximate calculation and influence on accuracy of the problem are avoided, meanwhile, calculation complexity is greatly reduced, and a time delay generated by system overhead is reduced; a Lagrange multiplier method is adopted in an optimization process, so that the optimization speed is high; a sub-gradient method is adopted in an algorithm iteration process, and a progressive step length is adopted, so that higher optimization accuracy is achieved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and more specifically relates to a power assignment method for a heterogeneous cellular network based on an energy harvesting relay station. Background technique [0002] In order to meet the rapidly increasing data rate and higher coverage quality requirements of today's wireless communications, and significantly improve the performance of cellular networks, 3GPP proposed a heterogeneous network (Heterogeneous Network) technology in the standardization of LTE-Advanced. In this context, various handheld terminals such as smart phones, smart tablets, electronic paper books, Google glasses, smart watches, smart bracelets, etc. have experienced explosive growth. According to the latest data from Cisco, as of 2014, there is one mobile terminal device per capita in the world; at the current growth rate, it is estimated that in 2018, the total number of mobile devices in the world will r...

Claims

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Application Information

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IPC IPC(8): H04W16/18H04W24/02
CPCH04W16/18H04W24/02Y02D30/70
Inventor 梁广俊
Owner 梁广俊
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