CN105873100B - Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method - Google Patents
Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method Download PDFInfo
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Abstract
The invention discloses a kind of adaptive anti-ruin of lightweight QoE driving to wirelessly communicate chance control method, is included in radio communication terminal addition survivability antenna module；According to quality of wireless network as whether the foundation of end-to-end wireless transmission opportunity network being added；Lightweight QoE drive scheme is worked out based on user terminal channel quality；According to user demand, network quality, wireless communication terminal capability to resist destruction and wireless communication survivability demand, to be wirelessly transferred hop count, data scale and life cycle matching optimal wireless opportunistic network side transmission plan；As unit of communication period is by session, real-time update wireless transmission scheme.This method has fully considered network real-time quality, multimedia, Streaming Media and non-multimedia wirelessly communicate feature, cordless communication network is anti-to ruin row demand and user experience demand, optimize radio communication terminal and opportunistic sets up cordless communication network, cordless communication network survivability is promoted while ensureing user experience quality.
Description
Technical field
The present invention relates to wireless network survivabilities and wireless transmission opportunity control method, more particularly to a kind of lightweight
QoE drive scheme and adaptive anti-ruin wirelessly communicate chance control method, belong to the guarantee of wireless network survivability and chance control
Technical field.
Background technique
Opportunistic network technology needs to occupy wireless terminal vast resources when recombinating wireless data transmission path and its network
And equipment, especially wireless signal send and receive module.Wireless communication network topology has dynamic characteristic, user experience simultaneously
Quality has time variation, how between network robustness, user demand and wireless network dynamic change to seek optimal control side
Case becomes critical issue.Existing control method intelligently optimizes one or two targets in above three target, works as synthesis
When considering three targets, cordless communication network is directly resulted in consumption vast resources while being difficult to meet user experience quality.Mirror
In this, the applicant has made beneficial design, and technical solution described below generates in this background.
Summary of the invention
In view of the above shortcomings of the prior art, the object of the present invention is to provide a kind of lightweight QoE (Quality of
Experience, Quality of experience) driving it is adaptive it is anti-ruin wireless communication chance control method, adaptive opportunistic sets up satisfaction
User experience quality demand, and the survivability channel radio optimized simultaneously according to network robustness and wireless network dynamic change
Communication network.
Adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method, comprising the following steps:
S01, survivability chance coupled antenna pair is affixed one's name in wireless communication terminal part；
S02, wireless communication terminal state are defined as { communication distance, antenna profile area, working frequency }, user terminal experience
Quality definition is { tolerant of delay tolerates data volume, tolerant transmission duration }, and the wireless communication terminal includes survivability request hair
Play wireless terminal and survivability request response wireless terminal；
S03, the request response wireless terminal status parameter value of the survivability in conjunction with obtained in step S02, calculate the terminal
Effective energy, effective operating voltage and effective transmission power carry out primary control, obtain candidate communication network node collection
It closes；
S04, user terminal channel quality SNR is measuredUIf user terminal channel quality be it is poor, lightweight QoE drive weight take
Value be [α, 1], if user terminal channel quality be it is excellent, lightweight QoE drive weight value be [0, α)；
If the requested data type of S05, user terminal be multimedia or Streaming Media, α value [0.5,1), if user
Hold requested data type for the other types in addition to multimedia and Streaming Media, and α value (0,0.5], then calculate user terminal
Experience quality parameter value.
S06, data sending terminal for primary control candidate communication set of network nodes, based on survivability demand into
Row maximum transmitted hop count and tolerant of delay, candidate network minimum data scale and tolerance data volume, candidate network minimum Life Cycle
Three best match of phase and tolerant transmission period determine that optimal wireless is anti-after the secondary control of progress and ruin opportunistic communication network；
S07, user terminal initiate lightweight QoE driving and survivability request to data sending terminal in real time as unit of session,
According to step S03, S04, S05 and S06, real-time update, which wirelessly resists, ruins opportunistic communication network.
