CN105246147A - Power control method applied to small cellular and large-scale antenna two-layer heterogeneous network - Google Patents
Power control method applied to small cellular and large-scale antenna two-layer heterogeneous network Download PDFInfo
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- CN105246147A CN105246147A CN201510707384.5A CN201510707384A CN105246147A CN 105246147 A CN105246147 A CN 105246147A CN 201510707384 A CN201510707384 A CN 201510707384A CN 105246147 A CN105246147 A CN 105246147A
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- power distribution
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- distribution strategies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/38—TPC being performed in particular situations
- H04W52/40—TPC being performed in particular situations during macro-diversity or soft handoff
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a power control method applied to a small cellular and large-scale antenna two-layer heterogeneous network. The power control method comprises the following steps: grouping users according to a sub-carrier multiplexing condition; forming a power control game for each group of users according to an evolutionary stable strategy; calculating the energy efficiencies and the average energy efficiencies of the users in each power control game; and selecting a power distribution strategy for corresponding users according to the average energy efficiencies. By means of the power control method provided by the invention, the system capacity in the small cellular and large-scale antenna two-layer network can be effectively increased; the power consumption of a system is reduced; and simultaneously, the algorithm complexity can also be reduced from index to linearity.
Description
Technical field
The present invention relates to a kind of Poewr control method being suitable for the low complex degree high energy efficiency of cellulor and the two-layer heterogeneous network of extensive antenna, belong to power of mobile communication control technology.
Background technology
Because capacity requirement and energy ezpenditure sharply increase, following 5G mobile communication system faces a severe challenge.Effectively can solve the capacity boost of mobile communications network by cellulor technology and extensive antenna technology and reduce the problems such as energy consumption, being therefore subject to industry extensive concern.
Flourish along with wireless communication technology, how to control effectively improve power system capacity and reduce power consumption by power, be that current cellulor and extensive antenna two-tier network are urgently to be resolved hurrily.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the invention provides a kind of Poewr control method being suitable for the low complex degree high energy efficiency of cellulor and the two-layer heterogeneous network of extensive antenna, to improve the capacity of mobile communication cellulor and extensive antenna two-tier network and to reduce power consumption.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
Be suitable for a Poewr control method for the low complex degree high energy efficiency of cellulor and the two-layer heterogeneous network of extensive antenna, comprise the steps:
(1) establish total N number of subcarrier and K cellulor in cellulor and the two-layer heterogeneous network of extensive antenna, all users are divided into N number of group, and the n-th group is designated as g
n, all groups are designated as { g
1, g
2..., g
n;
(2) be that each group designs power and controls game according to evolutionary game theory, the power of the n-th group controls game and is designated as G
n, all power controls game and is designated as { G
1, G
2..., G
n;
(3) game G is controlled according to power
n, carry out power discrete to all users of the n-th group, each user has L alternative power distribution strategies, and each user's Stochastic choice power distribution strategies carries out initialization;
(4) game G is controlled according to power
nand power distribution strategies, calculate the efficiency EE of the user of multiplexing n-th subcarrier
n,k, then according to the efficiency EE of user
n,kcalculate efficiency mean value
k
nrepresent user's number of multiplexing n-th subcarrier; During k=0, EE
n, 0represent the efficiency of the user of multiplexing n-th subcarrier in macrocellular; K=1,2,3 ... time, EE
n,krepresent the efficiency of the user of multiplexing n-th subcarrier in cellulor; If there is no multiplexing n-th subcarrier of user, then EE
n,k=0;
(5) according to efficiency mean value EE
nbe that each user in the n-th group selects a power distribution strategies: for any one user, Stochastic choice power distribution strategies, if this power distribution strategies can not be imitated be greater than efficiency mean value EE
n, then Stochastic choice power distribution strategies is continued, until selected power distribution strategies can be imitated be greater than efficiency mean value EE
n, using this power distribution strategies as up-to-date power distribution strategies; If all power distribution strategies all can not be imitated be greater than efficiency mean value EE
n, then holding power allocation strategy is constant;
(6) step (4) to (5) is repeated, until the power distribution strategies often organizing user no longer changes.
Concrete, in described step (1), the method for grouping is: by macrocellular and cellulor multiplexing n-th user assign to the n-th group g
nin.
