CN103647732A - 4G-network system efficiency maximization method based on multi-user interference characteristic prediction - Google Patents
4G-network system efficiency maximization method based on multi-user interference characteristic prediction Download PDFInfo
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- CN103647732A CN103647732A CN201310647487.8A CN201310647487A CN103647732A CN 103647732 A CN103647732 A CN 103647732A CN 201310647487 A CN201310647487 A CN 201310647487A CN 103647732 A CN103647732 A CN 103647732A
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Abstract
The invention relates to 4G cellular network, user scheduling, OFDM and multi-user interference technologies and particularly relates to a 4G-network system efficiency maximization method based on multi-user interference characteristic prediction. With respect to a 4GOFDM wireless network, the method estimates the state of total interferences from other users in different time interval granularity ranges when channels are at different fading states and uses interference estimation values as one of references in scheduling users and uses the queue length of the users as the other scheduling reference. Based on joint estimation of the two references, an actual multi-user 4G wireless network interference environment is adapted so that scheduling efficiency of the users is ensured. The method is especially applicable to a state when active users of the system are large in number.
Description
Technical field
The present invention relates to 4G cellular network, user's scheduling, OFDM and multi-user interference technology, relate in particular to a kind of based on multi-user interference signatures to predict 4G network system maximizing efficiency method.
Background technology
Multi-user wireless network of future generation need to provide effective service for more having the data user of burst characteristic, and this makes system resource more aobvious in short supply.For multi-user OFDM wireless network, the dispatching method of current existence all has perfect channel status (comprising the DSA algorithm that chapter 3 proposes herein) based on hypothesis mostly.These methods, under hypothesis has strictly accurately sub-carrier channels quality requirements, based on channel status chooser carrier wave and distribute power adaptively, thereby meet a certain index demand of user QoS.Yet, when channel is during in different decline state, in short time interval particle size range (more precisely: take each time slot as interval), it is unpractiaca immediately estimating exactly each user's sub-carrier channels state, has limited the practical application of these algorithms.In actual multi-user radio environment, the signal data state of an active user is not only relevant with factors such as its channel fading state and multipath effects, and relevant with the signal strength signal intensity of other active users (disturbing factor), particularly, when system is during in a lot of state of active user quantity, this factor be can not ignore especially.
For obtaining the high efficiency of the 4G OFDM wireless network user transmission having under multi-user interference state, this programme has proposed to be applicable to the dispatching method under 4G OFDM multi-user interference, the method can effectively be utilized the actual system environments of multi-user's multi-service 4G network, realizes the maximization of running efficiency of system.
Summary of the invention
1, technical problem to be solved
Researcher Eunchul Yool has proposed a kind of dependency structure (frequency domain correlation) statistical property prediction based on existing between actual multi-user environment sub-carriers, the algorithm of chooser carrier wave and power division [1].This algorithm is by utilize correlation properties between subcarrier and average channel condition value to improve the average and speed of system simultaneously.Yet, when subcarrier bandwidth is less than correlation bandwidth, between each subcarrier, produced mutual independence, at this moment this algorithm limits the flexibility that improves power system capacity by the good subcarrier of selective channel.Effectively utilizing each subcarrier requirement subcarrier bandwidth should be enough little, to can both select have for each user each subcarrier of mutual independence at channel during in different decline state.
2, technical scheme
In order to overcome the above problems, the invention provides a kind of based on multi-user interference signatures to predict 4G network system maximizing efficiency method: first, estimation 4G OFDM multi-user interference state.This programme adopts the ON/OFF model typically with burst characteristic as user data model, the long-tail of data sequence, self-Similarity Structure correlation are carried out to statistical nature estimation, and several the reuse parameters relevant to ON/OFF user's sequence statistical framework are as follows:
(1) the minimum ON state continuance phase, this parameter is determined by minimum file size and transfer rate.
(2) the minimum OFF state continuance phase.This parameter determines by user's think time, and its excursion is 1～30s, and this programme is selected: 2s.
(3) slope of flow file size distribution.This programme selects 1.3.
(4) slope of the vacant time size distribution of customer flow.This programme is selected: 1.5.