Further, to obtain candidate communication set of network nodes, primary control described in step S03, including it is following
Step:
S3a, network quality wireless communication terminal status parameter values are based on, survivability request initiates wireless terminal according to itself
Antenna gain, voltage and dump energy and survivability request response wireless terminal antenna gain, dump energy and antenna
Angle calculates effective energy, effective voltage and the effective transmission power of all survivability request response terminals；
S3b, it is less than when the sum of effective energy, effective voltage and effective transmission powerShow net
Network is of poor quality；When the sum of effective energy, effective voltage and effective transmission power are greater thanShow network
It is quality, select network quality to constitute candidate communication set of network nodes for excellent survivability request response terminal.
Further, the user terminal channel quality is that difference refers to SNRULess than threshold valueUser terminal channel quality refers to SNR to be excellentUGreater than threshold value
Further, opportunistic communication network is ruined in order to determine that optimal wireless is anti-, from the wireless communication network node of primary control
The killer opportunity survivability node that Resource selection meets matching principle forms final cordless communication network,
It is to make each wireless terminal in cordless communication network that maximum transmitted hop count described in step S06 is matched with tolerant of delay
Transmission power be more than or equal toThe PSIndicate data sending terminal transmission power, the PiIt indicates i-th
The transmission power of candidate terminal, the PmaxIndicate emission maximum function in the candidate communication set of network nodes of primary control
Rate, the PminIndicate that minimum emissive power in the candidate communication set of network nodes of primary control, the m indicate primary
The candidate communication set of network nodes number of terminals of control；
The candidate network minimum data scale and tolerate data it is flux matched be to make cordless communication network average emitted power
It is equal toThe HopmaxIndicate maximum transmitted hop count, the THopIndicate that one jumps propagation delay time,
The PERavgIt indicates average packet loss ratio, isThe matching enables the minimum data that cordless communication network correctly transmits
Minimum data amount needed for scale is more than or equal to user；
The candidate network minimum life cycle and tolerant transmission cycle match are to keep cordless communication network consumption energy equal
Value is less than or equal toAverage voltage is worked at the same time to be more than or equal toThe GsTable
Show data sending terminal antenna gain, the EiIndicate the energy consumption of i-th of wireless terminal, the VsIndicate data sending terminal work electricity
Pressure, the GUIndicate user terminal antenna gain, the w indicates antenna angle, the TASIndicate antenna interfacial area, the ViTable
Show the operating voltage of i-th of wireless terminal.The matching makes the resource of cordless communication network transmission user requested data consumption will not
Cordless communication network is caused to destroy.
Further, the survivability chance coupled antenna initiates antenna and survivability responsive antenna to including survivability,
The survivability, which initiates allocating antenna, requests to initiate wireless terminal in survivability, and the survivability responsive antenna is deployed in survivability
Request response wireless terminal.
The beneficial effect of technical solution provided by the present invention is, using survivability antenna module, can both initiate anti-ruin
Property chance control command can receive again survivability chance control request；According to quality of wireless network based on wireless communication terminal
Distance, antenna profile area and working frequency calculate effective energy, effective operating voltage and the effective transmission power of the terminal, control
Best survivability wireless terminal is made, so that the efficient resource for cordless communication network utilizes and lifecycle maximization provides guarantor
Barrier.Meeting survivability demand simultaneously, lightweight QoE drive scheme is worked out based on user terminal channel quality, calculates user terminal institute
Patient time delay, data volume and transmission cycle；According to user demand, network quality, wireless communication terminal capability to resist destruction and nothing
Line communicates survivability demand, from wireless transmission hop count, data scale and life cycle, matches optimal wireless opportunistic network side
Transmission plan；During end-to-end communication, as unit of session, it is based on network quality and survivability real-time update wireless transmission side
Case.It efficiently solves existing sharp between user experience quality demand and network resources for wireless communication utilization rate and its life cycle
Strong contradiction.
Detailed description of the invention
Fig. 1 is that adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method schematic diagram.
Fig. 2 is distance d to effective energy μ ER, and influence schematic diagram.
Fig. 3 is antenna interfacial area TASTo effective voltage μ VRChanging rule schematic diagram.
Fig. 4 is working frequency fOCTo effective power μ PRInfluence changing rule schematic diagram.
Fig. 5 is survivability originating end antenna structure view.
Fig. 6 is survivability receiving end antenna structure view.
Fig. 7 is that survivability chance couples schematic equivalent circuit.
