CN103957565B - Resource allocation methods based on target SINR in distributed wireless networks - Google Patents

Resource allocation methods based on target SINR in distributed wireless networks Download PDF

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CN103957565B
CN103957565B CN201410175125.8A CN201410175125A CN103957565B CN 103957565 B CN103957565 B CN 103957565B CN 201410175125 A CN201410175125 A CN 201410175125A CN 103957565 B CN103957565 B CN 103957565B
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power
transmission
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CN103957565A (en
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任品毅
唐晓
王熠晨
杜清河
孙黎
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CERTUSNET Corp.
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Xian Jiaotong University
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    • 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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Abstract

A kind of resource allocation methods in wireless distributed network.The first step, user define own target Signal to Interference plus Noise Ratio according to the communication requirement of itself.Then the jamming power in wireless environment is detected and estimated, while obtain corresponding channel gain.By this tittle, we are quantified the quality of channel.Second step, according to channel quality quantized result, the best channel of channel condition is selected, its channel quality and predefined threshold value are compared, see channel condition if appropriate for transmission.If channel condition is too poor, this data transfer is abandoned;Otherwise optimal transmission power is calculated according to the closed solutions of optimal power, in the transmission of the enterprising row data of channel.The implementation complexity of the present invention can efficiently control the interference in network than relatively low, under conditions of user's average emitted power is reduced, more effectively ensure the QoS demand of user, while reach more preferable fairness.

