CN101729105A - Power control structure and method thereof based on game theory model in network - Google Patents
Power control structure and method thereof based on game theory model in network Download PDFInfo
- Publication number
- CN101729105A CN101729105A CN200810201373A CN200810201373A CN101729105A CN 101729105 A CN101729105 A CN 101729105A CN 200810201373 A CN200810201373 A CN 200810201373A CN 200810201373 A CN200810201373 A CN 200810201373A CN 101729105 A CN101729105 A CN 101729105A
- Authority
- CN
- China
- Prior art keywords
- node
- message
- adjacent node
- interference
- network
- 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
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses power control structure and method thereof based on a game theory model in a network. The structure is used for calculating a launching power adopted by a node to send a message to an adjacent node in the network and comprises an SNR calculation module and a power control module of a physical layer as well as a received message processing module and an adjacent node information table of a network layer. The method comprises the following steps of establishing the adjacent node information table, and recording an ID of the adjacent node and an interference power value of the adjacent node, a distance between the adjacent node and the node and the profit of sending the message by adopting the launching power; and obtaining an interference value of the adjacent node corresponding to the maximum of the profit of sending the message by adopting the launching power and a distance value between the adjacent node and the node according to the adjacent node information table when the node sends the message, and calculating the adopted launching power. In the premise of satisfying the maximization of network capacity and the minimization of a network radius, the invention reduces the launching power of the node as much as possible so as to reduce the energy consumption of the nodes and prolong the survival time of the network.
Description
[technical field]
The invention relates in a kind of network based on the power control structure and the method thereof of game theoretical model, clearer and more definite, be about in a kind of Ad of being applied to Hoc network based on the power control structure and the method thereof of game theoretical model.
[background technology]
Power control is as a key technology in the wireless Ad hoc network, for use and managing radio resources play irreplaceable effect effectively.Aspect power control, many algorithms and agreement have been proposed at present.In wireless Ad hoc network, because the size of the transmitting power of node has determined that those nodes can be received signal in the network, thereby have influence on the connectedness of network, simultaneously because the existence of hidden terminal, the size of the transmitting power of node also has influence on because the size of the interference that hidden terminal brought, therefore the transmitting power adjustment to node will produce significant effects to the performance of whole network, in the design power control algolithm, must the influence to network performance that bring thus be taken in.
In Ad hoc network, how limited at node energy power is controlled its essence is exactly, there is decay in channel, under the conditions such as shared channel, utilize the limited network information, by adjusting the transmitting power of node, make network satisfy the target of connectedness, maximum capacity, network radius minimum, this is a very difficult problem.If use C
iExpression link l
i(l
i∈ E ') capacity or transmission rate, then network capacity or its bottleneck bandwidth can be expressed as
If the distance between node i and node j can be used jumping figure h
IjExpression is represented jumping figure set between node, H={ with H
Ij, i, j ∈ V, then network radius R
GCan be expressed as R
G=min (H), e
iThe dump energy of expression node i, then the Mathematical Modeling of power control problem can be described as:
(1)
Wherein, e
0Be the residue energy of node thresholding, when residue energy of node is worth less than this, node will be closed its wireless receiving module.
The method that the focus of present most power control algorithm or agreement research all concentrates on by reducing node emission message power reaches purpose of energy saving, and thinks by reducing the purpose that the node transmitting power can reduce phase mutual interference between node and increase network capacity.But recent studies show that is really not so.Document Behzad, A., Rubin, I..Impact of power control on the performanceof ad hoc wireless networks.in Proc.INFOCOM 2005, Miami, FL, among the USA.2005.102-113, Behzad and Rubin study the influence of network maximum throughput power control in the Ad hoc network, and the throughput and node distribution, traffic load and the business model that draw between source node and destination node are irrelevant, can make the throughput that obtains maximum between source node and destination node by increasing the node transmitting power.Document Qiang Sun, Layuan Li, Niansheng Chen, SadiaAziz, Impact of Power Control on Wireless Ad Hoc Network Capacity.Workshop Proceedings of the Third IEEE Internat ional Conference onDi stributed Comput ing in Sensor Systems (DCOSS 07), Santa Fe, NewMexico, USA.2007 has analyzed the influence of the node emission interference that message produced to network capacity among the pp.73-82..The result shows that the transmitting power that increases node not only can reduce the node interference but also can improve network capacity.Because Ad hoc network does not have the support of base station, communication modes adopts the method for multi-hop, and the network topology structure dynamic change, and node is difficult to obtain the relevant information of other node in the network, therefore, each very natural node will adopt the strategy that can make its maximum revenue.