Specific embodiment
Below with reference to embodiment, the invention will be further described, but not as a limitation of the invention.
In wireless sensor network or Internet of Things opportunistic communication, it is assumed that the collection of the n neighbor node composition of data sending terminal S
It is combined into NS.Wireless communication terminal state in the set is defined as { communication distance d, antenna profile area TAs, working frequency
fOC}.The antenna gain at the end S is Gt, operating voltage Vm, transmission power Pt.The day gain of the terminal of NS set is Gr, remaining
Energy is ES, operating voltage VS, reception power is PS.The aerial signal angle of the terminal of the end S and NS set is w.According to formula
(1), the effective energy ratio μ E of the terminal of NS set can be calculated in (2) and (3)R, effective voltage ratio μ VRWith work ratio μ
PR。
According to formula (1), (2) and (3), under assay heterogeneous networks quality, distance d is to effective energy ratio μ ER, antenna
Interfacial area TASTo effective voltage ratio μ VRWith working frequency fOCTo work ratio μ PRInfluence, as a result such as the institute of Fig. 2,3 and 4
Show.Referring to Fig.2, having when SNR (full name in English are as follows: Signal to Noise Ratio, Chinese are as follows: signal-to-noise ratio) increases
Imitate energy ratio μ ERIt increases with it.The effective energy ratio μ E when the communication distance of the terminal of transmitting terminal S and NS set increasesRIt is bigger.
The shorter capacity usage ratio of distance is higher when identical network quality.When network quality is poor, distance on capacity usage ratio influence compared with
It is low；When network quality is preferable, short haul connection is conducive to improve capacity usage ratio, and opportunistic network has preferably anti-ruin at this time
Property.Show the neighbor node of suitable distance must be selected to form opportunistic network according to network quality in opportunistic communication.Refering to Fig. 3
It was found that the effective operating voltage of improvement terminal with network quality incrementally increases, and after network quality reaches certain value, effective work
It tends towards stability as voltage.When antenna area of section increases, effective operating voltage is bigger, but when network quality is preferable, and antenna is cut
Face area influences effective operating voltage smaller.Show that appropriate antenna section must be selected according to network quality in opportunistic communication
The neighbor node of area forms opportunistic network, can effectively improve the survivability of opportunistic network.It is found refering to Fig. 4, if network
When quality is preferable, the higher work ratio of working frequency is smaller；Conversely, influence of the working frequency to work ratio is weaker.Table
It is bright, effective power can be increased in opportunistic communication by adjusting the working frequency of terminal, further improve the survivability of opportunistic network.
In conclusion the effective energy ratio μ E of the terminal based on NS setR, effective voltage ratio μ VRWith work ratio μ PR
Opportunistic network node selection implementation steps it is specific as follows:
S01, according to formula (1), (2) and (3) calculate the effective energy ratio μ E of n terminal in NS setR, effective voltage ratio
μVRWith work ratio μ PR；
S02, acquisition network quality evaluation threshold value is calculated
S03, measurement obtain current network and are averaged SNRavgIf SNRavgLess than threshold value, show current network quality compared with
Difference turns to S04；Conversely, current network quality preferably turns to S05；
S04, effective energy ratio μ E is chosenRIt is greater thanEffective voltage ratio μ VRIt is greater thanHave
Imitate power ratio μ PRIt is greater thanTerminal form new opportunistic network terminal set NS1, turn to S06；
S05, selection d are less thanTASIt is greater thanWorking frequency fOCIt is less thanTerminal composition it is new
Opportunistic network terminal set NS1；
S06, by NS1Feed back to transmitting terminal S.
Assuming that the channel quality of user receiving end U is SNRU, lightweight QoE drive weight be [0, α) or [α, 1], β table
Show U to the tolerance factor of different types of data.User terminal Quality of experience is defined as { tolerant of delay DU, tolerance data volume DSU, appearance
Bear transmission duration TDU }, respectively by formula (4), (5) and (6) are calculated.
Wherein, CUFor the computing capability of user receiving end U, MUFor the storage capacity of U, DMUFor the display capabilities of U, TVUFor U
Wireless transmission port receiving velocity, TMUFor the number of U.Above-mentioned parameter value can be obtained from user terminal.
