CN104796975A - Downlink adaptive power regulation method based on dense deployment scenarios - Google Patents

Downlink adaptive power regulation method based on dense deployment scenarios Download PDF

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Publication number
CN104796975A
CN104796975A CN201510178316.4A CN201510178316A CN104796975A CN 104796975 A CN104796975 A CN 104796975A CN 201510178316 A CN201510178316 A CN 201510178316A CN 104796975 A CN104796975 A CN 104796975A
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power
small cell
base station
adapting
bunch
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CN104796975B (en
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成蕾
高月红
蔡凤恩
陈国�
张欣
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Beijing University of Posts and Telecommunications
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Beijing University of Posts and Telecommunications
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/06TPC algorithms
    • H04W52/14Separate analysis of uplink or downlink
    • H04W52/143Downlink power control

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a downlink adaptive power regulation method based on dense deployment scenarios. The method includes how to dynamically measure downlink service demand strength of a target base station and how to adaptively regulate power in a cluster. Therefore, system efficacy is improved. A flow chart of the downlink adaptive power regulation method is shown in an attached figure 2.

Description

A kind of descending self-adapting power regulating method in dense deployment scene
Technical field
The present invention relates to wireless mobile telecommunication technology field, a kind of adaptive power control method particularly in downlink power control.
Background technology
Along with popularizing of LTE technology, wireless data traffic realizes blowout formula and increases.The concept of the heterogeneous network proposed in TR36.932, by the basis that covers at conventional macro base station, the small base stations such as Small cell are disposed in superposition, effectively can realize the service distributing of hot spot region.Small cell is easy to dispose, and the advantage of flexible management and control is believed to fully to adapt to the demand of high power capacity that the 5G epoch propose networking equipment, spectral efficient, low energy consumption.But under future intensive scene, even if the energy consumption of Small cell unit base station is lower, when hundreds of little base station deployment is in same sector, its total energy consumption also will should not be underestimated.Meanwhile, the strong problem of inter-cell interference caused thus also will be on the rise.
For the demand, we improve on the basis of little base station dynamic switch strategy.Super-intensive write housing-group scene under, business demand has obvious tidal regime, and has the feature of indoor distribution centralization.For this reason, we, by original further refinement of Small cell dynamic switch strategy, propose a kind of descending self-adapting power adjustment scheme of based target load of base station demand.
For above-mentioned background, we have proposed a kind of method dynamically determining CoMP collaboration set.
Summary of the invention
(1) technical problem to be solved
The present invention is intended to solve the downlink business demand intensity how dynamically weighing target BS, and in how carrying out bunch, adaptive power regulates.Thus realize the lifting of system energy efficiency.
(2) technical scheme
Dynamic cooperative collection determination scheme: bunch according to the comprehensive assessment to target BS real time load and historic load, determine the descending self-adapting power adjustments factor.Limited energy consumption resource is tilted to base station, hot spot region, and the base station of other business demand lower regions then keeps lower energy consumption configuration.The base station continuing not have business to arrive is set to only maintain the resting state of the most basic signalling, wake-up waiting.Rule is as follows:
1. community sub-clustering, by same office building, the little base station belonging to same layer is divided into cluster, shares information and perform power adjustments in bunch;
2. the little base station of independence be between building continues to perform traditional firm power configuration;
3. when each time slot starts
1) now power adjustments higher limit is set, busy, other people's business two kinds of options are provided: guaranteed output regulates within comparatively safe scope;
2) power control factor that down load drives is set: the proportion that combining target base station current data flow and historical data traffic demand account for community total flow demand decides;
3) transmitting power of next time slot of target BS is jointly determined by said two devices;
(3) scheme works
The technical scheme that the present invention proposes weighs the downlink business demand intensity of target BS by rational design, thus in realizing bunch, adaptive power regulates, and system energy utilance is promoted, improves systematic function.
Accompanying drawing explanation
Provide this Figure of description and brief below.
Fig. 1 is application scenarios of the present invention
Fig. 2 is the flow chart of descending self-adapting power adjustment scheme.

Claims (5)

