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CN105657846B - A kind of double-layer lap of minimum power is for OFDM Subcarrier Allocation Algorithm - Google Patents

A kind of double-layer lap of minimum power is for OFDM Subcarrier Allocation Algorithm Download PDF

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Publication number
CN105657846B
CN105657846B CN201610124856.9A CN201610124856A CN105657846B CN 105657846 B CN105657846 B CN 105657846B CN 201610124856 A CN201610124856 A CN 201610124856A CN 105657846 B CN105657846 B CN 105657846B
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iteration
user
subcarrier
internal layer
external
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CN105657846A (en
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孟超
田锦
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Jiangsu Puzhen Technology Co ltd
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Jinling Institute of Technology
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453Resources in frequency domain, e.g. a carrier in FDMA
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00Modulated-carrier systems
    • H04L27/26Systems using multi-frequency codes
    • H04L27/2601Multicarrier modulation systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00Arrangements affording multiple use of the transmission path
    • H04L5/0001Arrangements for dividing the transmission path
    • H04L5/0003Two-dimensional division
    • H04L5/0005Time-frequency
    • H04L5/0007Time-frequency the frequencies being orthogonal, e.g. OFDM(A) or DMT
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. Transmission Power Control [TPC] or power classes
    • H04W52/02Power saving arrangements
    • H04W52/0203Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. Transmission Power Control [TPC] or power classes
    • H04W52/04Transmission power control [TPC]
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/26TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
    • H04W52/265TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account the quality of service QoS
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/52Allocation or scheduling criteria for wireless resources based on load
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a kind of OFDM Subcarrier Allocation Algorithms to make the transmission minimum power of base station under the premise of meeting the request of user's minimum-rate.The step of algorithm includes: parameter initialization, and parameter includes the number of users of scheduling, system bandwidth, subcarrier number, subcarrier bandwidth, minimum-rate request, the interchannel noise ratio of user and the iteration ends threshold value for dispatching user;Iteration initialization, the subcarrier distribution of initialising subscriber, and calculate total power consumption;Iterative process, external iteration includes (K-1) secondary internal layer iteration each time.By (K-1) secondary internal layer iteration, the total power consumption of system after this external iteration is calculated, this external iteration terminates.Iteration convergence differentiates, if being less than iteration ends threshold value, stops iteration, this time iteration result is optimal subcarrier apportioning cost;Otherwise, repeat external iteration next time.The present invention carries out subcarrier distribution by inside and outside two layers of iteration, can make the transmission minimum power of base station.