In conclusion lightweight QoE actuation step is as follows:
The channel quality that S01, measurement obtain user receiving end U is SNRU；
If S02, SNRULess than threshold valueShow that current network is second-rate,
Lightweight QoE drive weight be [α, 1], while the requested data type of user terminal be multimedia or Streaming Media, α ∈ [0.5,
1) and α value close to 1 to be excellent, β ∈ [1,1.5] and β value are excellent close to 1.5；If the requested data type of user terminal is
Other types in addition to multimedia and Streaming Media, α ∈ (0,0.5] and α value with close to 0 to be excellent, β ∈ [0.5,1] and β value with
It is excellent, steering S04 close to 1；
If S03, SNRUGreater than threshold valueShow that current network quality is more excellent,
Lightweight QoE drive weight be [0, α), at the same the requested data type of user terminal be multimedia or Streaming Media, α ∈ [0.5,
1] and α value with close to 0.5 to be excellent, β ∈ [1,1.5] and β value is to be excellent close to 1；If the requested data class of user terminal
Type be other types in addition to multimedia and Streaming Media, α ∈ [0,0.5] and α value with close to 0.5 for excellent, β ∈ [0.5,1] and β
Value is to be excellent, steering S04 close to 0.5；
S04, according to formula (4), (5) and (6) calculate the tolerant of delay DU of user terminal Quality of experience, tolerate data volume DSU,
Tolerant transmission duration TDU；
S05, DU, DSU and TDU are fed back into transmitting terminal S.
The opportunistic network terminal set NS obtained for primary control1, m terminal is shared in the set.It is driven in conjunction with QoE
Secondary chance control control is carried out, determines and optimizes opportunistic network NS according to following three matching rules with survivability demandF。
Matching rule one: maximum transmitted hop count and tolerant of delay matching rule.
Meet HOPmaxTHOP=DU.Wherein, HOPmaxIndicate maximum transmitted hop count, THOPIndicate that one jumps propagation delay time.
It is required that NSFIn the transmission power of each terminal be more than or equal to formula (7) mesh power minimum value for being calculated
Wherein, PmaxIndicate NS1Middle terminal maximum power, PminIndicate NS1Middle terminal minimum power.
Matching rule two: minimum data scale and tolerance data are flux matched.
Meet DSmin=DSU.Wherein, DSminIndicate that opportunistic network sends minimum data amount.
It is required that NSFIt is capable of the minimum data scale of Successful transmissions more than or equal to minimum data amount needed for user, simultaneously averagely
Transmission power PavgWith average packet loss ratio PERavgMeet formula (8) described relationship.
Wherein, DSiIndicate opportunistic network NSFIn the i-th terminal transmission data volume, PiIndicate the transmitting function of i-th of terminal
Rate.
Matching rule three: minimum life cycle is matched with tolerant transmission duration.
Meet LCmin=TDU.Wherein, LCminFor opportunistic network minimum life cycle.
It is required that transmitting data by user, to consume resource not and will lead to the i.e. opportunistic network energy consumption of opportunistic network destruction equal
Value EnetWith operating voltage VnetMeet relationship shown in formula (9).
Wherein, EiIndicate the energy consumption of i-th of terminal.
To the opportunistic network NS of primary control1, secondary control is carried out according to above three matching rule, meets the end of condition
End forms optimal opportunistic network, and implementation step is specific as follows:
S01, primary control opportunistic network NS is calculated1The maximum transmitted hop count of transmission, if meeting matching rule one, NSF
=NS1, turn to S05；Otherwise, optimize NS according to formula (7)1, form new opportunistic network NS2；
S02, computer can network N S2The minimum data scale of transmission, if meeting matching rule two, NSF=NS2, turn
To S05；Otherwise, optimize NS according to formula (8)2, form new opportunistic network NS3；
S03, computer can network N S3The minimum life cycle of transmission, if meeting matching rule three, NSF=NS3, turn
To S05；Otherwise, optimize NS according to formula (9)3, form new opportunistic network NS4；
S04、NSF=NS4；
S05, by NSFFeed back to transmitting terminal S.
