CN107241124A - High energy efficiency self-adaptive modulation method in a kind of distributing antenna system based on power distribution - Google Patents
High energy efficiency self-adaptive modulation method in a kind of distributing antenna system based on power distribution Download PDFInfo
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- CN107241124A CN107241124A CN201710301092.0A CN201710301092A CN107241124A CN 107241124 A CN107241124 A CN 107241124A CN 201710301092 A CN201710301092 A CN 201710301092A CN 107241124 A CN107241124 A CN 107241124A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0426—Power distribution
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
- H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
- H04L27/36—Modulator circuits; Transmitter circuits
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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- Quality & Reliability (AREA)
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Abstract
The present invention discloses high energy efficiency self-adaptive modulation method in a kind of distributing antenna system based on power distribution, the energy efficiency of antenna system in a distributed manner of the invention, which is maximized, is used as optimization aim, the modulation system of the power and signal of each remote antenna of antenna system is used as optimized variable in a distributed manner, Adaptive Modulation handoff threshold is obtained using the approximate bit error rate formula of modulation system, then the general type of power distribution is given, and every kind of modulation system is searched with this, so as to find out optimal modulation system and its power distribution.Method proposed by the invention not only can effectively draw the optimum allocation of each remote antenna power and the optimal setting of signal modulation mode, and algorithm flow is simple, be calculated without complicated function.
Description
Technical field：
The invention belongs to moving communicating field, it is related to the physical layer transmission schemes design of GSM, especially relates to
And high energy efficiency self-adaptive modulation method in a kind of distributing antenna system based on power distribution.
Background technology：
With continuing to develop for mobile communication technology, the number of mobile communication equipment and the number of user rapidly increase, and move
Also exponentially type increases the energy that dynamic communication system is consumed.In face of the situation of global energy growing tension, domestic and international research aircraft
Structure has been continually seeking higher energy efficiency (EE, the Energy Efficiency) information transmission technology, " green communications "
Also the topic of people's extensive concern is turned into.Finding a kind of transmission technology that can effectively improve system energy efficiency is just turning into following nothing
The trend of line communication.
Distributing antenna system (DAS, Distributed Antenna System) is a kind of by multiple transmission antenna cloth
Put each transmission antenna in the communication system in cell diverse location, system by optical fiber, coaxial cable or Radio Link with
The central processing unit of cell is connected.Research shows that DAS solutions can improve spectrum efficiency, the cost of reduction signal transmission.
Compared to traditional centralized antenna system, DAS system has big advantage in terms of capacity, energy consumption and coverage.In phase
With under spectrum efficiency, distributing antenna system can efficiently reduce the access distance needed for mobile station, that is, expand the covering of base station
Scope, reduces the transmission power of system transmitting terminal.Though distributing antenna system improve power system capacity, reduction transmission power,
Order of diversity is improved, or all to have showed conventional cellular systems incomparable in terms of switching times, reduction outage probability is reduced
Advantage, it is considered to be one of preferable alternative solution of conventional cellular systems.
Power distribution is always one of study hotspot of distributing antenna system.Because user is between each transmission antenna
Distance, therefore each antenna is also different to the channel condition between user.To improve energy efficiency, DAS system
Antenna, which differs, establishes a capital for sending a signal to user, can selectively allow user and several transmission antennas to be communicated, i.e.,
According to the channel situation of each antenna to user, the different transmit power of each antenna is distributed to.System can so be improved overall
Energy efficiency, reduce unnecessary power overhead.Document 1 (Xin Chen, Xiaodong Xu, Xiaofeng
Tao.Energy efficient power allocation in generalized distributed antenna
system[J].IEEE Communications Letters,2012,16(7):1022-1025.) the problem as fraction
Planning problem, an iterative algorithm has been obtained with general optimization method.Document 2 (Heejin Kim, Sang-Rim
Lee,Changick Song,Kyoung-Jae Lee,Inkyu Lee,Optimal power allocation scheme
for energy efficiency maximization in distributed antenna systems[J].IEEE
Transactions on Communications,2015,63(2):431-440.) then utilize Karush-Kuhn-Tucker
(KKT) condition has tried to achieve the closed form of power distribution problems, and gives closed solutions according to lambert's function.