Beneficial effect: the Poewr control method being suitable for the low complex degree high energy efficiency of cellulor and the two-layer heterogeneous network of extensive antenna provided by the invention, compared with prior art, there is following advantage: 1, the present invention take efficiency as optimization aim, power system capacity can be improved to a certain extent, reduce power consumption simultaneously; 2, the present invention adopts distributed Poewr control method, each user can be made to optimize respective efficiency respectively, thus the complexity controlled by power is reduced to linear from index; 3, Poewr control method provided by the invention, when carrying out power division, each user selects to be greater than the strategy often organizing user's efficiency mean value, therefore greatly improves the fairness between user.
Accompanying drawing explanation
Fig. 1 is cellulor of the present invention and extensive antenna two-tier network application scenarios schematic diagram, and wherein extensive antenna user and cellulor are with being randomly dispersed in community per family;
Fig. 2 is that Poewr control method of the present invention executes routine flow chart.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.
Be illustrated in figure 2 a kind of Poewr control method being suitable for the low complex degree high energy efficiency of cellulor and the two-layer heterogeneous network of extensive antenna, comprise the steps:
(1) to establish in cellulor and the two-layer heterogeneous network of extensive antenna total N number of subcarrier and K cellulor, by macrocellular and cellulor multiplexing n-th user assign to the n-th group g
nin, all users are divided into N number of group, and all groups are designated as { g
1, g
2..., g
n;
(2) be that each group designs power and controls game according to evolutionary game theory, the power of the n-th group controls game and is designated as G
n, all power controls game and is designated as { G
1, G
2..., G
n;
(3) game G is controlled according to power
n, carry out power discrete to all users of the n-th group, each user has L alternative power distribution strategies, and each user's Stochastic choice power distribution strategies carries out initialization;
(4) game G is controlled according to power
nand power distribution strategies, calculate the efficiency EE of the user of multiplexing n-th subcarrier
n,k, then according to the efficiency EE of user
n,kcalculate efficiency mean value
k
nrepresent user's number of multiplexing n-th subcarrier; During k=0, EE
n, 0represent the efficiency of the user of multiplexing n-th subcarrier in macrocellular; K=1,2,3 ... time, EE
n,krepresent the efficiency of the user of multiplexing n-th subcarrier in cellulor; If there is no multiplexing n-th subcarrier of user, then EE
n,k=0;
(5) according to efficiency mean value EE
nbe that each user in the n-th group selects a power distribution strategies: for any one user, Stochastic choice power distribution strategies, if this power distribution strategies can not be imitated be greater than efficiency mean value EE
n, then Stochastic choice power distribution strategies is continued, until selected power distribution strategies can be imitated be greater than efficiency mean value EE
n, using this power distribution strategies as up-to-date power distribution strategies; If all power distribution strategies all can not be imitated be greater than efficiency mean value EE
n, then holding power allocation strategy is constant;
(6) step (4) to (5) is repeated, until the power distribution strategies often organizing user no longer changes.
Concrete, in described step (1), the method for grouping is: by macrocellular and cellulor multiplexing n-th user assign to the n-th group g
nin.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (2)
1. be suitable for a Poewr control method for the low complex degree high energy efficiency of cellulor and the two-layer heterogeneous network of extensive antenna, it is characterized in that: comprise the steps:
(1) establish total N number of subcarrier and K cellulor in cellulor and the two-layer heterogeneous network of extensive antenna, all users are divided into N number of group, and the n-th group is designated as g
n, all groups are designated as { g
1, g
2..., g
n;
(2) be that each group designs power and controls game according to evolutionary game theory, the power of the n-th group controls game and is designated as G
n, all power controls game and is designated as { G
1, G
2..., G
n;
(3) game G is controlled according to power
n, carry out power discrete to all users of the n-th group, each user has L alternative power distribution strategies, and each user's Stochastic choice power distribution strategies carries out initialization;
(4) game G is controlled according to power
nand power distribution strategies, calculate the efficiency EE of the user of multiplexing n-th subcarrier
n,k, then according to the efficiency EE of user
n,kcalculate efficiency mean value
k
nrepresent user's number of multiplexing n-th subcarrier; During k=0, EE
n, 0represent the efficiency of the user of multiplexing n-th subcarrier in macrocellular; K=1,2,3 ... time, EE
n,krepresent the efficiency of the user of multiplexing n-th subcarrier in cellulor; If there is no multiplexing n-th subcarrier of user, then EE
n,k=0;
(5) according to efficiency mean value EE
nbe that each user in the n-th group selects a power distribution strategies: for any one user, Stochastic choice power distribution strategies, if this power distribution strategies can not be imitated be greater than efficiency mean value EE
n, then Stochastic choice power distribution strategies is continued, until selected power distribution strategies can be imitated be greater than efficiency mean value EE
n, using this power distribution strategies as up-to-date power distribution strategies; If all power distribution strategies all can not be imitated be greater than efficiency mean value EE
n, then holding power allocation strategy is constant;
(6) step (4) to (5) is repeated, until the power distribution strategies often organizing user no longer changes.
