CN103974404A - Power distribution scheme based on maximum effective capacity and applied to wireless multi-antenna virtual MIMO - Google Patents

Power distribution scheme based on maximum effective capacity and applied to wireless multi-antenna virtual MIMO Download PDF

Info

Publication number
CN103974404A
CN103974404A CN201410206359.4A CN201410206359A CN103974404A CN 103974404 A CN103974404 A CN 103974404A CN 201410206359 A CN201410206359 A CN 201410206359A CN 103974404 A CN103974404 A CN 103974404A
Authority
CN
China
Prior art keywords
user
mimo
gamma
qos
cooperation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410206359.4A
Other languages
Chinese (zh)
Inventor
李丹萍
程文驰
张海林
任智源
李勇朝
崔建国
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xidian University
Original Assignee
Xidian University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xidian University filed Critical Xidian University
Priority to CN201410206359.4A priority Critical patent/CN103974404A/en
Publication of CN103974404A publication Critical patent/CN103974404A/en
Pending legal-status Critical Current

Links

Landscapes

  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a power distribution scheme based on the maximum effective capacity and applied to a wireless multi-antenna virtual MIMO. The power distribution scheme is characterized in that for an MIMO system in a wireless network, the power control technology is applied to new users, the interference from the new users in existing users is limited to be kept at an acceptable level, and therefore the effective capacity of the existing users is guaranteed; through optimization of the guarantee of QoS in a cooperative V-MIMO, the power distribution scheme driven by the QoS of the new users is obtained; for a half-duplex/ full-duplex system of the cooperative V-MIMO in the wireless network, the problem of optimization of the guarantee of QoS in the cooperative V-MIMO is established to be a strict convex optimization problem. According to the power distribution scheme based on the maximum effective capacity and applied to the wireless multi-antenna virtual MIMO, the optimal power distribution scheme supporting statistics of the QoS in the non-cooperative/cooperative V-MIMO system in the wireless network is promoted, the effective capacity of the new users can be maximized, the effective capacity of the existing users can also be guaranteed, and the power distribution scheme for the non-cooperative/cooperative V-MIMO system is evaluated through simulation.