In addition to power distribution can improve DAS system efficiency, Adaptive Modulation (AM, Adaptive Modulation)
It is also a kind of effectively method.Efficiency Adaptive Modulation can adaptively change letter according to the current channel information condition of system
Number modulation system, ensure target bit on the premise of, to greatest extent improve system efficiency.In current research
In, few systems that Adaptive Modulations are directly carried out using energy efficiency as optimization aim, Adaptive Modulation is when most of
In terms of time is used in raising spectrum efficiency.It is also relevant with power because efficiency is not only relevant with modulation system.If only to modulation
Mode is carried out adaptively without being carried out adaptively to power, and what difference this and frequency are imitated adaptively without.(the Xiangbin of document 3
Yu,Wenting Tan,Binbin Wu,Yang Li.Discrete-rate adaptive modulation with
variable threshold for distributed antenna system in the presence of
imperfect CSI[J].China Communications,2014,11(13):31-39.) it have studied in endless all channel letter
The transmission plan and its performance of distributing antenna system dispersion ratio Adaptive Modulation under the conditions of breath, the target of optimization is frequency spectrum effect
Rate.This patent target is the energy efficiency for optimizing DAS system, power and modulation system will be carried out simultaneously adaptive.Power point
With being power spatially adaptive, Adaptive Modulation is the adaptive of signal modulation mode.Therefore, this patent is proposed
Method is a kind of the transmit power and signal modulation mode of each remote antenna to be adaptively adjusted according to current channel information
Method.
The content of the invention：
To improve the energy efficiency of distributing antenna system, the present invention proposes a kind of spaced antenna based on power distribution
High energy efficiency self-adaptive modulation method in system, this method utilizes each spaced antenna to the channel gain and noise between user
Power ratio, obtains system with calculating and distributes to the modulation system that the power and signal of each spaced antenna is used.
The technical solution adopted in the present invention has：High energy efficiency is adaptive in a kind of distributing antenna system based on power distribution
Modulator approach is answered, is comprised the following steps：
(1) set of alternative signal modulation system is determined, under certain target bit requirement, is calculated accordingly certainly
Adapt to handoff threshold；
(2) each remote antenna in distributing antenna system is obtained to the channel gain and noise power ratio of user, and is pressed
Descending is arranged：Set up corresponding vector power to be optimized：Wherein NtFor remote antenna number；
(3) according to letter of each remote antenna to user in the handoff threshold of Adaptive Modulation in step (1) and step (2)
Road gain and noise power ratio, find out modulation system feasible in alternative signal modulation system set；
(4) for each feasible modulation system in step (3), its power allocation scheme is provided respectively, and calculate corresponding
Energy efficiency；
(5) obtained energy efficiency is calculated according to step (4), maximum of which one is selected, the power corresponding to it point
It is exactly the power allocation scheme that system is used with scheme, corresponding modulation system is exactly the modulation system that system is used.
Further, the QAM that the set of Alternative modulation mode is encoded by the different Gray code mode of N kinds in the step (1)
Modulation composition, its corresponding handoff threshold is obtained by following formula
ρn=[erfc-1(BER0/an)]2/bn
Wherein BER0It is target bit, anAnd bnIt is the parameter of n-th of modulation system, n ∈ { 1,2 ..., N }.
Further, the step of step (3) selection feasible modulation system is：CalculateWherein Pmax,iFor
The peak power that i-th antenna can be distributed, all correspondence handoff threshold values are not more thanModulation system composition can
Row modulation system set, if the collection is combined into sky, system signal Transmission.