Description

Resource allocation methods based on target SINR in distributed wireless networks
Technical field
The invention belongs to wireless communication field, and in particular to the resource allocation based on target SINR in distributed wireless networks Method.
Background technology
The fast development of wireless technology causes distributed wireless networks to turn into a kind of common networking mode.In distributed nothing In gauze network, resource allocation mechanism can significantly affect the performance of network.Due to lacking the control and guiding of Centroid, it is difficult to Global information is obtained, global optimization is often difficult to realize.On the other hand, obtained in a network because each user is only concerned oneself Performance, therefore, user often tends to blindly to increase the transmission power of itself to obtain higher handling capacity and shorter Time delay, preferably to ensure the service quality of itself.Obviously, if all users blindly increase the feelings of its own transmission power Under condition, the interference of network can significantly increase, and ultimately resulting in the performance of whole network becomes to receive.Therefore, by efficient Resource allocation mechanism guiding user selects channel and control transmission power, can effectively suppress co-channel interference (Co-Channel Interference), QoS (Quality of Service) demand of user is ensured, lifts network performance.
Common resource allocation methods are designed based on optimum theory more.These methods generally have higher complexity Degree.And these algorithms are performed in distributed wireless networks there is extra difficulty:The execution of these methods is typically necessary Running status situations such as (transmission power, busy channel) information of other users in network is obtained, and in distributed network, by In the assistance for lacking Centroid, these information are accurately obtained, are highly difficult.In practice, in order to perform these algorithms, need Extra interaction mechanism is designed, on the basis of the accurately and reliably network information, could further perform resource allocation algorithm.
In summary, for distributed wireless networks, design is a kind of to be easy to resource allocation side that deployment is realized, efficient Method, it is necessary.
The content of the invention
, should it is an object of the invention to provide the resource allocation methods based on target SINR in a kind of distributed wireless networks Distribution method is simple efficiently, is easily achieved.
In order to achieve the above object, the technical solution adopted by the present invention includes, and comprises the following steps:
The first step, the systematic parameter of current radio frames is initialized, the method for initialization is:Each user's definition is certainly The target Signal to Interference plus Noise Ratio (SINR) of bodyUser deviates the weight coefficient θ that target SINR corresponds to costn, user's deviation target SINR And pay the weight coefficient λ of total cost of power;It is zero to initialize the power of each user on each channel simultaneously;AndThe set of user couple is represented, n represents nth user couple, a total of N number of user couple;
Second step, energy measuring is carried out to current wireless network environment, obtains the channel of user in active wireless network The jamming power being subject to of gain and user on each channel;
3rd step, channel quality is quantified according to the channel gain of user and jamming power, then user according to The best channel of quantized result selection channel condition is as transmission channel k*
4th step, by index corresponding to transmission channelWith predefined threshold valueIt is compared, ifThen The transmission of this data is abandoned, terminates current resource allocation, return to step 1) start the user resources distribution of next radio frames;
IfThen the best channel k of channel condition is determined using the systematic parameter after initialization*On transmitting work( Rate
If transmission channel k*On transmission powerMore than or equal to the maximum transmission power of userThen believe in transmission Road k*On with the maximum transmission power of userIt is transmitted, completes the resource allocation of user, return to step 1) start next nothing The user resources distribution of line frame;If transmission channel k*On transmission powerLess than the maximum transmission power of userThen exist Transmission channel k*On with transmission channel k*On transmission powerIt is transmitted, completes the resource allocation of user, return to step 1) Start the user resources distribution of next radio frames.
In the first step, according to the current transmission power of userObtain the Signal to Interference plus Noise Ratio that user actually reachesIt will use The Signal to Interference plus Noise Ratio that family actually reachesWith target Signal to Interference plus Noise RatioIt is compared, if the Signal to Interference plus Noise Ratio that user actually reachesGreatly In equal to target Signal to Interference plus Noise RatioThen keep the current transmission power of userIt is transmitted, completes resource allocation, then return Return the user resources distribution that step 1) starts next frame;If the Signal to Interference plus Noise Ratio that user actually reachesLess than target Signal to Interference plus Noise RatioThen it is transferred to second step;Wherein, k is kth bar channel, and For the set of channel, altogether comprising K bars Channel.
In the 3rd described step, the jamming power pair that is subject on each channel according to the channel gain of user and user The method that each channel quality is quantified is:
Wherein,For index corresponding to channel,It is that user is detected from the jamming power on channel k, N0For nothing Noise power in line network system,Channel gain for nth user to the receiving end from starting to corresponding to;
User selects the best channel k of channel condition according to quantized result*Method be:Select index corresponding to channelMinimum channel is as transmission channel k*
Described predefined threshold valueObtain with the following method:
Determine the best channel k of channel condition*On the method for transmission power be