Then, the statistics estimation of estimation wireless fading channel state.With a relatively easy channel model, Fading Characteristics of Outdoor Time-variant Wireless Channel is described.Main two decline correlative factors considering are: Range-based attenuation factor and slow-shadow fading factor.Therefore, Range-based attenuation factor is: propagation attenuation is selected d-4.Wherein: d represents propagation distance.Slowly-shadow fading is described with the normal distribution with standard deviation.
In order each subcarrier (intersymbol interference also causing in order to overcome frequency selective fading) of mutual independence to be selected have in sub-carrier channels for each user simultaneously during in different decline state, adopt enough little carrier bandwidths (being less than correlation bandwidth).
In multi-user radio environment, ON/OFF user data has self-similar cycle correlation.Meanwhile, consider the randomness that user data sequence size (size of transfer files) distributes, when the user of the less data sequence of transmission is more, should adopt short time particle size range forecast model to obtain and granular level predicted value that interference signal is being wrapped.Therefore, this method has been considered interference characteristic and service queue wait state simultaneously, can make two kinds of assurances of actual 4GOFDM wireless network transmissions tool validity and fairness.
3, beneficial effect
Use this algorithm can efficiently realize the system maximise transmission efficiency based on disturbance state and the estimation of queue stand-by period.
Accompanying drawing explanation
Fig. 1 is based on associating physical layer, data link control layer and application layer system mode
Embodiment
Below by embodiment, the present invention is described in detail.
Embodiment 1
Its working method is as follows:
Consider that user may have heavier to row load, therefore use the arrival rate (controlling the access of user data) of the level and smooth user data of exponential weighting low pass time window.The length of window of exponential weighting low pass time window is adjusted into large time granularity interference prediction interval optimal value.
System optimization model is the mechanism based on associating physical layer, data link control layer and application layer.So the realization of algorithm need to utilize the temporal correlation (application layer) of user data and the diversity (physical layer) of user's sub-carrier channels state to determine that the distribution of subcarrier determines (data link control layer) simultaneously.Optimize implementation procedure as shown in Figure 1.
Realization mechanism mainly comprises following three steps:
The first step: the QoS dependent constant of determining each user.
Second step: the average latency of calculating each user data queue.
The 3rd step: subcarrier collection is distributed to the user with maximum queue time delay benefit.
The subcarrier that uses iteration degree-raising approach to complete between all M user distributes.So reduced to a great extent the required time overhead of alternative manner because subcarrier distributes time interval granularity to be far longer than slot length.Therefore, the subcarrier between M user distributes complexity to be far smaller than: (M-1) 2 (K+1) log2 (K).Use this algorithm can efficiently realize the system maximise transmission efficiency based on disturbance state and the estimation of queue stand-by period.
Claims (5)
1. based on a multi-user interference signatures to predict 4G network system maximizing efficiency method, comprise the following steps: the first step, estimation 4G OFDM multi-user interference state; The statistics estimation of second step, estimation wireless fading channel state.
2. as claimed in claim 1 based on multi-user interference signatures to predict 4G network system maximizing efficiency method, it is characterized in that: the first step adopts the ON/OFF model typically with burst characteristic as user data model, and the long-tail of data sequence, self-Similarity Structure correlation are carried out to statistical nature estimation.
3. as claimed in claim 1 based on multi-user interference signatures to predict 4G network system maximizing efficiency method, it is characterized in that: in second, with a relatively easy channel model, describe Fading Characteristics of Outdoor Time-variant Wireless Channel, main two decline correlative factors considering are Range-based attenuation factor and slow-shadow fading factor.
As described in claim 1-2 based on multi-user interference signatures to predict 4G network system maximizing efficiency method, it is characterized in that: in multi-user radio environment, ON/OFF user data has self-similar cycle correlation, consider the randomness of user data sequence size distribution simultaneously, when the user of the less data sequence of transmission is more, should adopt short time particle size range forecast model to obtain and granular level predicted value that interference signal is being wrapped.
As described in claim 1-2 based on multi-user interference signatures to predict 4G network system maximizing efficiency method, it is characterized in that: use this algorithm can efficiently realize the system maximise transmission efficiency based on the estimation of disturbance state and queue stand-by period.
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Application publication date: 20140319 |