CN102547992B - Hybrid signaling data transmission method based on orthogonal frequency-division multi-access system - Google Patents
Hybrid signaling data transmission method based on orthogonal frequency-division multi-access system Download PDFInfo
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Abstract
The invention provides a hybrid signaling data transmission method based on an orthogonal frequency-division multi-access system. The method comprises the following steps: S1, when a signaling and data stream transmitted to each user reaches a base station, the base station isolates the signaling and data stream belonging to each user into different priority level queues corresponding to the user; S2, the base station allocates sub-channels and power according to different cache queue information of each user, Qos (quality of service) service quality requirement information and channel state information fed back by the user; and S3, the base station transmits the signaling and data stream to be transmitted to each user through an OFDM (Orthogonal Frequency Division Multiplexing) channel. According to the invention, the signaling is ensured to be transmitted preferentially and reliably, and signaling queuing time delay and packet loss rate are decreased greatly, so that transmission of system control information is guaranteed effectively; and meanwhile, good average among multi-user diversity performance, user interruption rate and singling transmission performance is struck.
Description
Technical field
The invention belongs to communication technical field, be specifically related to a kind of signaling data combining transmission method in orthogonal frequency-time multiple access (Orthogonal Frequency Division Multiple Access, OFDMA) system.
Background technology
The core technology that OFDMA technology is generally acknowledged as forth generation mobile communication system, it can obtain higher spectrum efficiency by utilizing multi-user diversity.Resourse Distribute under current most of OFDMA system mainly carries out Resourse Distribute based on the channel condition information of user.And forth generation cellular communication system will be IP-based packet network, in a packet network environment, base station end will safeguard queue for each user.Effective Resourse Distribute is obtain higher systematic function, queuing message should be taken into account.In addition, the feature of packet network is that MAC top signaling is transmitted mixing with media data.And signaling generally has higher time delay and packet loss requirement compared to data, traditional resource distribution mechanism but consider both difference transmit.
Summary of the invention
(1) technical problem that will solve
The object of the invention is propose a kind of in future mobile communications OFDMA system towards the transmission method of signaling data mixed traffic, to reach good compromise between multi-user diversity performance, user's interruption rate and signalling performance, obtain lower signaling queuing delay and packet loss, safeguards system control information is transmitted timely and effectively.
(2) technical scheme
In order to solve the problems of the technologies described above, the invention provides a kind of signaling data combining transmission method based on orthogonal frequency division multiple access system, comprising step:
S1: when sending the signaling of each user to and data flow arrives base station, base station will belong to the signaling of each user and data stream separation to the different priority query corresponding to this user;
S2: sub-channel, according to the channel condition information of the different buffer queue information of each user, Qos quality of service requirement information and user feedback, is carried out and power distributes in base station;
S3: signaling to be passed and data stream are given each user by OFDM channel by base station.
Preferably, in step sl, described data flow comprises real time business, non-real-time service and Best-Effort service; Real time business refers to the business to delay requirement harshness such as voice, video conference, will be dropped after the packet carrying this type of business exceedes certain maximum delay; Non-real-time service refers to file transfer, web page browsing etc. has certain requirement to message transmission rate, but to the undemanding business of requirement of real-time; Best-Effort service refers to Email etc. to time delay and the lower business of transmission rate request.
Preferably, in step sl, the priority of signaling, real time business, non-real-time service, Best-Effort service from high to low.
Preferably, in described step S2, in each time slot scheduling, divide the total transmitting power in base station equally to all subchannels; Then random selecting unappropriated subchannel successively, and calculate the utility function of each user on this subchannel, selected subchannel is distributed to the user having maximum utility function, and estimate that the queuing message upgrading this user distributes for next subchannel, until all subchannels are assigned or all Subscriber Queue are all cleared.
Preferably, for each user, the resource distributing to this user is utilized its queue to be emptied from high to low by queue priority.
Preferably, the utility function of each user is the achievable rate r of user's current time slots on subchannel l
u, l, the signaling effectiveness factor, the real time business effectiveness factor and the non-real-time service effectiveness factor product.
Preferably, for real time business, the utility function factor is
wherein
for user's real time business queue cache size, queue cache size to be divided into groups maximum arrival rate and establishing according to real-time service transmission delay requirement and real time business;
for the current real time business queue length of user u;
for the minimum real time business free buffer length that user u expects, setting up of this parameter gives certain surplus for ensureing that real time business delay requirement stays; If user has two and above real time business, then
the real time business little according to business need time delay is arranged.
