Resource allocation method in distributed-type multiple input multiple output (MIMO) orthogonal frequency division multiplexing system

A multiple-input, multiple-output, orthogonal frequency division technology, applied in multi-frequency code systems, preventing/detecting errors through diversity reception, electrical components, etc., can solve problems such as low capacity and performance, optimize work efficiency, and reduce calculations Complexity and feedback amount, and the effect of improving time utilization

Inactive Publication Date: 2011-01-05
THE PLA INFORMATION ENG UNIV
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AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a resource allocation method in a distributed multiple-inpu

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  • Resource allocation method in distributed-type multiple input multiple output (MIMO) orthogonal frequency division multiplexing system
  • Resource allocation method in distributed-type multiple input multiple output (MIMO) orthogonal frequency division multiplexing system
  • Resource allocation method in distributed-type multiple input multiple output (MIMO) orthogonal frequency division multiplexing system

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0031] The antenna and subcarrier allocation method based on the Nash bargaining solution involved in the present invention can jointly allocate antenna and subcarrier resources in a multi-user distributed MIMO-OFDM system, and can achieve an effective compromise between user fairness and system capacity performance .

[0032] The main idea of ​​the present invention is: the present invention is an antenna and subcarrier allocation (MNBSASA, Multi-user Nash Bargaining Solution-based Antenna & Sub-carrier Allocation) method based on Nash Bargaining Solution, which is realized by the following technical solutions: first, according to the calculation complexity Tolerance sets the number of static ports for user communication (to ensure that the advantages of multi-port can be played, and part of the complexity can be reduced), and select a number ...

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Abstract

The invention relates to a resource allocation method in a distributed-type multiple input multiple output (MIMO) orthogonal frequency division multiplexing system, comprising the following steps of: selecting communication ports by users in a cell; feeding the minimum speed requirement back to each port by each user according to the maximum speed provided by corresponding selected communication port; respectively calculating the maximum speed provided by all antennae in the port by all users subordinated by the port which is selected as the communication port, and feeding the user information back to the corresponding ports according to the selected antenna with largest speed; selecting one user with largest speed from all users corresponding to each antenna in the port as a service object to allocate antenna and subcarrier, updating the speed obtained by the user, judging whether the speed required by the user is larger than or equal to the minimum speed requirement, if so, deleting the user from a user set in the port, updating the user set, and finishing the resource allocation; and if resources remains surplus after the minimum speed requirements of all the users are all met, finishing the allocation of surplus resources according to the Nash bargaining solution.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a resource allocation method in a distributed multiple-input multiple-output orthogonal frequency division multiplexing system. Background technique [0002] Fairness among users is an important factor to be considered in radio resource allocation. The principle adopted by traditional wireless networks is generally to meet the minimum rate requirements of each user first, and then allocate all remaining resources to users with good channel conditions to ensure the overall resource utilization of the system. However, doing so would create extreme "unfairness" among users. The most direct way to solve this unfair problem is to allow each user to receive the same service, that is, to ensure "absolute" fairness. Obviously, this absolute fairness will cause a decrease in the utilization rate of system resources. Therefore, a reasonable compromise needs to be made between fairne...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04L27/26H04L1/06
Inventor 王大鸣郑娜娥崔维嘉任修坤仵国锋
Owner THE PLA INFORMATION ENG UNIV
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