Description

In wireless many antennas virtual MIMO based on maximizing available capacity power allocation scheme
Technical field
The present invention relates in a kind of wireless many antennas virtual MIMO based on maximizing available capacity power allocation scheme.
Background technology
In the decades in past, in wireless network, MIMO technology has been proved to be and can have obtained high spectrum efficiency, and by spatial reuse, the throughput of mimo system is linear increasing along with the minimum value of transmitting antenna and reception antenna presents.But, be subject to the restriction of volume and cost, mobile terminal is difficult to be equipped with many antennas, and in reality, mobile subscriber's one general configuration one or two is with antenna, although therefore base station can configure many antennas, between user and base station, the throughput of channel is still limited to the antenna number of user side.Without loss of generality, suppose that mobile subscriber configures a transmitting antenna.
On identical subchannel, use identical frequency and time slot to send independently data by two or more users, the problem proposing before can overcoming, this means that a user uses some of them subchannel, one or more users in addition also use identical subchannel to send data, and the user of use same sub-channel is divided into group and sends data to base station.From the angle of base station, the data that receive are seemingly sent from a user, and this user configures many antennas, the transmission mode that usage space is taken.If the number of base station reception antenna is more than or equal to user's transmitting antenna number summation, base station can decode the multiple data flow from different user, this kind of transmission means is called the V-MIMO transmission of up link, for current popular radio honeycomb community V-MIMO,, between mobile subscriber, there is not cooperation in for example, V-MIMO in Long Term Evolution (LTE).For following V-MIMO, the cooperation between user will become possibility.
The V-MIMO transmission plan existing is at present mainly the throughput that maximizes grouping user, in a grouping, any user uses the priority of subchannel identical (this subchannel is to divide according to the user who exists at present), this is inequitable for the user who has existed in grouping, this is due to the interference Adding User, and existing user's throughput may be less than actual demand.Based on the consideration of equity to existing user, when design V-MIMO transmission plan, first meet the requirement of existing user throughput, therefore need user to be divided into two groups: existing user and the user who newly increases.While not using V-MIMO, existing user has occupied subchannel individually; Use when V-MIMO existing user and newly increase user and divide and use in groups identical subchannel grouping to send data simultaneously.
Notice for non-cooperation and cooperation V-MIMO transmission, our transmission plan is different from the every MIMO transmission plan that antenna power is limited in following several respects: on the one hand, in non-cooperation V-MIMO transmission, user distribution is in wireless network, and they send data to base station independently; For V-MIMO transmission, the data from different user need to be distinguished in base station.In MIMO transmission, every antenna power is limited, and all users configure identical antenna, and the data of different antennae can and send to receiving terminal at transmitting terminal combined decoding like this, likely further increase the throughput of system compared with V-MIMO.On the other hand, if apply cooperation mode in V-MIMO transmission, need to estimate the channel status of different user, this may cause the overhead of time frame or bandwidth, but, for MIMO transmission, because all antenna correspondences identical user, therefore there is no need to estimate the channel status between all antennas.
In addition, due to the time variation of channel, be difficult to ensure definite QoS in wireless network real-time Transmission process, therefore, for radio communication real-time, the QoS (QoS exponential sum available capacity) in statistical significance becomes an important alternative.Available capacity is defined as the supported maximum constant arrival rate of service speed, and this service speed can ensure the QoS index θ of regulation, and available capacity has characterized the throughput of system of different delay-QoS demand.For real-time traffic, for example video conference, need to guarantee strict the limit of time delay, and available capacity now refers to outage capacity; On the other hand, for non-real-time traffic, but for example transfer of data needs very high throughput delay requirement very loose, and available capacity now refers to ergodic capacity.What the work existing about V-MIMO at present was mainly considered is non-real-time traffic, very loose to delay requirement.In addition, in former work about how to ensure in wireless network V-MIMO and assess QoS and deeply understand and research thoroughly.
Summary of the invention
The technical problem to be solved in the present invention is to overcome above-mentioned defect, a kind of available capacity that can maximize the available capacity that newly increases user and ensure simultaneously existing user is provided, by Simulation Evaluation in non-cooperation/cooperation V-MIMO system in wireless many antennas virtual MIMO of power allocation scheme based on maximizing available capacity power allocation scheme.
For addressing the above problem, the technical solution adopted in the present invention is:
In a kind of wireless many antennas virtual MIMO based on maximizing available capacity power allocation scheme, it is characterized in that: for mimo system in wireless network, the user who newly increases is used to power control techniques, restriction newly increases the interference that user brings existing user and maintains an acceptable level, thereby has ensured existing user's available capacity; By the optimization problem of guaranteed qos in cooperation V-MIMO, obtain the power allocation scheme of the QoS driving that newly increases user; In wireless network cooperation V-MIMO half-duplex and full duplex system, the optimization problem of having constructed guaranteed qos in cooperation V-MIMO is strict protruding optimization problem; For solving above-mentioned strict protruding optimization problem, the QoS driving power allocative decision that has proposed to be applicable to existing user He newly increased user, this scheme can maximize the available capacity that newly increases user and ensure simultaneously existing user's available capacity.
As a kind of technical scheme of optimization, it is characterized in that: by existing user with newly increase user grouping and send data to base station, base station configuration N root antenna, reception antenna number is B n(1≤n≤N); Existing user and the number of users newly increasing are respectively A 1and A 2, they share identical subchannel.
As a kind of technical scheme of optimization, it is characterized in that: the statistics the limit of time delay of guaranteed qos in V-MIMO transmission;
For uplink, the data of oneself are sent to base station by existing user, and in order to increase the degree of freedom and spatial multiplexing gain, the user who newly increases and existing user use identical subchannel, and forming virtual aerial array with existing user, this has caused the phase mutual interference between user;
According to worst error criterion, for stochastic variable Q (∞) queue length Q (t), convergence meets
- lim Q th → ∞ log ( Pr { Q ( ∞ ) > Q th } ) Q th = θ
Q in above formula threpresent queue length boundary line, parameter θ >0 is real number, θ is called again QoS index, represent the index rate of fading of time delay boundary line QoS violation rate, θ is larger, and expression rate of fading is faster, mean that system is stricter to the requirement of QoS, the less expression rate of fading of θ is slower, means that system is more lax to qos requirement; θ → ∞ means that system can't stand any delay, is exactly that system is very strict to qos requirement, and contrary θ → 0 means that system can tolerate any time delay, is exactly that system is lax to qos requirement.
As a kind of technical scheme of optimization, it is characterized in that: cooperation V-MIMO transmission comprises:
1), cooperation transmission pattern:
Under collaboration mode, set up the time slot allocation scheme of user in V-MIMO group, this scheme is described below:
Normalization one frame duration is 1 and a frame is divided into two states: state 1, and existing user is transmitted to base station as via node by the user's who newly increases signal, supposes that the duration is μ; State 2, newly increase and user is transmitted to base station as via node by existing user's signal, the duration is (1-μ); In cooperation V-MIMO transmission, use amplification forwarding agreement, in this agreement, via node simply amplifies reception signal and is then transmitted to destination; Convenient for formulation, definition cooperation CSI and QCSI are respectively with because existing user and the user who newly increases exist cooperation, they control transmitted power dynamically by instantaneous QCSI;
2), cooperation half-duplex and the full duplex that cooperates:
In the time of duration μ and (1-μ), can use half-or full-duplex mode transfer to via node; In the time using half-duplex transmission, first half frame time via node reception sources node signal, signal is transmitted to destination node by later half frame time via node; When using when full duplex transmission, the signal of via node reception sources node be transmitted to destination node in whole time frame;
3), instantaneous transmission speed under half-duplex
Under half-duplex AF agreement, use time slot allocation scheme, can obtain the user who newly increases and the existing user one frame instantaneous transmission speed of base station end, use respectively with be expressed as follows:
R 2 H ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = μBT 2 log 2 ( 1 + 2 P 2 ( v ~ ) γ 2 + 4 P 2 ( v ~ ) γ 3 P 1 ( v ~ ) γ 2 2 P 2 ( v ~ ) γ 3 + 2 P 1 ( v ~ ) γ 1 + σ 2 )
R 1 H ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = ( 1 - μ ) μBT 2 log 2 ( 1 + 2 P 1 ( v ~ ) γ 1 + 4 P 1 ( v ~ ) γ 3 P 2 ( v ~ ) γ 2 2 P 1 ( v ~ ) γ 3 + 2 P 2 ( v ~ ) γ 2 + σ 2 ) ,
In above formula, existing user with the instantaneous through-put power that newly increases user is with in order to keep identical mean consumption power with full duplex transmission, the user who newly increases and existing user use in half-duplex transmission with
4), full duplex instantaneous transmission speed:
Under full duplex AF agreement, use time slot allocation scheme, can obtain the user who newly increases and the existing user one frame instantaneous transmission speed of base station end, use respectively with be expressed as follows:
R 2 F ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = μBT 2 log 2 ( 1 + 2 P 2 ( v ~ ) γ 2 + δ ~ P 2 ( v ~ ) γ 3 P 1 ( v ~ ) γ 1 P 2 ( v ~ ) γ 3 + δ ~ P 1 ( v ~ ) γ 1 + σ 2 )
R 1 F ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = ( 1 - μ ) BT log 2 ( 1 + P 1 ( v ~ ) γ 1 + δ ~ P 1 ( v ~ ) γ 3 P 2 ( v ~ ) γ 2 P 1 ( v ~ ) γ 3 + δ ~ P 2 ( v ~ ) γ 2 + σ 2 ) ,
The user who newly increases in above formula and existing user's instantaneous through-put power is with be defined as rain scavenging coefficient be used for describing the impact of self-interference in full duplex transmission, value is determined by many factors, comprises bandwidth, antenna configuration and transmitted power; while trending towards 0 expression full duplex transmission, self-interference impact is very large; while trending towards 1 expression full duplex transmission, self-interference impact is almost negligible.