Preferably, for non-real-time service, the utility function factor is
wherein
for the minimum-rate requirement of user's non-real-time service; R
un () to be user u current has obtained the achievable rate that can be used for transmitting non-real-time service; If user has two and above non-real-time service, then
require that high non-real-time service is arranged according to minimum-rate.
(3) beneficial effect
The present invention considers to mix packet scheduling under signaling data traffic conditions and Resourse Distribute, be that the signaling of each user and different business data separation set up queue in base station end, and devise a kind of utility function, this utility function has considered the achievable rate of user's current time slots, the queue length of buffer memory, minimum-rate requires and propagation delay time requirement.Distribute based on this utility function sub-channel, good compromise can be reached between multi-user diversity performance, user's interruption rate and signalling performance, obtain lower signaling queuing delay and packet loss, safeguards system control information is transmitted timely and effectively.
Accompanying drawing explanation
Fig. 1 is the flow chart of the inventive method;
Fig. 2 is the OFDMA system model schematic towards signaling data mixed traffic proposed according to the present invention;
Fig. 3 is the signaling average packet loss ratio comparison diagram of the inventive method and additive method;
Fig. 4 is the signaling average queuing delay comparison diagram of the inventive method and additive method;
Fig. 5 is the system average throughput comparison diagram of the inventive method and additive method;
Fig. 6 is the system average interruption rate comparison diagram of the inventive method and additive method.
Embodiment
Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples for illustration of the present invention, but do not limit the scope of the invention.
As shown in Figure 1, signaling data combining transmission method based on orthogonal frequency division multiple access system of the present invention, comprise step: S1: when sending the signaling of each user to and data flow arrives base station, base station will belong to the signaling of each user and data stream separation to the different priority query corresponding to this user; S2: sub-channel, according to the channel condition information of the different buffer queue information of each user, Qos quality of service requirement information and user feedback, is carried out and power distributes in base station; S3: signaling to be passed and data stream are given each user by OFDM channel by base station.
Described data flow comprises real time business, non-real-time service and Best-Effort service; Real time business refers to the business to delay requirement harshness such as voice, video conference, will be dropped after the packet carrying this type of business exceedes certain maximum delay; Non-real-time service refers to file transfer, web page browsing etc. has certain requirement to message transmission rate, but to the undemanding business of requirement of real-time; Best-Effort service refers to Email etc. to time delay and the lower business of transmission rate request.
In step s 2, in each time slot scheduling, divide the total transmitting power in base station equally to all subchannels; Then random selecting unappropriated subchannel successively, and calculate the utility function of each user on this subchannel, selected subchannel is distributed to the user having maximum utility function, and estimate that the queuing message upgrading this user distributes for next subchannel, until all subchannels are assigned or all Subscriber Queue are all cleared.For each user, the resource distributing to this user is utilized its queue to be emptied from high to low by queue priority.
Wherein the utility function of each user is the achievable rate r of user's current time slots on subchannel l
u, l, the signaling effectiveness factor, the real time business effectiveness factor and the non-real-time service effectiveness factor product.
For signaling, can set the utility function factor as
wherein
for subscriber signaling queue cache size, queue cache size to be divided into groups maximum arrival rate and establishing according to signalling delay requirement and signaling;
for the current signaling queue length of user u;
for the minimum signaling free buffer length that user u expects, setting up of this parameter gives certain surplus for ensureing that signaling delay requires to stay.
For real time business, can set the utility function factor as
wherein
for user's real time business queue cache size, queue cache size to be divided into groups maximum arrival rate and establishing according to real-time service transmission delay requirement and real time business;
for the current real time business queue length of user u;
for the minimum real time business free buffer length that user u expects, setting up of this parameter gives certain surplus for ensureing that real time business delay requirement stays.If user has two and above real time business, then
the real time business little according to business need time delay is arranged.
For non-real-time service, can set the utility function factor as
wherein
for the minimum-rate requirement of user's non-real-time service.R
un () to be user u current has obtained the achievable rate that can be used for transmitting non-real-time service.If user has two and above non-real-time service, then
require that high non-real-time service is arranged according to minimum-rate.
For Best-Effort service, namely Email etc. are to time delay and the lower business of transmission rate request.Because current time slots achievable rate can reflect its effectiveness, therefore do not establish the corresponding effectiveness factor.
