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Energy efficiency optimization method in MIMO distributed base station system

A distributed base station, energy efficiency technology, applied in the field of energy efficiency optimization problems in mobile communication networks

Active Publication Date: 2015-11-18
SOUTHEAST UNIV
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Problems solved by technology

[0003] Purpose of the invention: The purpose of the present invention is to provide a method for optimizing energy efficiency in a MIMO distributed base station system in view of the deficiencies in the prior art. On the one hand, this method solves the problem of selecting remote access points: select a part of The information transmission of the access point does not adopt the method of fully opening the remote access points; on the other hand, given the set of activated remote access points, a problem of energy efficiency optimization is given

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Embodiment Construction

[0041] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the implementation examples.

[0042] The embodiment of the invention discloses a method for optimizing energy efficiency in a MIMO distributed base station system. Such as figure 1 as shown,

[0043] We consider a downlink single-user distributed base station with 1 remote access point and 1 user. When the number of remote access points is less than 6, the position of the jth access point is (rcos(2π(j-1) / I)), rsin(2π(j-1) / I)), j=1, 2,...,I, where r=2Rsin(π / I) / (3π / I), otherwise the first remote access point is located at the cell center (0,0), and the other I-1 access points are located at (rcos (2π(j-1) / (I-1))), rsin(2π(j-1) / (I-1))), j=2,...,I.

[0044] The energy efficiency optimization method of the embodiment of the present invention mainly includes two parts. First, under a given set of activated access points,...

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Abstract

The invention discloses an energy efficiency optimization method in a single-user MIMO distributed base station system. The energy efficiency optimization method comprises the following steps: firstly, constructing an energy efficiency optimization problem model under a given remote access point set, and transforming the problem model into three sub-problems, namely a rate maximization problem, an energy efficiency optimization problem without rate constraint and a power minimization problem under the rate constraint, for solution, thereby obtaining the optimal solution of a transmission covariance and the maximal energy efficiency; and then orderly bringing access points into an activated access point set in an order from small to large distances between a user and the access points, obtaining the maximal energy efficiency based on the energy rate optimization problem model and determining an access point set finally selected to transmit information to the user. The energy efficiency optimization method in the single-user MIMO distributed base station system is capable of solving the problem of base station transmission pre-coding design in the single-user MIMO distributed base station system and the problem of how to select appropriate distributed access points to maximize the energy efficiency of the system; besides, the energy efficiency optimization method is capable of quickly converging the optimal solution.

Description

technical field [0001] The invention belongs to the technical field of networks in mobile communication systems, and in particular relates to an energy efficiency optimization problem in mobile communication networks. Background technique [0002] As one of the most important performance indicators in mobile communication network design, spectral efficiency has been widely studied in the past few decades, and MIMO distributed antenna system can greatly improve the spectral efficiency of the system. However, due to energy shortage and greenhouse effect, energy efficiency has become a new research hotspot in mobile communication networks. However, the energy efficiency optimization problem in the MIMO distributed antenna is a non-convex problem, and it is difficult to obtain its optimal solution in the existing technology. Contents of the invention [0003] Purpose of the invention: The purpose of the present invention is to provide a method for optimizing energy efficiency...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02H04W48/20H04W52/26H04W52/30H04W88/08
CPCH04W24/02H04W48/20H04W52/267H04W52/30H04W88/085
Inventor 刘楠任红
Owner SOUTHEAST UNIV
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