As a kind of technical scheme of optimization, it is characterized in that: the power allocation scheme that in the non-cooperation of wireless network V-MIMO, QoS drives, model the optimization problem of guaranteed qos in non-cooperation V-MIMO, this problem is the available capacity that maximizes the user who newly increases under the available capacity of guaranteeing existing user, has then set up the QoS driving power allocative decision of guaranteed qos in non-cooperation V-MIMO.
As a kind of technical scheme of optimization, it is characterized in that:
QoS driving power allocative decision in the non-cooperation of wireless network half-duplex and full duplex V-MIMO: respectively by the optimization problem of having set up guaranteed qos in wireless network half-duplex and full duplex V-MIMO transmission, these two problems are all Strict Convex optimization problems, have then set up respectively QoS driving power allocative decision in the non-cooperation of wireless network half-duplex and full duplex V-MIMO.
Owing to having adopted technique scheme, compared with prior art, the present invention has gone out in the non-cooperation/cooperation of wireless network V-MIMO system the optimal power allocation scheme of supporting statistics QoS, and target is the available capacity that maximizes the available capacity that newly increases user and ensure simultaneously existing user.For mimo system in wireless network, the user who newly increases is used to power control techniques, restriction newly increases the interference that user brings existing user and maintains an acceptable level, thereby has ensured existing user's available capacity.By the cooperate optimization problem of guaranteed qos in V-MIMO of solution, obtain newly increasing the power allocation scheme that user's QoS drives.In wireless network cooperation V-MIMO half-duplex and full duplex system, the optimization problem of having constructed guaranteed qos in cooperation V-MIMO is strict protruding optimization problem.For this reason, the QoS driving power allocative decision that has proposed in the present invention to be applicable to existing user and newly increase user, this scheme can maximize the available capacity that newly increases user and ensure simultaneously existing user's available capacity, by Simulation Evaluation the power allocation scheme in non-cooperation/cooperation V-MIMO system.
Embodiment
Embodiment:
In a kind of wireless many antennas virtual MIMO based on maximizing available capacity power allocation scheme: for mimo system in wireless network, the user who newly increases is used to power control techniques, restriction newly increases the interference that user brings existing user and maintains an acceptable level, thereby has ensured existing user's available capacity; By the optimization problem of guaranteed qos in cooperation V-MIMO, obtain the power allocation scheme of the QoS driving that newly increases user; In wireless network cooperation V-MIMO half-duplex and full duplex system, the optimization problem of having constructed guaranteed qos in cooperation V-MIMO is strict protruding optimization problem; For solving above-mentioned strict protruding optimization problem, the QoS driving power allocative decision that has proposed to be applicable to existing user He newly increased user, this scheme can maximize the available capacity that newly increases user and ensure simultaneously existing user's available capacity.
By existing user with newly increase user grouping and send data to base station, base station configuration N root antenna, reception antenna number is Bn (1≤n≤N); Existing user and the number of users newly increasing are respectively A 1and A 2, they share identical subchannel.
In such scheme, the statistics the limit of time delay of guaranteed qos in V-MIMO transmission;
For uplink, the data of oneself are sent to base station by existing user, and in order to increase the degree of freedom and spatial multiplexing gain, the user who newly increases and existing user use identical subchannel, and forming virtual aerial array with existing user, this has caused the phase mutual interference between user;
According to worst error criterion, for stochastic variable Q (∞) queue length Q (t), convergence meets
- lim Q th → ∞ log ( Pr { Q ( ∞ ) > Q th } ) Q th = θ
Q in above formula threpresent queue length boundary line, parameter θ >0 is real number, θ is called again QoS index, represent the index rate of fading of time delay boundary line QoS violation rate, θ is larger, and expression rate of fading is faster, mean that system is stricter to the requirement of QoS, the less expression rate of fading of θ is slower, means that system is more lax to qos requirement; θ → ∞ means that system can't stand any delay, is exactly that system is very strict to qos requirement, and contrary θ → 0 means that system can tolerate any time delay, is exactly that system is lax to qos requirement.
In such scheme, cooperation V-MIMO transmission comprises:
1), cooperation transmission pattern:
Under collaboration mode, set up the time slot allocation scheme of user in V-MIMO group, this scheme is described below:
Normalization one frame duration is 1 and a frame is divided into two states: state 1, and existing user is transmitted to base station as via node by the user's who newly increases signal, supposes that the duration is μ; State 2, newly increase and user is transmitted to base station as via node by existing user's signal, the duration is (1-μ); In cooperation V-MIMO transmission, use amplification forwarding agreement, in this agreement, via node simply amplifies reception signal and is then transmitted to destination; Convenient for formulation, definition cooperation CSI and QCSI are respectively with because existing user and the user who newly increases exist cooperation, they control transmitted power dynamically by instantaneous QCSI.
2), cooperation half-duplex and the full duplex that cooperates:
In the time of duration μ and (1-μ), can use half-or full-duplex mode transfer to via node; In the time using half-duplex transmission, first half frame time via node reception sources node signal, signal is transmitted to destination node by later half frame time via node; When using when full duplex transmission, the signal of via node reception sources node be transmitted to destination node in whole time frame.
3), instantaneous transmission speed under half-duplex
Under half-duplex AF agreement, use time slot allocation scheme, can obtain the user who newly increases and the existing user one frame instantaneous transmission speed of base station end, use respectively with be expressed as follows:
R 2 H ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = μBT 2 log 2 ( 1 + 2 P 2 ( v ~ ) γ 2 + 4 P 2 ( v ~ ) γ 3 P 1 ( v ~ ) γ 2 2 P 2 ( v ~ ) γ 3 + 2 P 1 ( v ~ ) γ 1 + σ 2 )
R 1 H ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = ( 1 - μ ) μBT 2 log 2 ( 1 + 2 P 1 ( v ~ ) γ 1 + 4 P 1 ( v ~ ) γ 3 P 2 ( v ~ ) γ 2 2 P 1 ( v ~ ) γ 3 + 2 P 2 ( v ~ ) γ 2 + σ 2 ) ,
In above formula, existing user with the instantaneous through-put power that newly increases user is with in order to keep identical mean consumption power with full duplex transmission, the user who newly increases and existing user use in half-duplex transmission with
4), full duplex instantaneous transmission speed:
Under full duplex AF agreement, use time slot allocation scheme, can obtain the user who newly increases and the existing user one frame instantaneous transmission speed of base station end, use respectively with be expressed as follows:
R 2 F ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = μBT 2 log 2 ( 1 + 2 P 2 ( v ~ ) γ 2 + δ ~ P 2 ( v ~ ) γ 3 P 1 ( v ~ ) γ 1 P 2 ( v ~ ) γ 3 + δ ~ P 1 ( v ~ ) γ 1 + σ 2 )
R 1 F ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = ( 1 - μ ) BT log 2 ( 1 + P 1 ( v ~ ) γ 1 + δ ~ P 1 ( v ~ ) γ 3 P 2 ( v ~ ) γ 2 P 1 ( v ~ ) γ 3 + δ ~ P 2 ( v ~ ) γ 2 + σ 2 ) ,
The user who newly increases in above formula and existing user's instantaneous through-put power is with be defined as rain scavenging coefficient be used for describing the impact of self-interference in full duplex transmission, value is determined by many factors, comprises bandwidth, antenna configuration and transmitted power; while trending towards 0 expression full duplex transmission, self-interference impact is very large; while trending towards 1 expression full duplex transmission, self-interference impact is almost negligible.
In such scheme, the power allocation scheme that in the non-cooperation of wireless network V-MIMO, QoS drives, model the optimization problem of guaranteed qos in non-cooperation V-MIMO, this problem is the available capacity that maximizes the user who newly increases under the available capacity of guaranteeing existing user, has then set up the QoS driving power allocative decision of guaranteed qos in non-cooperation V-MIMO.
The optimization problem conception of guaranteed qos in non-cooperation V-MIMO transmission
Existing user and newly increase user's available capacity in non-cooperation V-MIMO transmission, is expressed as C 2S(P 11), P 2(υ), θ) and C 1S(P 11), P 2(υ), θ), as follows:
For fixing QoS index θ, our target is to guarantee C 1S(P 11), P 2(υ), θ) maximize C when demand 2S(P 11), P 2(υ), θ), the optimization problem that therefore can construct non-cooperation V-MIMO transmission guaranteed qos is as follows:
P1:
st.: 1 ) . C 1 S ( P 1 ( v 1 ) , P 2 ( v ) , θ ) ≥ C _ 1 ;
3).P 2(v)≤P peak,2,
P in above formula ave, 1and P peak, 2represent to newly increase respectively user's average power and the constraints of peak value, the constraints 1 in P1) represent that existing user's available capacity is more than or equal to the flow load of use constraints 2) and 3) represent that respectively newly increasing user need meet average power and peak power limitations.
In such scheme, QoS driving power allocative decision in the non-cooperation of wireless network half-duplex and full duplex V-MIMO: respectively by the optimization problem of having set up guaranteed qos in wireless network half-duplex and full duplex V-MIMO transmission, these two problems are all Strict Convex optimization problems, have then set up respectively QoS driving power allocative decision in the non-cooperation of wireless network half-duplex and full duplex V-MIMO.
Owing to having adopted technique scheme, compared with prior art, the present invention has gone out in the non-cooperation/cooperation of wireless network V-MIMO system the optimal power allocation scheme of supporting statistics QoS, and target is the available capacity that maximizes the available capacity that newly increases user and ensure simultaneously existing user.For mimo system in wireless network, the user who newly increases is used to power control techniques, restriction newly increases the interference that user brings existing user and maintains an acceptable level, thereby has ensured existing user's available capacity.By the cooperate optimization problem of guaranteed qos in V-MIMO of solution, obtain newly increasing the power allocation scheme that user's QoS drives.In wireless network cooperation V-MIMO half-duplex and full duplex system, the optimization problem of having constructed guaranteed qos in cooperation V-MIMO is strict protruding optimization problem.For this reason, the QoS driving power allocative decision that has proposed in the present invention to be applicable to existing user and newly increase user, this scheme can maximize the available capacity that newly increases user and ensure simultaneously existing user's available capacity, by Simulation Evaluation the power allocation scheme in non-cooperation/cooperation V-MIMO system.
The present invention is not limited to above-mentioned preferred implementation, and anyone should learn the structural change of making under enlightenment of the present invention, and every have identical or akin technical scheme with the present invention, all belongs to protection scope of the present invention.