Compared with prior art, the beneficial effects of the present invention are:
The present invention is modeled using the method for Noncooperative game to distributed network, and each user being capable of independently root The external environment information obtained according to itself carries out resource allocation and reached without the guidance and intervention in the external world without center control Purpose, the complexity of realization is than relatively low;And it can determine whether to transmit by the judgement to actual channel condition and determine to send out Optimal transmission power is penetrated, the situation that distributed network interior joint blindly increases its own transmission power is avoided, ensure that not With under disturbed condition, network suffers from good performance.And the present invention is without the cooperation between node, it is easy to accomplish, have simultaneously Co-channel interference is controlled to effect, improves network performance and Consumer's Experience.In addition, the resource allocation in the present invention be with user from Body target Signal to Interference plus Noise Ratio is what is be oriented to, can be good at controlling the interference in network, is reducing the bar of user's average emitted power Under part, ensure the actual QoS demand of user to greatest extent.Meanwhile transmission power is selected according to actual channel condition, effectively The co-channel interference in network is controlled, higher spectrum efficiency is realized using relatively low power.
Brief description of the drawings
Fig. 1 is the execution flow of the present invention;
Fig. 2 is the curve that user in wireless network system security ownership goal SINR probability changes with number of users;
Fig. 3 is the curve that user in wireless network average emitted power changes with number of users;
Fig. 4 is the curve that user in wireless network justice sex index changes with number of users;
Fig. 5 is the curve that throughput of system changes with number of users in wireless network;
In Fig. 2-5, a is the present invention program, and b is the scheme of target SINR trackings, and c is chance power control scheme, and d is base In the Resource Allocation Formula of power price.
Embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
Referring to Fig. 1, the present invention is modeled based on Noncooperative game, establishes a kind of resource of wireless distributed network Distribution method, under this methodology all users be intended to carry out the present invention resource allocation, until the resource allocation of all users Reach stable state.
The resource allocation methods based on target SINR are applicable wireless in the distributed wireless networks of the proposition of the present invention The basic network suppositive scenario of network is as follows:
In wireless environments, there is N number of user couple,It is its numbering,Represent the collection of user couple Close;Similarly, there is the non-overlapping channel of K bars, numbering is For the set of channel, Mei Gexin The a width of B of band in road0Represent nth user to the transmission power on kth bar channel, it is clear that ifNon-zero, then its say Bright its uses kth bar channel, and otherwise without using the channel, each user has the maximum transmission power of oneselfTogether When, channel gainChannel gain of the nth user to the receiving end from starting to corresponding to is described, the value can be user's couple Obtained in communication process by way of measurement pilot signals power.Similarly,The emitter of m-th of user couple is described, To the channel gain of the interference signal of the receiver of nth user couple.Noise power in Radio Network System is denoted as N0.Wirelessly Each user in network is to according to the communication requirement of oneself, setting a target Signal to Interference plus Noise Ratio, under the conditions of the Signal to Interference plus Noise Ratio, It can be than meeting the communication requirement of itself well, and the target Signal to Interference plus Noise Ratio is denoted asThe actual Signal to Interference plus Noise Ratio note obtained of user MakeMeanwhile the power that user pays is defined as user pair with the Signal to Interference plus Noise Ratio and the weighted sum of the squared difference of target reached The weight coefficient of the cost gone out, is designated as θn, on the other hand, the weighted sum of speed and cost is defined as the weight system of user utility Number, is denoted as λ.
The basic ideas of the present invention are to carry out the distribution of resource in each radio frames as follows, are distributed with repeatedly The form in generation is carried out, until convergence.Each time in resource allocation, a user using a channel at most only being passed every time It is defeated.Assuming that current radio-frame time carries out resource allocation when being t.Each user independently performs following steps:
The first step, the systematic parameter of current radio frames is initialized, user determines certainly according to the communication requirement of oneself Oneself target Signal to Interference plus Noise Ratio and weight coefficient is determined according to the target of itself, energy inspection further is done to current wireless environment Survey, obtain jamming power and channel gain in current radio environment.Second step, according to the communication target of itself and the letter obtained Road condition selection channel and determination transmission power.
The first step, the systematic parameter of current radio frames is initialized:
Each user defines the target Signal to Interference plus Noise Ratio of itselfUser deviates the weight coefficient θ that target SINR corresponds to costn And user deviates target SINR and pays the weight coefficient λ of total cost of power, determines therefrom that the utility function of itselfIt is defined asWherein,It is the speed that user reaches,It is user's reality The Signal to Interference plus Noise Ratio reached.In fact, according to utility function, following optimization aim is established
Above-mentioned optimization problem is the combined optimization problem of Channel assignment and power distribution.But for operability, by it Do order to realize, i.e., Channel assignment is first carried out, it is then determined that power.It can prove, in the definition condition of the utility function provided Under, it is equally optimal so sequentially to operate obtained result.