Further, the corresponding power distribution step of n modulation system is calculated in the step (4) is：
(a) m=1, P are madem=Pmax,mIf,And m ＜ NtStep (b) is performed, step (c) is otherwise performed；
(b) m=m+1, Pm=Pmax,mIf,And m ＜ NtStep (b) is repeated, step is otherwise performed
(c)；
(c)
(d) power distribution of each antenna is P=[Pmax,1,...Pmax,m-1,Pm,0,...,0]T；
(e) power obtained according to step (d), energy efficiencyWherein MnIt is n modulation methods
The corresponding information rate of formula, PcIt is system loop power consumption.
The present invention has the advantages that：The present invention can obtain the maximization of energy efficiency, by using specific tune
Mode processed simultaneously distributes specific power to each remote antenna so that the energy efficiency of system is improved as much as possible.Method
Calculating process is simple, is calculated without complicated function.For the judgement of feasible modulation system, to efficiently avoid some unnecessary
Calculating, reduce lookup number of times.
Brief description of the drawings：
Fig. 1 is the flow chart of the embodiment of the present invention.
Fig. 2 is the illustraton of model of distributing antenna system in the embodiment of the present invention.
Fig. 3 is the spectrum efficiency figure of embodiment.
Fig. 4 is the energy efficiency figure of embodiment.
Embodiment：
In order to illustrate technical scheme and technical purpose, below in conjunction with the accompanying drawings and embodiment is to the present invention
It is described further.
What is be related in distributing antenna system of the invention based on power distribution in high energy efficiency self-adaptive modulation method is hard
Part device includes being distributed in the CPU that the remote antenna of cell diverse location is connected with each remote antenna
Receive the mobile station (MS, Mobile Station) of service in (CPU, Central Processing Unit), cell.At this
In embodiment, as shown in Figure 2, there is NtThe individual scattered remote antenna being placed in cell, is designated as RAi, i=1 ..., Nt.Often
Individual remote antenna is connected to CPU equipped with 1 antenna by specific transmission channel.There is mobile station (MS) in cell
One or multiple antennas.Define hiFor the channel fading coefficient of i-th remote antenna to mobile station, definitionFor the multiple height of mobile station
The power of this white noise.
High energy efficiency self-adaptive modulation method in a kind of distributing antenna system based on power distribution of the present invention, including with
Lower step：
Step 1 determines the set of alternative signal modulation system, calculates corresponding adaptive handoff threshold.Alternative modulation mode
The QAM modulation encoded using the different Gray code mode of N kinds.Be assumed to be in the present embodiment BPSK, 4QAM, 8QAM, 16QAM,
32QAM,64QAM}.For n modulation system, its bit error rate in Gaussian white noise channel can be approximated by:
Wherein, parameter anAnd bnIt is given in Table 1.
Table 1
| BPSK | 4QAM | 8QAM | 16QAM | 32QAM | 64QAM | |
| an | 1/2 | 1/2 | 5/12 | 3/8 | 13/40 | 7/24 |
| bn | 1 | 1/2 | 1/6 | 1/10 | 1/26 | 1/42 |
The approximate expression is made to be equal to target bit BER0, the handoff threshold of Adaptive Modulation can be according to following formula
Son is obtained：
ρn=[erfc-1(BER0/an)]2/bn
Step 2 is by obtaining every remote antenna to the channel fading coefficient and mobile station white complex gaussian noise of mobile station
Power, distributing antenna system, which is calculated, obtains every remote antenna to the channel gain and noise power ratio of mobile station, calculates public
Formula is as follows：
Wherein, hiIt is general to be together decided on by large scale decline and multipath fading, i.e. hi=giΩi。giRepresent that small yardstick declines
Fall, conventional multipath fading model has Rayleigh fading and Rician fading etc..ΩiLarge scale decline is represented, path is generally comprised
Loss and shadow fading.
The signal processing unit of distributing antenna system is by the channel gain of every remote antenna to mobile station and noise work(
Rate ratio is arranged in descending order：
Signal processing unit sets up a power allocation vector to be optimizedWherein PiAnd γiBy suitable
Sequence is corresponded.