OFDMA system model schematic towards signaling data mixed traffic of the present invention, see Fig. 2.When sending the signaling of each user, real time business, non-real-time service and Best-Effort service to and arriving base station, by in the different priorities queue that is split into corresponding to this user, wherein, the priority of signaling, real time business, non-real-time service, Best-Effort service from high to low, then base station is by the channel condition information of the different queue cache information according to each user, Qos quality of service requirement information and user feedback, carry out sub-channel and power distributes, then send signaling to be passed and data to each user by OFDM channel.
The checking of Computer Simulation is carried out below according to the situation mixing signaling and non-real-time service data traffic.
If system cell radius is 500m, has 30 users and be evenly distributed in cell area.System has 25 subchannel, and each subchannel bandwidth is 180kHz.Each user has a non-real-time service.Base-station transmission gross power is 20W, and the minimum transmission rate of user requires as 500kbits/s, bit error rate requirement BER=10
-3.The time slot scheduling cycle is 2ms.
Channel model is according to 3GPP standard.The large scale path loss of distance d place, base station user is m based on the unit that COST-WI model is L (d)=7.17+38.0lgd, d.Adopt the Rayleigh fading model in 6 footpaths, each footpath is by the flat fading model modeling of Clarke, and power-delay function is exponential damping e
-p, wherein p is multipath label.Interference noise power spectrum density is-184dB/Hz, and the noise factor of user's receiving terminal is 9dB.Arriving queued packets bag fixed size is 128Byte.The admissible maximum queuing delay of signaling is 50ms.The minimum signaling free buffer length that user expects
if every time slot arrives at most a signaling grouping, then can establish subscriber signaling cache size
The signaling of user and packet arrive all obeys Poisson distribution.
Carry mechanism contrast with subscriber signaling and data with the following two kinds of algorithms in queue situation: (1) greedy algorithm, from remaining sets of sub-channels, get a subchannel at random at every turn, and distribute in this subchannel upper signal channel situation preferably and do not reach the user of minimum-rate requirement, carry out estimation to Subscriber Queue length after distribution to upgrade, when meeting current time slots just queue for after the minimum-rate of empty all users requires, residue subchannel is then distributed to the best user of respective sub-channel upper signal channel situation.(2) the CAQA algorithm under average power allocation, subchannel is assigned with the user having maximum weighted time delay, weight be the achievable rate of user on this subchannel with user before the ratio of Mean Speed that obtains, often distribute a sub-channels, head packet delay HOL will be estimated that renewal distributes with the subchannel after being applied to simultaneously.The packet of fixed-line subscriber is 0.8 bag/time slot to rate, and change subscriber signaling bag arrival rate can obtain following simulation result.
Fig. 3 gives the signaling average packet loss ratio comparison diagram of the inventive method and additive method.Can find out that the signaling packet loss of greedy algorithm is the most serious.The CAQA algorithm considering queuing message reduces signaling packet loss, but due to signaling and the same queue of data, the packet of queuing up above will hinder the transmission of follow-up signaling bag, and signaling packet loss is also larger.Institute puies forward mechanism and creates independently queue for signaling and packet, fully ensure that the preferential transmitting of signaling, and in diagram signaling bag arrival rate region, signaling is without packet loss.
Fig. 4 gives the signaling average queuing delay comparison diagram of the inventive method and additive method.Greedy algorithm and CAQA algorithm are due to the same queue of signaling data, and the packet of queuing up above hinders the transmission of follow-up signaling bag, and signaling queuing delay is larger.And put forward mechanism and fully ensure that the fast transport of signaling, compared to other algorithms, reducible signaling queuing delay increases with the increase of signaling bag arrival rate.When signaling bag arrival rate is 0.7 bag/time slot, signaling queuing delay can be reduced more than 90% compared to greedy algorithm.
Fig. 5 gives the system average throughput comparison diagram of the inventive method and additive method.The throughput of system of CAQA algorithm is the highest, and this is that compared to considering the greedy algorithm of user's minimum-rate requirement and mechanism of putting forward, the multi-user diversity performance of loss is less due to its minimum-rate requirement not considering user.And put forward mechanism to also contemplate signaling transmission requirement compared to greedy algorithm, also will lose a part of multi-user diversity performance.As seen from Figure 5, mechanism is put forward compared to greedy algorithm by institute, and the throughput of system lost is less.