Based on above three matching rule, survivability antenna pair is devised.Survivability as shown in Figure 5 initiates allocating antenna
On data sending terminal S, survivability responsive antenna shown in fig. 6 is deployed in other opportunistic network terminals.Above-mentioned initiation-response
Hardware support is provided for chance control method by survivability chance coupled modes shown in Fig. 7 between antenna.
In Fig. 5, a and b indicate chance dipole end, for receiving the signal from neighbor node or user terminal feedback, c
It is inner antenna information enhancement and survivability reinforcing element with d, port is serial ports or wireless module, for being connect with server,
MCU is microcontroller, and for controlling working sequence and the task distribution of the antenna, EEPROM is memory, and chance control is calculated
Method stores within the element.
In Fig. 6, port is used to obtain equipment electric attribute parameter from the wireless terminal of opportunistic network, and EEPROM is for storing
Chance controls optimization algorithm.D, e and f are the affiliated wireless terminal survivability component of antenna, have signal amplification and coupling modulation function
Can, h and l are dipole antenna pair, form chance with the end a and b in Fig. 5 and couple.
What Fig. 7 was provided is the chance coupled modes equivalent circuit between a transmitting terminal and an opportunistic network terminal, one
A transmitting terminal to the chance coupled modes between multiple opportunistic network terminals similarly.
The present invention controls the wireless terminal set with best survivability, checks the quality in conjunction with user's body from network quality
Amount, opportunistic construct cordless communication network, adaptive equalization QoE driving and survivability demand, thus for heterogeneous networks quality and
Various wireless data transmissions under user experience quality provide high survivability and high quality guarantee.
Claims (4)
1. a kind of adaptive anti-ruin of lightweight QoE driving wirelessly communicates chance control method, which is characterized in that including following step
It is rapid:
S01, survivability chance coupled antenna pair is affixed one's name in wireless communication terminal part；
S02, wireless communication terminal state are defined as { communication distance, antenna profile area, working frequency }, user terminal Quality of experience
It is defined as { tolerant of delay tolerates data volume, tolerant transmission duration }, the wireless communication terminal includes that nothing is initiated in survivability request
Line terminal and survivability request response wireless terminal；
S03, the request response wireless terminal status parameter value of the survivability in conjunction with obtained in step S02, calculate the effective of the terminal
Energy, effective operating voltage and effective transmission power carry out primary control, obtain candidate communication set of network nodes；Institute
The primary control stated, comprising the following steps:
S3a, network quality wireless communication terminal status parameter values are based on, survivability requests the day for initiating wireless terminal according to itself
Antenna gain, dump energy and the antenna clip of line gain, voltage and dump energy and survivability request response wireless terminal
Angle calculates effective energy, effective voltage and the effective transmission power of all survivability request response terminals；
S3b, it is less than when the sum of effective energy, effective voltage and effective transmission powerShow network matter
It is poor to measure；When the sum of effective energy, effective voltage and effective transmission power are greater thanShow network quality
It is excellent, select network quality to constitute candidate communication set of network nodes for excellent survivability request response terminal, data are sent
The collection of the n neighbor node composition of end S is combined into NS, μ ERIndicate the effective energy ratio of the terminal of NS set；μVRIndicate having for terminal
Imitate voltage ratio, μ PRIndicate the work ratio of terminal；
S04, user terminal channel quality SNR is measuredUIf user terminal channel quality be it is poor, lightweight QoE drive weight value be
[α, 1], if user terminal channel quality be it is excellent, lightweight QoE drive weight value be [0, α)；
If the requested data type of S05, user terminal be multimedia or Streaming Media, α value [0.5,1), if user terminal institute
The data type of request is other types in addition to multimedia and Streaming Media, and α value (0,0.5], then calculate user terminal experience
Quality parameter value；
S06, data sending terminal carry out most the candidate communication set of network nodes of primary control based on survivability demand
Big transmission hop count and tolerant of delay, candidate network minimum data scale and tolerance data volume, candidate network minimum life cycle with
Three best match in tolerant transmission period determine that optimal wireless is anti-after the secondary control of progress and ruin opportunistic communication network；
S07, user terminal initiate lightweight QoE driving and survivability request to data sending terminal in real time as unit of session, according to
Step S03, S04, S05 and S06, real-time update, which wirelessly resists, ruins opportunistic communication network.