To sum up, there is following shortcoming and defect in prior art:
(1) do not consider the full distributed design feature of Ad hoc network, and adopt centralized algorithm to realize power control;
(2) do not consider power control to network-in-dialing, the influence of network performances such as network capacity;
(3) revenue function proposes according to specific channel model (as orthogonal CDMA or quadrature FDMA channel), can not be general.
Game theory is used to the different aspect of computer network and cordless communication network is studied as a kind of instrument in recent years, and with the problem that solves in traditional cable network.Because in wireless cellular network, the global information of network can obtain by the base station, therefore can adopt centralized algorithm.And for Ad hoc network, the network environment of its dynamic change, it is very difficult making node will obtain network global information, to such an extent as to be unpractical.Therefore, mobile node can only decide according to the local message (information of its adjacent node) of network own currently should take for which kind of behavior, and certain behavior of mobile node must bring certain result to self or to whole network.If we represent this result with effectiveness, each internodal interaction can be described with the non-cooperative game model in the Ad hoc network so, and promptly each node selects a kind of action to make own maximum revenue according to the current network environment.
Therefore, the present invention proposes a kind of non-cooperative game theory of using and solves power control problem in the Ad hoc network.
[summary of the invention]
The purpose of this invention is to provide in a kind of network power control structure and method thereof based on game theoretical model, it satisfies under the prerequisite of network capacity maximization and network radius minimum, reduce the transmitting power of node as far as possible, thereby reduce the energy consumption of node, prolong the life span of network, and have versatility.
For realizing aforementioned purpose of the present invention, the invention provides in a kind of network power control structure based on game theoretical model, be used to calculate a node and send the transmitting power that message should adopt to an adjacent node, this structure comprises: the SNR computing module and the power control module that are positioned at physical layer, and network layer receive message processing module (MPM), it is characterized in that: the information interchange of this structure is to stride a layer information interchange, this structure also comprises the adjacent node information table that is positioned at network layer, is used to write down described adjacent node ID, the interference power values of adjacent node, adjacent node is with this internodal distance and adopt this transmitting power to send the income of message; The SNR computing module judges whether the message that adjacent node sends to this node is effective message, if effective message is then uploaded message frame; Receive message processing module (MPM) in order to interference power values, adjacent node and this internodal distance of the described adjacent node ID in the analytic message, adjacent node and adopt this transmitting power to send the information of the income of message, and with the information stores that is resolved to the adjacent node information table; Power control module calculates this node according to the interference power values of this adjacent node and adjacent node and this internodal distance value and sends the transmitting power that message should adopt to adjacent node.
The present invention also provides in a kind of network based on the Poewr control method of game theoretical model, is used for computing network one node and sends the transmitting power that message should adopt to adjacent node, and it is characterized in that: this method may further comprise the steps:
Set up the adjacent node information table in network layer, be used to write down interference power values, adjacent node and this internodal distance of described adjacent node ID, adjacent node and adopt this transmitting power to send the income of message;
When node when described adjacent node sends message, according to the adjacent node information table, interference value and adjacent node and this internodal distance value of pairing this adjacent node of maximum of the income of this transmitting power transmission message of acquisition employing, and adopt following equation to calculate the size of the transmitting power that should adopt:
Wherein μ is the income coefficient, p
Infer jThe interference power values of representing this adjacent node, jumping figure h
IjRepresent the distance between this node and described adjacent node, σ (t)
2The expression thermal noise power.
