Allocating method of united resource of relay system based on optimal energy efficiency

A relay system and resource allocation technology, applied in the field of joint resource allocation of relay systems based on optimal energy efficiency

Inactive Publication Date: 2017-01-04
江苏星地通通信科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] For the existing joint resource allocation method based on the optimal energy efficiency of the relay system, the performance improvement brought by the retransmission signal of the base station in the second time slot is not fully considered, and the joint consideration of relay selection, carrier pairing and power allocation, real-time requirements, and low complexity The present invention proposes a relay

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  • Allocating method of united resource of relay system based on optimal energy efficiency
  • Allocating method of united resource of relay system based on optimal energy efficiency
  • Allocating method of united resource of relay system based on optimal energy efficiency

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Embodiment 1

[0080] A relay system joint resource allocation method based on energy efficiency optimization, including

[0081] Step 1: build system model;

[0082] 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. Such as figure 1 As shown, the scenario considered in the present invention is a single-relay multi-user OFDM system. There is one relay and K users in the system, and the total bandwidth is equally divided into N subcarriers. Different subcarriers are independent of each other, and the channels of all subcarriers are subject to Rayleigh fading.

[0083] The system transmits signals through two time slots: in the first time slot, the signal source broadcasts the signal, and both the relay and the user accept the signal from the source node; in the second time slot, the relay completes the Carrier pairing, according to the channel state inf...

Embodiment 2

[0123] Observing the optimization problem P1, it can be found that the objective function is a nonlinear mixed integer programming. If the branch and bound method is used to solve this problem directly, there will be great computational complexity. Therefore, this section applies a relatively simple method to solve the objective function, which greatly reduces the computational complexity. Firstly, the problem is simplified so that it can be solved using conventional linear programming methods.

[0124] In order to reduce the complexity of the algorithm for practical application, the present invention proposes a simplified embodiment, specifically, the solution of the optimization problem P1 in the step 3 can adopt a simplified objective function, including:

[0125] The optimization objective function in the optimization problem P1 is a nonlinear programming of mixed integers. In order to reduce the difficulty of solving this problem, the problem is converted into a common li...

Embodiment 3

[0142] The present invention can be further improved on the basis of Embodiment 2, and the objective function of the optimization problem P2 in the step 3 can be further converted into a continuous linear programming, including:

[0143] Generally speaking, the optimal solution obtained by relaxing the constraints is the upper bound of the optimal solution of the original objective function. Later in this paper, it will be explained that the optimization problem P1 and the optimization problem P2 in this section have the same optimal solution. After transforming the optimization problem P1 of the shaping optimization model into the optimization problem P2 of continuous nonlinear programming, the second step is to transform it into continuous linear programming. Define the optimal solution of the optimization problem P2 as q * ,Right now Redefine the function:

[0144] F ( q ) = m a x ( ...

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Abstract

This invention discloses an allocating method of united resource of a relay system based on optimal energy efficiency, and relates to the technical field of mobile communication. The method comprises the following steps: establishing a system model; analyzing a system scene; resolving problems; and solving an optimization problem by a convex optimization method. Compared with the traditional relay protocol, a base station is allowed to resend information of a first time slot through idle subcarriers during a second time slot; the transmitting power of the base station and the relay can be reduced; and the system capacity can be improved. The method uses an optimization model of the energy efficiency as a nonlinear mixed-integer programming problem; since the existing conventional method cannot be applied to solve the problem, and in order to reduce the complexity of the problem, the method first changes the optimization model into linear convex programming through using a Dinkelbach method, then solves the simplified linear programming problem based on dual programming, and finally works out an optimal solution based on the Hungarian algorithm and the subgradient algorithm. The method is reasonable in algorithm design, and is easy to realize.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and more specifically relates to a relay system joint resource allocation method based on energy efficiency optimization. Background technique [0002] In today's society, 4G networks have begun to be popularized, and one of the key technologies is Orthogonal Frequency Division Multiplexing (OFDM) technology. OFDM technology originated in the mid-1960s, and the patent was published in the 1970s. Its basic idea divides the total transmission frequency band into multiple sub-carriers with overlapping spectrums, but each sub-carrier does not affect each other, and has a high spectrum utilization. It is a special frequency multiplexing technology. [0003] The early OFDM system used the traditional analog signal to transmit the carrier, and it was quite complicated to realize a series of steps such as modulation, demodulation, and synchronization, which made it too expensive to use the ...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04L5/00
CPCH04L5/0007H04L5/0094H04W72/0453Y02D30/70
Inventor 梁广俊李林国李淑敬
Owner 江苏星地通通信科技有限公司
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