Multi-cell BDMA (beam division multiple access) transmission power allocation method

An allocation method and technology for transmitting power, applied in the field of communication, can solve the problem of high implementation complexity, and achieve the effects of reducing interference between users, reducing complexity, and improving power utilization and transmission reliability.

Active Publication Date: 2016-09-07
SOUTHEAST UNIV
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AI Technical Summary

Benefits of technology

In this patented technology, we use beam domains in Long Term Channel Information Power Allocation: By collectively analyzing multiple data streams from different sources like Time Division Duplex System or Frequency Dualision Systems, it becomes possible to determine which parts are needed at any given moment during communication while reducing interference with other devices' receptions. Additionally, there has been an improvement over previous methods that used analog signal processing techniques such as Fast Fourier Transform algorithms due to their improved accuracy compared to digital ones. Overall, these technical improvements lead to better efficiency and reliable wireless communications systems.

Problems solved by technology

This patented describes an approach called beam division multiplexing that allows two separate signals from one device to share communication resources while reducing interference with other devices within range. By dividing up signal strength into smaller parts like individual ones, fewer connections are needed than if all were connected together. Additionally, this technique helps increase spectrum efficiency and reduces energy consumption compared to traditional methods where only certain types of signals could use more efficiently due to their directional properties. Overall, these techniques help make wireless networks faster and better.

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0045] The multi-cell BDMA transmission power distribution method of the present invention comprises the following steps:

[0046] (1) Multi-cell BDMA transmission

[0047] figure 1It is a schematic diagram of multi-cell large-scale beam coverage. The scene shown in the diagram consists of 3 adjacent cells, or 7 adjacent cells, which is determined by the need to consider the degree of interference of adjacent cells. There is a base station in the center of each cell, and a large-scale antenna array is configured on the side of the base station. When the antenna topology of each base station is the same, a unified unitary matrix transformation can be used to transform the spatial domain signal into the beam domain. For example, when the antenna array is a one-dimensional uniform linear array (Uniform Linear Array, ULA), the beam domain transfo...

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Abstract

The invention discloses a multi-cell BDMA (beam division multiple access) transmission power allocation method. Based on a CCCP (concave-convex process) power allocation method, the derivative of a minuend term in a rate expression relative to transmitting power is calculated; a convex optimization problem is solved through iteration, so that a power allocation result can be obtained. Based on a deterministic equivalent power allocation method, the deterministic equivalent expression of the derivative of the minuend term in the rate expression relative to the transmitting power is calculated through using a beam domain feature pattern energy coupling matrix; and a fractional equation is solved, so that a power allocation result can be obtained. An inter-user power allocation method under user beam equipower constraint includes the following two steps that: non-overlapping beam sets are allocated for users; and inter-user transmitting power allocation is carried out under a condition that the transmission beams of the users are determined. With the power allocation algorithm of the invention adopted, the problem of high complexity of a power allocation scheme in a large-scale communication system can be solved, power efficiency and spectrum efficiency can be improved, and computational complexity is low. The power allocation algorithm can approximate optimal power allocation performance.

Description

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Claims

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Application Information

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Owner SOUTHEAST UNIV
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