Compared to prior art, power control structure and method thereof based on game theoretical model in the network of the present invention are designed at the optimization of network capacity and two indexs of network radius.The present invention reduces the transmitting power of node as far as possible under the prerequisite that satisfies network capacity maximization and network radius minimum, thereby reduces the energy consumption of node, the life span that prolongs network.The present invention has adopted distributed algorithm, only needs local information just can work, thereby can well adapt to the full distributed characteristics of Ad hoc network, has overcome the deficiency of centralized algorithm; The present invention has adopted and has not relied on the revenue function of bottom modulation system, thereby has versatility; The present invention is incorporated into network-in-dialing and network capacity factor in the design of revenue function, thereby has realized channel capacity, network radius and the optimization of node transmitting power.Improve network capacity, prolonged the life span of node and network.
For above and other objects of the present invention, feature and advantage can be become apparent, cooperate appended graphicly, be described in detail below:
[description of drawings]
Accompanying drawing 1 is based on the schematic diagram of the power control structure of game theoretical model in the network of the present invention;
Accompanying drawing 2 is based on the schematic diagram of the adjacent node information table of the power control structure of game theoretical model in the network of the present invention.
[embodiment]
Hereinafter with reference to appended graphic detailed description technology contents of the present invention.
Please refer to Fig. 1, in a kind of network of the present invention based on the power control structure 100 of game theoretical model, be used for calculating Ad hoc network one node and send the transmitting power that message should adopt to an adjacent node, this structure comprises: the SNR computing module 11 that is positioned at physical layer 1, interference calculation module 12 and power control module 13, the adjacent node information table 31 of MAC layer 2 and network layer 3, local node information table 32, receive message processing module (MPM) 33 and send message processing module (MPM) 34 that the information interchange based on the power control structure 100 of game theoretical model in the network of the present invention is to stride a layer information interchange.
Comprise a lot of nodes in the Ad hoc network, for example when a node i was received the message frame that an adjacent node j sends, SNR computing module 11 judged by the signal to noise ratio of calculating this message frame whether this message frame is effective message.For example, if the signal to noise ratio snr of this message frame (T) more than or equal to a signal-noise ratio threshold value γ
0, think that then this message frame is effective message.If effectively message is then delivered to message frame the upper strata and handled, and calculate the distance of the adjacent node j of this node i and transmission message frame, it is delivered to network layer 3.Otherwise, if the signal to noise ratio snr of this message frame (t) is less than this signal-noise ratio threshold value γ
0, then this message frame is an interference signal, node i abandons message frame, and operation interference calculation module 12, obtains the interference power values that this node i is received in order to calculate.
Please refer to Fig. 2, adjacent node information table 31 is used to write down interference power values, adjacent node and this internodal distance of described adjacent node ID, adjacent node and adopts this transmitting power to send the income of message.The form of local node information table 32 in order to the interference power values of each node interference of receiving in the record network itself, for example, stores the interference power values that node i that interference calculation module 12 calculates gained is received as shown in Figure 1.Node i when adjacent node j sends message, can send the interference power values that message adds this node i itself as sending node.In like manner, adjacent node j when node i sends message, also can send the interference power values that message adds this node j itself as sending node.
Receive message processing module (MPM) 33 in order to interference power values, adjacent node and this internodal distance of the adjacent node ID in the analytic message, adjacent node and adopt this transmitting power to send the information of the income of message, with the information stores that is resolved to adjacent node information table 31.Send interference power values and adjacent node and this internodal distance value of message processing module (MPM) 34, and send to this power control module 13 in order to this adjacent node of acquisition in adjacent node information table 31.In another embodiment, SNR computing module 11 can be by interference power values and adjacent node and this internodal distance of calculating the described adjacent node ID of direct acquisition, adjacent node and the information that adopts the income of this transmitting power transmission message, be uploaded to network layer 3, be stored in the adjacent node information table 31.
In a kind of network of the present invention based on the Poewr control method of game theoretical model, be used for computing network one node and send the transmitting power that message should adopt to adjacent node, the Poewr control method based on game theoretical model in the network of the present invention at first need be set up adjacent node information table 31 in network layer 3.Adjacent node j sends the HELLO message by the cycle to node i and sets up adjacent node information table 31.
Setting up adjacent node information table 31 may further comprise the steps:
Step 1: the Initial Trans p that sets each node
iBe maximum power p
Max, and with this maximum power p
MaxSend initial message, the interference power p of node itself in the initial message
Infer iValue is zero, initialization adjacent node information table 31.