Claims (6)

  1. In wireless many antennas virtual MIMO based on maximizing available capacity power allocation scheme, it is characterized in that: for mimo system in wireless network, the user who newly increases is used to power control techniques, restriction newly increases the interference that user brings existing user and maintains an acceptable level, thereby has ensured existing user's available capacity; By the optimization problem of guaranteed qos in cooperation V-MIMO, obtain the power allocation scheme of the QoS driving that newly increases user; In wireless network cooperation V-MIMO half-duplex and full duplex system, the optimization problem of having constructed guaranteed qos in cooperation V-MIMO is strict protruding optimization problem; For solving above-mentioned strict protruding optimization problem, the QoS driving power allocative decision that has proposed to be applicable to existing user He newly increased user, this scheme can maximize the available capacity that newly increases user and ensure simultaneously existing user's available capacity.
  2. In wireless many antennas virtual MIMO according to claim 1 based on maximizing available capacity power allocation scheme, it is characterized in that: by existing user with newly increase user grouping and send data to base station, base station configuration N root antenna, reception antenna number is B n(1≤n≤N); Existing user and the number of users newly increasing are respectively A 1and A 2, they share identical subchannel.
  3. In wireless many antennas virtual MIMO according to claim 2 based on maximizing available capacity power allocation scheme, it is characterized in that: the statistics the limit of time delay of guaranteed qos in V-MIMO transmission;
    For uplink, the data of oneself are sent to base station by existing user, and in order to increase the degree of freedom and spatial multiplexing gain, the user who newly increases and existing user use identical subchannel, and forming virtual aerial array with existing user, this has caused the phase mutual interference between user;
    According to worst error criterion, for stochastic variable Q (∞) queue length Q (t), convergence meets
    - lim Q th → ∞ log ( Pr { Q ( ∞ ) > Q th } ) Q th = θ
    Q in above formula threpresent queue length boundary line, parameter θ >0 is real number, θ is called again QoS index, represent the index rate of fading of time delay boundary line QoS violation rate, θ is larger, and expression rate of fading is faster, mean that system is stricter to the requirement of QoS, the less expression rate of fading of θ is slower, means that system is more lax to qos requirement; θ → ∞ means that system can't stand any delay, is exactly that system is very strict to qos requirement, and contrary θ → 0 means that system can tolerate any time delay, is exactly that system is lax to qos requirement.
  4. In wireless many antennas virtual MIMO according to claim 2 based on maximizing available capacity power allocation scheme, it is characterized in that: cooperation V-MIMO transmission comprises:
    1), cooperation transmission pattern:
    Under collaboration mode, set up the time slot allocation scheme of user in V-MIMO group, this scheme is described below:
    Normalization one frame duration is 1 and a frame is divided into two states: state 1, and existing user is transmitted to base station as via node by the user's who newly increases signal, supposes that the duration is μ; State 2, newly increase and user is transmitted to base station as via node by existing user's signal, the duration is (1-μ); In cooperation V-MIMO transmission, use amplification forwarding agreement, in this agreement, via node simply amplifies reception signal and is then transmitted to destination; Convenient for formulation, definition cooperation CSI and QCSI are respectively with because existing user and the user who newly increases exist cooperation, they control transmitted power dynamically by instantaneous QCSI;
    2), cooperation half-duplex and the full duplex that cooperates:
    In the time of duration μ and (1-μ), can use half-or full-duplex mode transfer to via node; In the time using half-duplex transmission, first half frame time via node reception sources node signal, signal is transmitted to destination node by later half frame time via node; When using when full duplex transmission, the signal of via node reception sources node be transmitted to destination node in whole time frame;
    3), instantaneous transmission speed under half-duplex
    Under half-duplex AF agreement, use time slot allocation scheme, can obtain the user who newly increases and the existing user one frame instantaneous transmission speed of base station end, use respectively with be expressed as follows:
    R 2 H ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = μBT 2 log 2 ( 1 + 2 P 2 ( v ~ ) γ 2 + 4 P 2 ( v ~ ) γ 3 P 1 ( v ~ ) γ 1 2 P 2 ( v ~ ) γ 3 + 2 P 1 ( v ~ ) γ 1 + σ 2 )
    R 1 H ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = ( 1 - μ ) μBT 2 log 2 ( 1 + 2 P 1 ( v ~ ) γ 1 + 4 P 1 ( v ~ ) γ 3 P 2 ( v ~ ) γ 2 2 P 1 ( v ~ ) γ 3 + 2 P 2 ( v ~ ) γ 2 + σ 2 ) ,
    In above formula, user 1 and user's 2 instantaneous through-put power is with in order to keep identical mean consumption power with full duplex transmission, the user who newly increases and existing user use in half-duplex transmission with
    4), full duplex instantaneous transmission speed:
    Under full duplex AF agreement, use time slot allocation scheme, can obtain the user who newly increases and the existing user one frame instantaneous transmission speed of base station end, use respectively with be expressed as follows:
    R 2 F ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = μBT 2 log 2 ( 1 + 2 P 2 ( v ~ ) γ 2 + δ ~ P 2 ( v ~ ) γ 3 P 1 ( v ~ ) γ 1 P 2 ( v ~ ) γ 3 + δ ~ P 1 ( v ~ ) γ 1 + σ 2 )
    R 1 F ( P 1 ( v ~ ) , P 2 ( v ~ ) ) = ( 1 - μ ) BT log 2 ( 1 + P 1 ( v ~ ) γ 1 + δ ~ P 1 ( v ~ ) γ 3 P 2 ( v ~ ) γ 2 P 1 ( v ~ ) γ 3 + δ ~ P 2 ( v ~ ) γ 2 + σ 2 ) ,
    The user who newly increases in above formula and existing user's instantaneous through-put power is with be defined as rain scavenging coefficient be used for describing the impact of self-interference in full duplex transmission, value is determined by many factors, comprises bandwidth, antenna configuration and transmitted power; while trending towards 0 expression full duplex transmission, self-interference impact is very large; while trending towards 1 expression full duplex transmission, self-interference impact is almost negligible.
  5. In wireless many antennas virtual MIMO according to claim 2 based on maximizing available capacity power allocation scheme, it is characterized in that: the power allocation scheme that in the non-cooperation of wireless network V-MIMO, QoS drives, model the optimization problem of guaranteed qos in non-cooperation V-MIMO, this problem is the available capacity that maximizes the user who newly increases under the available capacity of guaranteeing existing user, has then set up the QoS driving power allocative decision of guaranteed qos in non-cooperation V-MIMO.
  6. In wireless many antennas virtual MIMO according to claim 2 based on maximizing available capacity power allocation scheme, it is characterized in that:
    QoS driving power allocative decision in the non-cooperation of wireless network half-duplex and full duplex V-MIMO: respectively by the optimization problem of having set up guaranteed qos in wireless network half-duplex and full duplex V-MIMO transmission, these two problems are all Strict Convex optimization problems, have then set up respectively QoS driving power allocative decision in the non-cooperation of wireless network half-duplex and full duplex V-MIMO.
CN201410206359.4A 2014-05-15 2014-05-15 Power distribution scheme based on maximum effective capacity and applied to wireless multi-antenna virtual MIMO Pending CN103974404A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410206359.4A CN103974404A (en) 2014-05-15 2014-05-15 Power distribution scheme based on maximum effective capacity and applied to wireless multi-antenna virtual MIMO