Step 3 selects feasible modulation system from Alternative modulation mode set.Not all modulation system is suitable for
Use under current channel conditions, some inappropriate modulation systems can just be excluded in advance.Each known remote antenna
Channel gain and noise to receiving terminal compare γi, the maximum signal to noise ratio that whole system can be obtained isNow own
Remote antenna power all reaches its peak power Pmax,i.All threshold values are more thanModulation system can be arranged
Remove, because system is that impossible reach so big signal to noise ratio under current channel conditions.If the door of all modulation systems
Limit value is both greater thanThis just illustrates that, without suitable modulation system, system signal transmission is just interrupted.
Step 4 provides its power allocation scheme, and calculate correspondence respectively for each feasible modulation system in step 3
Energy efficiency.Efficiency optimization problem of DAS system when using n modulation system can be write as：
0≤P≤Pmax,i
Wherein, PcConsumed for the loop power of system, MnRepresent that current system uses the information rate of modulation system.It is logical
Lagrange's method of multipliers is crossed, can prove that optimal power allocation necessarily meets following two conditions：
P=[Pmax,1,...,Pmax,k-1,Pk,0,...,0]T
In order to obtain the power distribution for meeting two above condition, a kind of method of iterative calculation can be used, step is as follows：
(a) m=1, P are madem=Pmax,mIf,And m ＜ NtStep (b) is performed, step (c) is otherwise performed；
(b) m=m+1, Pm=Pmax,mIf,And m ＜ NtStep (b) is repeated, step is otherwise performed
(c)；
(c)
(d) power distribution of each antenna is P=[Pmax,1,...Pmax,m-1,Pm,0,...,0]T；
(e) power obtained according to step (d), energy efficiency ηEE。
Power distribution and energy efficiency under the Different Modulations that step 5 is obtained according to step 4, system is selected can dose-effect
That maximum group of rate.Modulation system corresponding to it is the modulation system that system is used, and corresponding power distribution is to be
The power distribution that system is used.
In order to illustrate the technological progress of inventive algorithm, emulated, existed to obtain the present invention by MATLAB platform simulations
Spectrum efficiency and energy efficiency under the conditions of different maximum transmit power limitations and different target bit error rate, such as Fig. 3 and Fig. 4 institutes
Show.
For ease of analysis in emulation, the maximum transmit power of each remote antenna is set to be equal to a particular value Pmax.It is attached
Distributing antenna system is given in Fig. 3 in different PmaxWith different target bit error rate BER0Under spectral efficiency values.Emulation knot
Fruit shows that method proposed by the invention can effectively be adaptively adjusted the modulation methods of signal according to the current condition of system
Formula.It can be seen that with PmaxIncrease, system can use higher order modulation system so that system spectrum efficiency increase.
Become hour in current goal bit error rate, system spectral efficiency also diminishes therewith.Because target bit is lower, to being
Performance of BER of uniting requires higher, and system can reduce bit error rate using the modulation system of lower-order.Given in accompanying drawing 4
Distributing antenna system is in different PmaxWith the energy efficiency values under different target bit error rate.Simulation result shows institute of the present invention
The method of proposition effectively can be adaptively adjusted antenna power and modulation system according to the current condition of system.It can be seen that
With PmaxIncrease, system can use higher order modulation system, can be adopted power distribution combination also more optimizes,
So that the energy efficiency increase of system.Become hour in current goal bit error rate, system energy efficiency also diminishes therewith.This is
Because target bit is lower, to system performance of BER require it is higher, system can using lower-order modulation system and
More conservative power distribution combines to reduce bit error rate.
In summary, method proposed by the present invention can effectively obtain the optimal modulation mode for making energy efficiency reach maximum
And power distribution, while the step of method is realized is simple, calculated without complicated function, only basic addition subtraction multiplication and division computing,
Efficiency of algorithm can be guaranteed.This has absolutely proved a kind of distributing antenna system based on power distribution proposed by the present invention
The validity of middle high energy efficiency self-adaptive modulation method.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, some improvement can also be made under the premise without departing from the principles of the invention, and these improvement also should be regarded as the present invention's
Protection domain.