Description

A kind of double-layer lap of minimum power is for OFDM Subcarrier Allocation Algorithm
Technical field
The invention belongs to wireless communication fields, specifically, being related to a kind of transmission minimum power that can make base station OFDM Subcarrier Allocation Algorithm.
Background technique
Quick with various intelligent terminals is popularized, and the demand growth of wireless traffic is rapid, the energy of wireless communication industry Consumption increases at an amazing speed.From the point of view of the double angle of environmental protection and economic development, energy efficiency is improved, reduces network Energy consumption, it has also become following mobile cellular network designs question of common concern.
In order to meet the needs of users, conventional cellular network is usually designed according to the peak value of cell capacity.At night Administrative Area, the residential block on daytime, most network is seldom constantly in peak state.Therefore, according to the load of cell The transmission power of the dynamic adjustment base station of variation just seems necessary.According to Shannon capacity formula, transmission rate with can distribute Bandwidth or sub-carrier number it is linear, with send power at logarithmic relationship.Therefore, in the premise for keeping QoS of customer Under, the relationship between adjustable frequency spectrum and transmission power, to achieve the purpose that power is saved.
Summary of the invention
It is calculated to solve the above problems, being distributed the present invention provides a kind of double-layer lap of minimum power for OFDM subcarrier Method, the algorithm is under conditions of meeting the request of user's minimum-rate, with lower complexity the OFDM subcarrier in system point Provisioned user can make the power consumption of base station minimum.
The technical solution of the present invention is as follows: the algorithm includes inside and outside two layers of iteration.In interior stacking generation, when two neighboring users Number of sub carrier wave it is fixed when, internal layer iteration function localbest is used to find the subcarrier of the local optimum of the two users Apportioning cost.Each user is arranged from left to right, internal layer iterative algorithm moves right a user every time, until it is mobile to the end One user.Therefore, each external iteration includes (K-1) secondary internal layer iteration.After progress (K-1) secondary internal layer iteration, outside this Layer is iterating through to be compared with last time external iteration result, judges whether to terminate iterative process.The algorithm specific steps are such as Under:
(1) parameter initialization, the parameter include the minimum of number of users K, subcarrier number L, subcarrier bandwidth W, user Rate request rk, base station to each user interchannel noise ratio Gk, iteration ends threshold value ε;
(2) iteration initialization, the subcarrier distribution of K user of random initializtion, and calculate the total power of K user and disappear Consumption;
(3) in double-layer lap generation: including inside and outside two layers of iteration, each external iteration includes (K-1) secondary internal layer iteration;
(4) the total power consumption of this external iteration system after (K-1) secondary internal layer iteration is calculated;
(5) iteration convergence differentiates: calculating power consumption of the power consumption with respect to last time external iteration of this external iteration Saving value stops iteration, the subcarrier of this external iteration is assigned as optimal if power saving value is less than decision threshold value Subcarrier distribution;Otherwise, repeat external iteration process next time.
Further, minimum-rate described in step (1) is requested, and is user under the premise of meeting QoS of customer The minimum transmission rate needed.
Further, the subcarrier distribution of K user of random initializtion described in step (2), is L subcarrier point K user of dispensing, and meet the minimum-rate request of user.
Further, K user described in step (2), needs to be ranked up K user and mark the suitable of user Sequence.
Further, in the step (3), internal layer iterative process is as follows when the t times external iteration:
For m=1:K-1
end
It enables
Further, m secondary internal layer iteration in the step (3) is guaranteeing last iteration two neighboring users m and m+1 The sum of subcarrier it is constant in the case where, the sub-carrier number of two users is redistributed, the power of the two users is made The sum of consumption minimizes, and the subcarrier of m-th of user of record is the sub-carrier number of this secondary internal layer iteration, the son of the m+1 user Carrier wave allocation result participates in next secondary internal layer iteration.
Further, (K-2) secondary internal layer iteration, the son of previous user are iterated to from the first secondary internal layer in step (3) Carrier number is the updated value after current iteration, and the sub-carrier number of the latter user participates in the operation of inner iterative next time, the (K-1) secondary iteration is updated the sub-carrier number of most latter two user.
Further, step (5) carries out this external iteration after progress (K-1) secondary internal layer iteration.
Further, the iteration convergence in step (6) differentiates, if power saving value is less than decision threshold value, stops changing Generation, external iteration number are uncertain.
Beneficial effects of the present invention: the present invention can pass through double-layer lap under conditions of meeting the request of user's minimum-rate OFDM subcarrier in system is distributed to user by generation, to keep the transmission power of base station minimum.In addition, this algorithm is with lower Complexity.
Detailed description of the invention
Fig. 1 shows total power consumptions under three kinds of different sub-carrier initialization conditions with the situation of change of the number of iterations.
Fig. 2 indicates the total power consumption in base station when the bi-level iterative algorithm proposed and poor search algorithm and average mark sub-carriers Comparison.
Specific embodiment
In order to better understand the technical content of the present invention, special to lift specific embodiment and institute's accompanying drawings is cooperated to be described as follows.This reality The major function for applying example is to provide a kind of double-layer lap of minimum power for OFDM Subcarrier Allocation Algorithm, which is meeting Under conditions of the request of user's minimum-rate, system subcarrier is allocated with lower complexity, makes the power consumption of system It is minimum.
If radius of society is 500 meters, user is uniformly distributed in cell coverage area, it is assumed that the minimum data rate of user Request is all identical, is 1kbps.Each subcarrier bandwidth is 1kHz.Assuming that noise power is -115dBm.Assuming that in each time slot Three users are scheduled.This algorithm can be applied to the situation of more multi-subcarrier and more users.The access of the present embodiment Method specifically includes the following steps:
Step 1: parameter initialization, including the interchannel noise ratio G of number of users K, sub-carrier number L, user kkAnd minimum-rate Request rk, subcarrier bandwidth W, iteration ends threshold value ε;
Step 2: iteration initialization, the subcarrier distribution of initialising subscriber calculates total power consumption P0.It enables
Step 3: internal layer iterative process when the t times external iteration
For m=1:K-1
end
It enables
Calculate total power consumption after the t times iteration
M secondary internal layer iteration is guaranteeing the constant situation of the sum of the subcarrier of last iteration two neighboring users m and m+1 Under, the sub-carrier number of two users is redistributed, the sum of power consumption of the two users is minimized, records m The subcarrier of a user is the sub-carrier number of this secondary internal layer iteration, and the sub-carrier allocation results of the m+1 user participate in next Secondary internal layer iteration.
(K-2) secondary internal layer iteration is iterated to from the first secondary internal layer, the sub-carrier number of previous user is after current iteration Updated value, the sub-carrier number of the latter user participates in the operation of inner iterative next time, and (K-1) secondary iteration is to last two The sub-carrier number of a user is updated.
Step 4: iteration convergence differentiates.If Pt-Pt-1< ε stops iteration, exports optimal sub-carrier allocation resultsOtherwise, t=t+1 is enabled, next iteration process is repeated.If power saving value is less than Decision threshold value stops iteration, and external iteration number is uncertain.
Fig. 1 shows total power consumptions under three kinds of different sub-carrier initialization conditions with the situation of change of the number of iterations.Three kinds Subcarrier initialization is respectively (6,6,6), (1,2,15) and (15,1,2), and the distance of three users to base stations of scheduling is respectively 300 meters, 400 meters and 500 meters, total number of sub carrier wave is 18, the subcarrier being optimal under three sub-carriers initialization scene The external iteration number that distribution needs is respectively 3,3,4.Fig. 2 indicates that the distance of three users to base stations of scheduling is respectively 100 When rice, 150 meters and 500 meters, the total power consumption of system under the bi-level iterative algorithm of proposition, poor search algorithm, mean allocation algorithm The case where changing with number of sub carrier wave, it can be seen that the bi-level iterative algorithm of proposition reaches the performance of poor search algorithm, and better than flat Respectively sub-carriers algorithm.
In the present embodiment, beneficial effect major embodiment of the double-layer lap of minimum power for OFDM Subcarrier Allocation Algorithm Two aspects: first, algorithm proposed by the present invention only needs the inside and outside level iteration of fewer number, and computation complexity is lower;The Two, the algorithm proposed using the invention can make the transmission power of base station minimum, reach the performance of poor search algorithm, and than flat Respectively the performance of sub-carriers algorithm will be got well.
Although the present invention has been disclosed as a preferred embodiment, however, it is not to limit the invention.Skill belonging to the present invention Has usually intellectual in art field, without departing from the spirit and scope of the present invention, when can be used for a variety of modifications and variations.Cause This, the scope of protection of the present invention is defined by those of the claims.