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410206359.4A CN103974404A (en) 2014-05-15 2014-05-15 Power distribution scheme based on maximum effective capacity and applied to wireless multi-antenna virtual MIMO

Publications (1)

Publication Number Publication Date
CN103974404A true CN103974404A (en) 2014-08-06

Family

ID=51243314

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410206359.4A Pending CN103974404A (en) 2014-05-15 2014-05-15 Power distribution scheme based on maximum effective capacity and applied to wireless multi-antenna virtual MIMO

Country Status (1)

Country Link
CN (1) CN103974404A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106507464A (en) * 2016-12-14 2017-03-15 西安交通大学 Optimal power allocation method based on effective and safe capacity
CN107483095A (en) * 2017-06-27 2017-12-15 浙江大学 A kind of extensive nonopiate multi-access method assisted based on more relayings
WO2019019984A1 (en) * 2017-07-27 2019-01-31 Huawei Technologies Co., Ltd. Method and apparatus for interference cancellation in full-duplex multi-cell networks
CN109450572A (en) * 2018-10-30 2019-03-08 电子科技大学 The interference channel transmission strategy and power distribution method of transmitting terminal full duplex collaboration
CN111901862A (en) * 2020-07-07 2020-11-06 西安交通大学 User clustering and power distribution method, device and medium based on deep Q network
CN116318288A (en) * 2023-05-23 2023-06-23 江苏集萃移动通信技术研究所有限公司 MIMO full duplex power distribution method based on intelligent reflecting surface

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009134742A1 (en) * 2008-04-28 2009-11-05 Nortel Networks Limited Method and apparatus for candidate list generation for uplink v-mimo
CN102273295A (en) * 2008-11-13 2011-12-07 北电网络有限公司 Method and system for reduced complexity channel estimation and interference cancellation for V-MIMO demodulation
CN102487549A (en) * 2010-12-06 2012-06-06 上海贝尔股份有限公司 Method and device for scheduling user equipment in MIMO (multiple-input multiple-output) wireless communication system
CN103298084A (en) * 2013-05-17 2013-09-11 山东大学 Coordinated multi-relay selection and power distribution method based on energy efficiency criteria