2. the Poewr control method being suitable for the low complex degree high energy efficiency of cellulor and the two-layer heterogeneous network of extensive antenna according to claim 1, it is characterized in that: in described step (1), the method for grouping is: by macrocellular and cellulor multiplexing n-th user assign to the n-th group g
nin.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510707384.5A CN105246147B (en) | 2015-10-27 | 2015-10-27 | Suitable for cellulor and the Poewr control method of extensive two layers of heterogeneous network of antenna |
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|---|---|---|---|
| CN201510707384.5A CN105246147B (en) | 2015-10-27 | 2015-10-27 | Suitable for cellulor and the Poewr control method of extensive two layers of heterogeneous network of antenna |
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| CN105246147A true CN105246147A (en) | 2016-01-13 |
| CN105246147B CN105246147B (en) | 2018-07-03 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106130924A (en) * | 2016-06-06 | 2016-11-16 | 武汉理工大学 | Bandwidth based on evolutionary game theory distribution optimization method under multimedia cloud environment |
| CN109451568A (en) * | 2018-10-12 | 2019-03-08 | 中通服咨询设计研究院有限公司 | A kind of Poewr control method of the heterogeneous network with partial connectivity |
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| CN103260192A (en) * | 2013-06-04 | 2013-08-21 | 北京邮电大学 | Home base station and macro base station heterogeneous double-layer network power distribution method based on double utilities |
| CN103369542A (en) * | 2013-07-04 | 2013-10-23 | 河海大学 | Game theory-based common-frequency heterogeneous network power distribution method |
| CN104038945A (en) * | 2014-07-01 | 2014-09-10 | 重庆邮电大学 | Heterogeneous cellular network energy efficiency optimization method based on independent sets |
| CN104105193A (en) * | 2014-07-01 | 2014-10-15 | 西安交通大学 | Power distribution method in heterogeneous network based on Starckelberg game |
-
2015
- 2015-10-27 CN CN201510707384.5A patent/CN105246147B/en active Active
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| CN103260192A (en) * | 2013-06-04 | 2013-08-21 | 北京邮电大学 | Home base station and macro base station heterogeneous double-layer network power distribution method based on double utilities |
| CN103369542A (en) * | 2013-07-04 | 2013-10-23 | 河海大学 | Game theory-based common-frequency heterogeneous network power distribution method |
| CN104038945A (en) * | 2014-07-01 | 2014-09-10 | 重庆邮电大学 | Heterogeneous cellular network energy efficiency optimization method based on independent sets |
| CN104105193A (en) * | 2014-07-01 | 2014-10-15 | 西安交通大学 | Power distribution method in heterogeneous network based on Starckelberg game |
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| Title |
|---|
| NINGNING LU,ETC: "Energy Efficident Power control for the Two-tier Networks with Small Cells and Massive MIMO", 《WORKSHOP ON GREEN AND SUSTAINABLE 5G WIRELESS NETWORK》 * |
| YUANSHUANG WANG,ETC: "Low-Complexity Stackelberg Game Approach for Energy-Efficient Resource Allocation in Heterogeneous Networks", 《IEEE COMMUNICATIONS LETTERS》 * |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106130924A (en) * | 2016-06-06 | 2016-11-16 | 武汉理工大学 | Bandwidth based on evolutionary game theory distribution optimization method under multimedia cloud environment |
| CN109451568A (en) * | 2018-10-12 | 2019-03-08 | 中通服咨询设计研究院有限公司 | A kind of Poewr control method of the heterogeneous network with partial connectivity |
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Effective date of registration: 20210326 Address after: 201306 building C, No. 888, Huanhu West 2nd Road, Lingang New Area, Pudong New Area, Shanghai Patentee after: Shanghai Hanxin Industrial Development Partnership (L.P.) Address before: 211189 No. 2 Southeast University Road, Jiangning District, Nanjing, Jiangsu Patentee before: SOUTHEAST University |
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Effective date of registration: 20230914 Address after: 201615 room 301-6, building 6, no.1158, Jiuting Central Road, Jiuting Town, Songjiang District, Shanghai Patentee after: White box (Shanghai) Microelectronics Technology Co.,Ltd. Address before: 201306 building C, No. 888, Huanhu West 2nd Road, Lingang New Area, Pudong New Area, Shanghai Patentee before: Shanghai Hanxin Industrial Development Partnership (L.P.) |