Claims (7)

1. a kind of double-layer lap of minimum power is for OFDM Subcarrier Allocation Algorithm, in the premise for meeting the request of user's minimum-rate Under, base-station transmitting-power is minimized by subcarrier distribution;It is characterized in that, comprising the following steps:
(1) parameter initialization, the parameter include number of users K, subcarrier number L, subcarrier bandwidth, user minimum-rate It requests, the interchannel noise ratio of base station to each user, iteration ends threshold value
(2) iteration initialization, the subcarrier distribution of K user of random initializtion, and calculate the total power consumption of K user;
(3) in double-layer lap generation: including inside and outside two layers of iteration, each external iteration includes (K-1) secondary internal layer iteration;
TheInternal layer iterative process is as follows when secondary external iteration:
for
end
It enables
WhereinExpression is temporary the sub-carrier number of second user of the m secondary internal layer iteration of the t times external iteration It is set as the sub-carrier number of the corresponding distribution of the m+1 user of the t-1 times external iteration, to carry out the m of the t times external iteration + 1 secondary internal layer iteration;It indicates the t times obtained after K-1 secondary internal layer iteration The sub-carrier allocation results of external iteration are placed intoIn;
M secondary internal layer iteration is right in the case where guaranteeing that the sum of subcarrier of last iteration two neighboring users m and m+1 is constant The sub-carrier number of two users is redistributed, and the sum of power consumption of the two users is minimized, and records m-th of user Subcarrier be this secondary internal layer iteration sub-carrier number, the sub-carrier allocation results of the m+1 user participate in next secondary internal layer Iteration;
(4) the total power consumption of this external iteration system after (K-1) secondary internal layer iteration is calculated;
(5) iteration convergence differentiates: the power consumption for calculating this external iteration is saved with respect to the power consumption of last time external iteration Value stops iteration if power saving value is less than decision threshold value, and the subcarrier of this external iteration is assigned as optimal son and carries Wavelength-division is matched;Otherwise, repeat external iteration process next time.
2. the double-layer lap of minimum power according to claim 1 is for OFDM Subcarrier Allocation Algorithm, it is characterised in that: step Suddenly minimum-rate described in (1) is requested, and is under the premise of meeting QoS of customer, the minimum transmission rate that user needs.
3. the double-layer lap of minimum power according to claim 1 is for OFDM Subcarrier Allocation Algorithm, it is characterised in that: step Suddenly the subcarrier distribution of K user of random initializtion described in (2), is L subcarrier to be distributed to K user, and meet The minimum-rate of user is requested.
4. the double-layer lap of minimum power according to claim 1 is for OFDM Subcarrier Allocation Algorithm, it is characterised in that: step Suddenly K user described in (2), needs to be ranked up K user and mark the sequence of user.
5. the double-layer lap of minimum power according to claim 1 is for OFDM Subcarrier Allocation Algorithm, it is characterised in that: step Suddenly (K-2) secondary internal layer iteration is iterated to from the first secondary internal layer in (3), the sub-carrier number of previous user is after current iteration Updated value, the sub-carrier number of the latter user participate in the operation of inner iterative next time, (K-1) secondary iteration to most latter two The sub-carrier number of user is updated.
6. the double-layer lap of minimum power according to claim 1 is for OFDM Subcarrier Allocation Algorithm, it is characterised in that: step Suddenly (4) carry out this external iteration after progress (K-1) secondary internal layer iteration.
7. the double-layer lap of minimum power according to claim 1 is for OFDM Subcarrier Allocation Algorithm, it is characterised in that: step Suddenly the iteration convergence in (5) differentiates, if power saving value is less than decision threshold value, stops iteration, external iteration number is It is uncertain.
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CN111132292B (en) * 2020-03-26 2020-07-03 金陵科技学院 An energy consumption minimization method for sequentially transmitting multiple data packets
CN111343708B (en) * 2020-03-26 2023-05-09 金陵科技学院 A Method of Minimizing Total System Energy Consumption Considering Circuit Power Consumption

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