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009134742A1 (en) * 2008-04-28 2009-11-05 Nortel Networks Limited Method and apparatus for candidate list generation for uplink v-mimo
CN102273295A (en) * 2008-11-13 2011-12-07 北电网络有限公司 Method and system for reduced complexity channel estimation and interference cancellation for V-MIMO demodulation
CN102487549A (en) * 2010-12-06 2012-06-06 上海贝尔股份有限公司 Method and device for scheduling user equipment in MIMO (multiple-input multiple-output) wireless communication system
CN103298084A (en) * 2013-05-17 2013-09-11 山东大学 Coordinated multi-relay selection and power distribution method based on energy efficiency criteria

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
WENCHI CHENG,ET AL.: "QoS-Aware Power Allocations for Maximizing Effective Capacity Over Virtual-MIMO Wireless Networks", 《IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106507464A (en) * 2016-12-14 2017-03-15 西安交通大学 Optimal power allocation method based on effective and safe capacity
CN106507464B (en) * 2016-12-14 2019-11-08 西安交通大学 Optimal power allocation method based on effective and safe capacity
CN107483095A (en) * 2017-06-27 2017-12-15 浙江大学 A kind of extensive nonopiate multi-access method assisted based on more relayings
CN107483095B (en) * 2017-06-27 2020-03-31 浙江大学 Large-scale non-orthogonal multi-access method based on multi-relay assistance
US11095327B2 (en) 2017-07-27 2021-08-17 Huawei Technologies Co., Ltd. Method and apparatus for interference cancellation in full-duplex multi-cell networks
WO2019019984A1 (en) * 2017-07-27 2019-01-31 Huawei Technologies Co., Ltd. Method and apparatus for interference cancellation in full-duplex multi-cell networks
US10320431B2 (en) 2017-07-27 2019-06-11 Huawei Technologies Co., Ltd. Method and apparatus for interference cancellation in full-duplex multi-cell networks
CN109450572A (en) * 2018-10-30 2019-03-08 电子科技大学 The interference channel transmission strategy and power distribution method of transmitting terminal full duplex collaboration
CN109450572B (en) * 2018-10-30 2021-04-30 电子科技大学 Interference channel transmission strategy and power distribution method for full duplex cooperation of sending end
CN111901862B (en) * 2020-07-07 2021-08-13 西安交通大学 User clustering and power distribution method, device and medium based on deep Q network
CN111901862A (en) * 2020-07-07 2020-11-06 西安交通大学 User clustering and power distribution method, device and medium based on deep Q network
CN116318288A (en) * 2023-05-23 2023-06-23 江苏集萃移动通信技术研究所有限公司 MIMO full duplex power distribution method based on intelligent reflecting surface
CN116318288B (en) * 2023-05-23 2023-08-04 江苏集萃移动通信技术研究所有限公司 MIMO full duplex power distribution method based on intelligent reflecting surface

Similar Documents

Publication Publication Date Title
CN101610135B (en) Distributed antenna system, data transmission method thereof and central controller
JP5557712B2 (en) Radio base station apparatus performing antenna transmission power control
CN103974404A (en) Power distribution scheme based on maximum effective capacity and applied to wireless multi-antenna virtual MIMO
JP5516721B2 (en) Wireless communication system
CN108886373A (en) The method and apparatus of resource and power distribution are carried out in nonopiate uplink
CN108811097A (en) Resource indicating method and communication equipment
CN103098508A (en) Distributed antenna system and wireless communication method used in said system
CN103517347A (en) QoS guarantee-counted D2D (Device-to-Device)-cellular communication power allocation scheme under wireless network
CN110224796B (en) Method and device for sending and receiving uplink control information
CN102291842B (en) Virtual MIMO pairing method taking user QoS into account
CN102013905A (en) Cooperative scheduling method and equipment
US10848975B2 (en) System and method of providing UE capability for support of security protection on bearers
CN102545987B (en) Multicell self-adaption cooperative transmission method on basis of delayed feedback
CN105657839A (en) Power distribution method for full-duplex multi-carrier safety system based on QoS requirements
CN102882570B (en) Optimum transceiving combined processing method for communication among equipment in mobile communication network
US20170104659A1 (en) Systems and Methods for a Sounding Frame in an IEEE 802.11ax Compliant Network
US10136440B2 (en) System and method for power indications
CN105188147A (en) LTE-A system full duplex resource allocation method based on power control
CN103546253A (en) Data transmission method and data transmission system
Na et al. Interference alignment based dynamic TDD for small cells
CN105050196A (en) Multi-user communication scheduling system and method based on full duplex relay caching
CN112994759B (en) Cooperative relay D2D communication method based on OFDM
CN107294574A (en) The method and device of multiple transmission point data transfer
CN105072686A (en) Wireless resource distribution method based on OFDMA relay network
CN103024821B (en) Multi-user-collaboration multi-point transmission method and device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20140806