1. a kind of descending self-adapting power regulating method in dense deployment scene, the method is intended to solve the downlink business demand intensity how dynamically weighing target BS, and in how carrying out bunch, adaptive power regulates, and concrete steps are as follows:
Step 1: community sub-clustering, after scene is determined, read the location coordinate information of each Small cell, the Small cell being positioned at same office building and same floor is labeled as same cluster, in bunch, Small cell shares information and collaborative execution power adjustment scheme, meanwhile, the Small cell being positioned at housing-group periphery is labeled as free Small cell, do not participate in adaptive power adjustment process, transmit with firm power all the time;
Step 2: power adjustments higher limit (α P is set max), arrange the unit Small cell upper limit of emission power of system busy and idle time, guaranteed output regulates within comparatively safe scope;
Step 3: power adjustments factor-beta is set, when each time slot starts, the power control factor that the proportion that combining target base station current data flow and historical data traffic demand account for community total flow demand drives to arrange down load, concrete formula is:
Wherein β ibe i-th Small cell down load driving power controlling elements, T i_reqbe number of users and the current business load of i-th Small cell service, T avg_reqfor bunch in each Small cell average user quantity of serving, T i_hisfor target Small cell number of service subscribers, T avg_hisfor each Small cell average service number of users, ε is the factor regulating historic load and present load to affect proportion.
Step 4: the transmitting power jointly being determined next time slot of target BS by said two devices:
Wherein be i-th Small cell through-put power, be i-th Small cell current transmission power, P maxbe i-th Small cell maximum transmission power, α is the constraint factor in adaptive power regulation scheme;
According to current time, step 5: at the end of time slot, determines whether power adjustments pattern changes, repeat step 3.
2. a kind of descending self-adapting power regulating method as described in claim 1, it is characterized in that the advantage giving full play to the flexible management and control of Small cell, cluster dividing in housing-group, bunch in realize sharing of information interaction and power resource, superior resources are tilted to hot spot region dynamically, the flexibility of elevator system Resourse Distribute.
3. a kind of descending self-adapting power regulating method as described in claim 1, is characterized in that by arranging power adjustments higher limit, can switch the concrete scheme of power adjustments under several different mode.Such as, when adopting this descending self-adapting power regulating method in the intensive housing-group that writes, adopt busy pattern working day, namely system is by promoting the transmission power upper limit of each little base station, provides more multiple resource to meet traffic demand; Adopt idle pattern festivals or holidays, system will suitably reduce the transmission power upper limit of each little base station, the overall energy consumption of housing-group is controlled, in lower level, to reach resource-effective object.
4. a kind of descending self-adapting power regulating method as described in claim 1, it is characterized in that the power distribution method providing the driving of a kind of business demand, in the history of individual node and real-time traffic demand being accounted for bunch, the proportion of base station aggregate demand considers, thus determines the factor that subsequent time adaptive power regulates.
5. a kind of descending self-adapting power regulating method as described in claim 1, is characterized in that the Small cell transmitting power by multiple parameter Collaborative Control can fully demonstrate the adaptivity of the program.
CN201510178316.4A 2015-04-15 2015-04-15 One of dense deployment scene descending self-adapting power regulation mode Active CN104796975B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105960005A (en) * 2015-11-25 2016-09-21 北京邮电大学 Power control method for ensuring user fairness in ultra-dense network

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102905356A (en) * 2011-07-28 2013-01-30 上海贝尔股份有限公司 Heterogeneous mobile communication network power control method
US20130109390A1 (en) * 2011-10-28 2013-05-02 Qualcomm Incorporated Method and apparatus for calibrating power in femtocell networks
CN103477687A (en) * 2011-04-21 2013-12-25 高通股份有限公司 Method and apparatus for calibrating transmit power of a femto node
CN103596253A (en) * 2013-12-04 2014-02-19 中国联合网络通信集团有限公司 Method and device for regulating working conditions of micro base stations
CN103856996A (en) * 2014-02-12 2014-06-11 南京邮电大学 Power control-access control combined method
CN104168653A (en) * 2014-05-26 2014-11-26 南京邮电大学 Interference management-based combined resource allocation for macro base station and family base station
WO2015050735A1 (en) * 2013-10-02 2015-04-09 Public Wireless, Inc. Systems and methods for deployment operations for small cells in self-organizing networks

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103477687A (en) * 2011-04-21 2013-12-25 高通股份有限公司 Method and apparatus for calibrating transmit power of a femto node
CN102905356A (en) * 2011-07-28 2013-01-30 上海贝尔股份有限公司 Heterogeneous mobile communication network power control method
US20130109390A1 (en) * 2011-10-28 2013-05-02 Qualcomm Incorporated Method and apparatus for calibrating power in femtocell networks
WO2015050735A1 (en) * 2013-10-02 2015-04-09 Public Wireless, Inc. Systems and methods for deployment operations for small cells in self-organizing networks
CN103596253A (en) * 2013-12-04 2014-02-19 中国联合网络通信集团有限公司 Method and device for regulating working conditions of micro base stations
CN103856996A (en) * 2014-02-12 2014-06-11 南京邮电大学 Power control-access control combined method
CN104168653A (en) * 2014-05-26 2014-11-26 南京邮电大学 Interference management-based combined resource allocation for macro base station and family base station

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
XIAOYONG WANG ET AL: "A norvel power allocation algorithm under under CoMP with CA", 《PROC. BROADBAND NETWORK&MULTIMEDIA TECHNOLOGY》 *
成蕾等: "Small Cell Enhancement发展需求及现状", 《现代电信科技》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105960005A (en) * 2015-11-25 2016-09-21 北京邮电大学 Power control method for ensuring user fairness in ultra-dense network
CN105960005B (en) * 2015-11-25 2019-05-03 北京邮电大学 The Poewr control method of user fairness is ensured in super-intensive network

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