Claims (4)
1. high energy efficiency self-adaptive modulation method in a kind of distributing antenna system based on power distribution, it is characterised in that：Including
Following steps：
(1) set of alternative signal modulation system is determined, under certain target bit requirement, calculates corresponding adaptive
Handoff threshold；
(2) each remote antenna in distributing antenna system is obtained to the channel gain and noise power ratio of user, and in descending order
Arrangement：Set up corresponding vector power to be optimized：Wherein NtFor remote antenna number；
(3) increased according to the channel of each remote antenna in the handoff threshold of Adaptive Modulation in step (1) and step (2) to user
Benefit and noise power ratio, find out modulation system feasible in alternative signal modulation system set；
(4) for each feasible modulation system in step (3), its power allocation scheme is provided respectively, and calculate corresponding energy
Amount efficiency；
(5) obtained energy efficiency is calculated according to step (4), maximum of which one, the power distribution side corresponding to it is selected
Case is exactly the power allocation scheme that system is used, and corresponding modulation system is exactly the modulation system that system is used.
2. high energy efficiency self-adaptive modulation method in the distributing antenna system according to claim 1 based on power distribution,
It is characterized in that：The QAM modulation group that the set of Alternative modulation mode is encoded by the different Gray code mode of N kinds in the step (1)
Into its corresponding handoff threshold is obtained by following formula
ρn=[erfc-1(BER0/an)]2/bn
Wherein BER0It is target bit, anAnd bnIt is the parameter of n-th of modulation system, n ∈ { 1,2 ..., N }.
3. high energy efficiency self-adaptive modulation method in the distributing antenna system according to claim 1 based on power distribution,
It is characterized in that：The step of step (3) selects feasible modulation system be：CalculateWherein Pmax,iFor i-th day
The peak power that line can be distributed, all correspondence handoff threshold values are not more thanModulation system constitute feasible modulation methods
Formula set, if the collection is combined into sky, system signal Transmission.
4. high energy efficiency self-adaptive modulation method in the distributing antenna system according to claim 1 based on power distribution,
It is characterized in that：The corresponding power distribution step of n modulation system is calculated in the step (4) is：
(a) m=1, P are madem=Pmax,mIf,And m ＜ NtStep (b) is performed, step (c) is otherwise performed；
(b) m=m+1, Pm=Pmax,mIf,And m ＜ NtStep (b) is repeated, step (c) is otherwise performed；
(c)
(d) power distribution of each antenna is P=[Pmax,1,...Pmax,m-1,Pm,0,...,0]T；
(e) power obtained according to step (d), energy efficiencyWherein MnIt is n modulation system pair
The information rate answered, PcIt is system loop power consumption.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109039498A (en) * | 2018-07-05 | 2018-12-18 | 上海电机学院 | Efficiency optimization method in the extensive DAS of multiple cell based on RAU and user distance relationship |
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| CN102098775A (en) * | 2010-11-23 | 2011-06-15 | 中国人民解放军信息工程大学 | Self-adaptive bit power allocating method and system of molecular band |
| EP3150006A1 (en) * | 2014-05-27 | 2017-04-05 | QUALCOMM Incorporated | Adaptive control of rf low power modes in a multi-rate wireless system using mcs value |
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| JP4372155B2 (en) * | 2004-02-23 | 2009-11-25 | 株式会社東芝 | MIMO receiver and MIMO receiving method |
| CN1571293A (en) * | 2004-04-27 | 2005-01-26 | 北京邮电大学 | Self-adaptive modulation mode selection and power distribution method |
| CN102098775A (en) * | 2010-11-23 | 2011-06-15 | 中国人民解放军信息工程大学 | Self-adaptive bit power allocating method and system of molecular band |
| EP3150006A1 (en) * | 2014-05-27 | 2017-04-05 | QUALCOMM Incorporated | Adaptive control of rf low power modes in a multi-rate wireless system using mcs value |
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| CN109039498A (en) * | 2018-07-05 | 2018-12-18 | 上海电机学院 | Efficiency optimization method in the extensive DAS of multiple cell based on RAU and user distance relationship |
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