Stable hierarchal game learning resource distribution method of hierarchal heterogeneous network under uncertain channel conditions

A channel state, learning algorithm technology, applied in network planning, network topology, electrical components, etc.

Inactive Publication Date: 2016-11-30
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Effectively suppress the problem of revenue decline caused by channel state uncertainty

Method used

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  • Stable hierarchal game learning resource distribution method of hierarchal heterogeneous network under uncertain channel conditions
  • Stable hierarchal game learning resource distribution method of hierarchal heterogeneous network under uncertain channel conditions
  • Stable hierarchal game learning resource distribution method of hierarchal heterogeneous network under uncertain channel conditions

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Embodiment Construction

[0071] Examples of the present invention figure 1 As shown, the network consists of a macro base station and two small cell base stations. Each base station serves multiple users in a time-division multiplexed manner. Macro base stations and small cell base stations share multiplexed network spectrum resources. For the convenience of analysis, it is assumed that each small cell base station only serves one small cell user in one time slot.

[0072] 1) Analysis and representation of the utility of the small cell in the lower layer

[0073] u i ( p i , p - i , u i , λ 0 ) = W l o g ( 1 ...

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Abstract

The invention discloses a stable hierarchal game learning resource distribution method of a hierarchal heterogeneous network under uncertain channel conditions, and belongs to the technical field of wireless communication. To solve the problems that most of existing research on disturbance control of the hierarchal heterogeneous network is based on idealized perfect channel information and user revenue reduction is caused by uncertainty of channels, a discretization strategy resource distribution scheme based on the robust two-layer Steinberg game is provided. Through robust treatment and economic constraint, upper honeycombs charge frequency spectrum sharing of lower micro honeycombs on the premise of guaranteeing QoS (quality of service) of macro honeycomb users, the effect of the upper layers is maximized, and efficiency and robustness in frequency spectrum utilization are compromised optimally. Compared with resource distribution methods based on assumed perfect channel information, the stable hierarchal game learning resource distribution method has the advantages that the whole system can acquire an excellent strategy selection result adaptively according to channel change conditions, and accordingly, the system can get stable revenue and QoS guarantee.

Description

a technical field [0001] The invention relates to a solution to the resource allocation problem of a 5G layered heterogeneous network. Aiming at the problem of interference management in heterogeneous wireless networks under the condition of imperfect channel information, the invention proposes a discrete strategy resource allocation scheme based on a robust two-layer game. It belongs to the technical field of wireless communication. Two background technology [0002] With the increasing demand for new media data applications, the capacity of 5G cellular networks will be 1,000 times higher than that of current 4G cellular networks. Dense networking technology will become one of the key technologies for next-generation communications. By deploying small-cell base stations (Small-cell Base Station, SBS) around the macro-cell base station (Macro-cell Base Station, MBS), the coverage area can be expanded, the energy efficiency can be improved, and the user transmission rate can...

Claims

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Application Information

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IPC IPC(8): H04W16/14H04W52/24H04W72/04H04W84/04
CPCH04W16/14H04W52/244H04W84/042H04W72/53
Inventor 邵鸿翔张建照赵杭生杨健曹龙
Owner NAT UNIV OF DEFENSE TECH
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