2. adaptive anti-ruin of lightweight QoE driving according to claim 1 wirelessly communicates chance control method, feature
It is, the user terminal channel quality is that difference refers to SNRULess than threshold valueUser terminal
Channel quality refers to SNR to be excellentUGreater than threshold valueμER(i) i-th of NS set is indicated
The effective energy ratio of terminal；μVR(i) the effective voltage ratio of i-th of terminal of NS set is indicated；μPR(i) the i-th of NS set is indicated
The work ratio of a terminal.
3. adaptive anti-ruin of lightweight QoE driving according to claim 1 wirelessly communicates chance control method, feature
It is, maximum transmitted hop count described in step S06 is matched with tolerant of delay makes each wireless terminal in cordless communication network
Transmission power is more than or equal toThe PSIndicate data sending terminal transmission power, the PiIndicate i-th of time
Select the transmission power of terminal, the PmaxIndicate maximum transmission power in the candidate communication set of network nodes of primary control,
The PminIndicate that minimum emissive power in the candidate communication set of network nodes of primary control, the m indicate primary control
Candidate communication set of network nodes number of terminals；
The candidate network minimum data scale with tolerate data it is flux matched be to be equal to cordless communication network average emitted powerThe HopmaxIndicate maximum transmitted hop count, the THopIndicate that one jumps propagation delay time, it is described
PERavgIt indicates average packet loss ratio, isThe minimum data scale that the matching enables cordless communication network correctly to transmit
More than or equal to minimum data amount needed for user；
The candidate network minimum life cycle and tolerant transmission cycle match are to keep cordless communication network consumption average energy value small
In being equal toAverage voltage is worked at the same time to be more than or equal toThe GsIndicate number
According to transmitting terminal antenna gain, the EiIndicate the energy consumption of i-th of wireless terminal, the VsIndicate data sending terminal operating voltage, institute
State GUIndicate user terminal antenna gain, the w indicates antenna angle, the TASIndicate antenna interfacial area, the ViIndicate i-th
The operating voltage of a wireless terminal, d indicate the communication distance of the terminal of transmitting terminal S and NS set.
4. adaptive anti-ruin of lightweight QoE driving according to claim 1 wirelessly communicates chance control method, feature
It is, the survivability chance coupled antenna to including that survivability initiates antenna and survivability responsive antenna, send out by the survivability
It plays allocating antenna to request to initiate wireless terminal in survivability, it is wireless that the survivability responsive antenna is deployed in survivability request response
Terminal.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101483902A (en) * | 2009-02-25 | 2009-07-15 | 南京邮电大学 | Wireless multimedia sensor network routing method for guaranteeing QoS |
| CN102098691A (en) * | 2011-03-25 | 2011-06-15 | 西安电子科技大学 | Method for establishing scale-free sensor having survivability |
| CN103108371A (en) * | 2011-11-14 | 2013-05-15 | 上海交通大学 | Single antenna multichannel cognitive wireless sensor network route control method |
| WO2013072271A1 (en) * | 2011-11-14 | 2013-05-23 | Nokia Siemens Networks Oy | Performing mobility load balancing and mobility robustness optimization between access nodes for only a subset of user equipment |
| CN103957114A (en) * | 2014-02-24 | 2014-07-30 | 国家电网公司 | Network survivability assessment method based on variation coefficient |
-
2016
- 2016-03-30 CN CN201610191236.7A patent/CN105873100B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101483902A (en) * | 2009-02-25 | 2009-07-15 | 南京邮电大学 | Wireless multimedia sensor network routing method for guaranteeing QoS |
| CN102098691A (en) * | 2011-03-25 | 2011-06-15 | 西安电子科技大学 | Method for establishing scale-free sensor having survivability |
| CN103108371A (en) * | 2011-11-14 | 2013-05-15 | 上海交通大学 | Single antenna multichannel cognitive wireless sensor network route control method |
| WO2013072271A1 (en) * | 2011-11-14 | 2013-05-23 | Nokia Siemens Networks Oy | Performing mobility load balancing and mobility robustness optimization between access nodes for only a subset of user equipment |
| CN103957114A (en) * | 2014-02-24 | 2014-07-30 | 国家电网公司 | Network survivability assessment method based on variation coefficient |
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