One group of constant is calculated accordingly, is respectivelyAnd c3= 8θnλ0, to facilitate follow-up calculate to use, while the power on each channel of initialising subscriber is zero.
If the transmission power on present channel has met target Signal to Interference plus Noise Ratio requirement, present channel is stationed, and Current transmission power is kept to be transmitted, resource allocation terminates;Otherwise second step is entered.Specifically, the hair on present channel Penetrating power and having met the determination methods of target Signal to Interference plus Noise Ratio requirement is:
According to the current transmission power of userObtain the Signal to Interference plus Noise Ratio that user actually reachesUser is actually reached Signal to Interference plus Noise RatioWith target Signal to Interference plus Noise RatioIt is compared, if the Signal to Interference plus Noise Ratio that user actually reachesMore than or equal to target Signal to Interference plus Noise RatioThen the transmission power on present channel has met target Signal to Interference plus Noise Ratio requirement, is then back to step 1) and opens The user resources distribution of beginning next frame;If the Signal to Interference plus Noise Ratio that user actually reachesLess than target Signal to Interference plus Noise RatioThen current letter Transmission power on road can not meet target Signal to Interference plus Noise Ratio requirement.
Second step, energy measuring is carried out to current wireless network environment, obtains the channel of user in active wireless network The jamming power that gain and user are subject on each channel;Jamming power can be obtained by carrying out energy measuring to channelAnd channel gain can be calculated by way of measurement pilot signals receiving power;
Wherein,It is m-th of user to the transmission power on kth bar channel;
3rd step, according to the jamming power that the channel gain of user and user are subject on each channel to each channel Quality is quantified, and then selects the best channel k of channel condition according to quality quantized result user*, specific method is as follows:
First, the amount for obtaining channel quality is calculated using jamming power of the channel gain and user of user on channel Change index, calculation formula is as follows
Wherein,For index corresponding to channel,It is that user is detected from the jamming power on channel k, N0For Noise power in Radio Network System,Channel gain for nth user to the receiving end from starting to corresponding to.
Secondly, all channels are performed with quantizing process, user selects the best channel of channel condition to make according to quantized result For transmission channel k*, that is, select corresponding index in each channelMinimum channel is as transmission channel k*, then
4th step, by transmission channel k*Corresponding indexWith predefined threshold valueIt is compared, if Then illustrate current transmission channel k*Can not meet the needs of transmission, abandon the transmission of this data, that is, it is zero to put transmission power,Terminate current resource allocation, return to step 1) start the user resources distribution of next radio frames;Wherein,It is for whether within the acceptable range to investigate channel condition.
IfThen illustrate current transmission channel k*Channel condition be acceptable, after initialization Systematic parameter determines transmission channel k*On transmission powerDetermine that formula is as follows:
Meanwhile the peak power limitation of the current radio frames of user is also investigated, if transmission channel k*On transmission power More than or equal to the maximum transmission power of userThen in transmission channel k*On with the maximum transmission power of userPassed Defeated, complete the resource allocation of user, return to step 1) start the user resources distribution of next radio frames;If transmission channel k*On Transmission powerLess than the maximum transmission power of userThen in transmission channel k*On with transmission channel k*On transmitting work( RateIt is transmitted, completes the resource allocation of user, return to step 1) start the user resources distribution of next radio frames.
In order to prove that the method that the present invention obtains is strictly feasible and effective, given by emulation proposed by the present invention The situation that Resource Allocation Formula compares with traditional method.
Curve a-d in Fig. 2 compared for the situation that ownership goal SINR is ensured under relevant programme.The solution of the present invention is compared Other traditional methods, the probability for meeting the target SINR of user can be obviously improved.Due in actual scene, target SINR Largely reflect the service quality of user, therefore, it can be stated that, the present invention program will provide the user preferably, more Reliable service quality.
Curve a-d in Fig. 3 compared for the average emitted power of user under relevant programme.With reference to Fig. 2 as can be seen that this hair Bright scheme on the premise of preferably ownership goal SINR is ensured, it is necessary to transmission power it is lower compared to other schemes.Therefore, The solution of the present invention is a kind of very efficient power control scheme.
Curve a-d in Fig. 4 compared for the fairness of user rate in relevant programme lower network.In distributed network environment In, ensure fairness help to prevent some selfish users in order to excessively pursue the maximization of intrinsic rate and to other users The situation of severe jamming is caused, so as to lift the Consumer's Experience of whole network.From the point of view of simulation result, the present invention program is compared to biography System scheme, there is provided obvious more preferable network fairness.
Curve a-d in Fig. 5 compared for the handling capacity of whole network under relevant programme.With reference to Fig. 2-4 result, the present invention Scheme, provided the user more efficiently service quality guarantee and fairness by more efficient resource allocation methods, with This simultaneously, the present invention program can reach preferable throughput of system.