Fig. 6 gives the system average interruption rate comparison diagram of the inventive method and additive method.Here interruption refers to current time slots buffer memory not for empty user does not reach minimum-rate requirement.Can find out that CAQA mechanism is not owing to considering the minimum-rate requirement of user, interruption rate is the highest, and institute carries machine-processed owing to ensure that the preferential transmitting of signaling, and have lost a part of multi-user diversity performance, comparatively greedy algorithm outline is high for interruption rate.
Comprehensive above simulation result, can find out that institute's extracting method is in multi-user diversity performance, user's interruption rate, and reach good compromise between signalling performance.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and replacement, these improve and replace and also should be considered as protection scope of the present invention.
Claims (7)
1., based on a signaling data combining transmission method for orthogonal frequency division multiple access system, it is characterized in that, comprise step:
S1: when sending the signaling of each user to and data flow arrives base station, base station will belong to the signaling of each user and data stream separation to the different priority query corresponding to this user;
S2: sub-channel, according to the channel condition information of the different buffer queue information of each user, Qos quality of service requirement information and user feedback, is carried out and power distributes in base station;
S3: signaling to be passed and data stream are given each user by OFDM channel by base station;
Wherein, described step S2 comprises further: in each time slot scheduling, divides the total transmitting power in base station equally to all subchannels; Then random selecting unappropriated subchannel successively, and calculate the utility function of each user on this subchannel, selected subchannel is distributed to the user having maximum utility function, and estimate that the queuing message upgrading this user distributes for next subchannel, until all subchannels are assigned or all Subscriber Queue are all cleared.
2. the method for claim 1, is characterized in that, in step sl, described data flow comprises real time business, non-real-time service and Best-Effort service; Real time business refers to the business to delay requirement harshness, will be dropped after the packet carrying this type of business exceedes certain maximum delay; Non-real-time service refers to has certain requirement to message transmission rate, but to the undemanding business of requirement of real-time; Best-Effort service refers to time delay and the lower business of transmission rate request.
3. method as claimed in claim 2, it is characterized in that, in step sl, the priority of signaling, real time business, non-real-time service, Best-Effort service from high to low.
4. the method for claim 1, is characterized in that, for each user, utilizes the resource distributing to this user its queue to be emptied from high to low by queue priority.
5. the method for claim 1, is characterized in that, the utility function of each user is the achievable rate r of user's current time slots on subchannel l
u,l, the signaling effectiveness factor, the real time business effectiveness factor and the non-real-time service effectiveness factor product.
6. method as claimed in claim 5, it is characterized in that, for real time business, the utility function factor is
wherein
for user's real time business queue cache size, queue cache size to be divided into groups maximum arrival rate and establishing according to real-time service transmission delay requirement and real time business;
for the current real time business queue length of user u;
for the minimum real time business free buffer length that user u expects, setting up of this parameter gives certain surplus for ensureing that real time business delay requirement stays; If user has two and above real time business, then
the real time business little according to business need time delay is arranged.
7. method as claimed in claim 5, it is characterized in that, for non-real-time service, the utility function factor is
wherein
for the minimum-rate requirement of user's non-real-time service; R
un () to be user u current has obtained the achievable rate that can be used for transmitting non-real-time service; If user has two and above non-real-time service, then
require that high non-real-time service is arranged according to minimum-rate.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1756177A (en) * | 2004-09-29 | 2006-04-05 | 上海贝尔阿尔卡特股份有限公司 | Base station for carrying out resource scheduling for user device in wireless network and its method |
| WO2006105010A1 (en) * | 2005-03-25 | 2006-10-05 | Neocific, Inc. | Methods and apparatus for cellular broadcasting and communication system |
| CN101262651A (en) * | 2008-04-18 | 2008-09-10 | 中国科学院计算技术研究所 | Base station downlink data dispatching method and system in broadband wireless MAN |
| CN101335731A (en) * | 2007-06-26 | 2008-12-31 | 华为技术有限公司 | Transmission method and device based on OFDM |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1756177A (en) * | 2004-09-29 | 2006-04-05 | 上海贝尔阿尔卡特股份有限公司 | Base station for carrying out resource scheduling for user device in wireless network and its method |
| WO2006105010A1 (en) * | 2005-03-25 | 2006-10-05 | Neocific, Inc. | Methods and apparatus for cellular broadcasting and communication system |
| CN101335731A (en) * | 2007-06-26 | 2008-12-31 | 华为技术有限公司 | Transmission method and device based on OFDM |
| CN101262651A (en) * | 2008-04-18 | 2008-09-10 | 中国科学院计算技术研究所 | Base station downlink data dispatching method and system in broadband wireless MAN |
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