Claims (3)

1. the resource allocation methods based on target SINR in distributed wireless networks, it is characterised in that comprise the following steps:
The first step, the systematic parameter of current radio frames is initialized, the method for initialization is:Each user defines itself Target Signal to Interference plus Noise Ratio (SINR)User deviates the weight coefficient θ that target SINR corresponds to costn, user deviate target SINR and Pay the weight coefficient λ of total cost of power;It is zero to initialize the power of each user on each channel simultaneously;AndThe set of user couple is represented, n represents nth user couple, a total of N number of user couple;
Second step, energy measuring is carried out to current wireless network environment, obtains the channel gain of user in active wireless network And the jamming power being subject to of user on each channel;
3rd step, channel quality is quantified according to the channel gain of user and jamming power, then user is according to quantization As a result the best channel of channel condition is selected as transmission channel k*
According to the jamming power that the channel gain of user and user are subject on each channel to each channel quality amount of progress The method of change is:
<mrow> <msubsup> <mi>&amp;beta;</mi> <mi>n</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mo>=</mo> <mfrac> <mrow> <msubsup> <mi>I</mi> <mi>n</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mo>+</mo> <msub> <mi>N</mi> <mn>0</mn> </msub> </mrow> <msubsup> <mi>g</mi> <mrow> <mi>n</mi> <mi>n</mi> </mrow> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> </mfrac> </mrow>
Wherein,For index corresponding to channel,It is that user is detected from the jamming power on channel k, N0For wireless network Noise power in network system,Channel gain for nth user to the receiving end from starting to corresponding to;
User selects the best channel k of channel condition according to quantized result*Method be:Select corresponding index in each channelMinimum channel is as transmission channel k*
4th step, by index corresponding to transmission channelWith predefined threshold valueIt is compared, ifThen abandon The transmission of this data, terminate current resource allocation, return to step 1) start the user resources distribution of next radio frames;
IfThen the best channel k of channel condition is determined using the systematic parameter after initialization*On transmission powerDetermine the best channel k of channel condition*On the method for transmission power be
The a width of B of band of each channel0;If transmission channel k*On transmission powerMore than or equal to the maximum transmission power of userThen in transmission channel k*On with the maximum transmission power of userIt is transmitted, completes the resource allocation of user, returns Step 1) starts the user resources distribution of next radio frames;If transmission channel k*On transmission powerLess than the maximum of user Transmission powerThen in transmission channel k*On with transmission channel k*On transmission powerIt is transmitted, completes the money of user Source is distributed, return to step 1) start the user resources distribution of next radio frames.
2. the resource allocation methods based on target SINR in distributed wireless networks according to claim 1, its feature exist In:In the first step, according to the current transmission power of userObtain the Signal to Interference plus Noise Ratio that user actually reachesUser is actual The Signal to Interference plus Noise Ratio reachedWith target Signal to Interference plus Noise RatioIt is compared, if the Signal to Interference plus Noise Ratio that user actually reachesIt is more than or equal to Target Signal to Interference plus Noise RatioThen keep the current transmission power of userIt is transmitted, completes resource allocation, be then back to step 1) the user resources distribution of next frame is started;If the Signal to Interference plus Noise Ratio that user actually reachesLess than target Signal to Interference plus Noise RatioThen turn Enter second step;Wherein, k is kth bar channel, and For the set of channel, altogether comprising K bar channels.
3. the resource allocation methods based on target SINR in distributed wireless networks according to claim 1, its feature exist In described predefined threshold valueObtain with the following method:The a width of B of band of each channel0
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1852043A (en) * 2006-05-19 2006-10-25 中国人民解放军理工大学 Power control method of multi-carrier-wave wireless honeycomb communication system
WO2011068586A2 (en) * 2009-12-03 2011-06-09 Intel Corporation An uplink power control scheme

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1852043A (en) * 2006-05-19 2006-10-25 中国人民解放军理工大学 Power control method of multi-carrier-wave wireless honeycomb communication system
WO2011068586A2 (en) * 2009-12-03 2011-06-09 Intel Corporation An uplink power control scheme

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于博弈论的认知无线电功率控制技术研究;孙彬;《中国优秀硕士论文全文数据库》;20120415;全文 *

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