Step 2: when node i was received the message frame that adjacent node j sends, SNR computing module 11 judged whether this message frame is effective message.If effectively message is then uploaded message frame, carry out step 3, otherwise this message frame is an interference signal, node i abandons message frame, carries out step 4.
Step 3: message processing module (MPM) 33 analytic messages of network layer 3, obtain interference power values and adjacent node and this internodal distance of adjacent node ID, adjacent node and adopt the information of the income of this transmitting power transmission message, and with the information stores that is resolved to adjacent node information table 31.
Step 4: operation interference calculation module 12, calculate this node i of acquisition and receive the interference power values of interference, be uploaded to the local node information table 32 of network layer.
Wherein, node i adopts the income of this transmitting power transmission message to calculate according to following formula:
u
i=μlog
2(1+SIR
i)-c(p
i) (1)
Computing node i adopts this transmitting power to send the income of message, and upgrades adjacent node information table 31, wherein c (p
i) be the linear cost function of transmitted power, SIR
iBe the signal interference ratio of this node, its value is tried to achieve by following formula:
p
Infer iRepresent the interference power values of the interference signal that this node i is received, have
K represents interfering nodes.
The quality of wireless network often is subjected to the influence of factors such as signal modulating method that node adopts, coded system, and the different type of modulation method all can produce different influences to channel with coded system.Simplify the design of revenue function in the network of the present invention based on the revenue function formula (1) of the Poewr control method of game theoretical model, do not relied on node physical layer signal processing mode.
C (p
i) be the linear cost function of transmitted power.Poewr control method based on game theoretical model in the network of the present invention is introduced the performance that cost function can improve system, cost function is normally defined the increasing function of user emission power, and cost function is divided into linear cost function and non-linear cost function two big classes usually.Linear cost function has form simple, and computation complexity is low, can adopt advantages such as distributed algorithm realization, but can not reach global optimum usually.Non-linear cost function can be realized global optimum, but its computing more complicated, and can only adopt centralized solution to realize, thereby and is not suitable for Ad hoc network.Therefore Poewr control method based on game theoretical model uses linear cost function at this in the network of the present invention.We adopt the cost function of following form to consider network radius:
H wherein
iFor node with power p
iPath gain during emission is represented with the distance of transmitting node and receiving node usually.
If regard the power control problem of node in the Ad hoc network as the non-cooperative game problem, then can adopt the game basic form to be expressed as: Г=<N, A, { u
i.In power control problem, the policy space of each node is expressed as A
i=[0, p
Max].N={1,2 ..., n} represents all nodes in the network, { u
iThe income of expression node expectation gathers with revenue function.Each node determines to make the strategy of own income maximum according to revenue function in the network, promptly
p
iThe transmitting power that the expression node i is selected, p
-iThe transmitting power of the selection of other nodes of expression except that i.
Utilize in the network of the present invention Poewr control method based on game theoretical model, when node i when described adjacent node j sends message, sending message processing module (MPM) 32 obtains to adopt this transmitting power to send the maximum of the income of message in adjacent node information table 31, choose interference value and adjacent node and this internodal distance value of pairing this adjacent node of maximum of this income, and send to this power control module 13.This power control module 13 adopts following equation to calculate the size of the transmitting power that should adopt:
Wherein μ is the income coefficient, p
Infer jThe interference power values of representing this adjacent node j, jumping figure h
IjRepresent the distance between this node i and described adjacent node j, σ (t)
2The expression thermal noise power.
Node i when adjacent node j sends message, comprises a territory of preserving the interference power values of node itself as sending node in each message.For example, comprise a territory of preserving the interference power values of node itself in each HELLO message.Send message processing module (MPM) 32 from the local node information table 32 interior interference power values that obtain node i itself, sending the interference power values that message adds this node i itself.
In like manner, adjacent node j when node i sends message, also can send the interference power values that message adds this node j itself as sending node.
Obtain the calculation equation of transmitting power of the present invention by following principle:
Since the policy space of each node be defined in the interval [0, p
Max] on, therefore, policy space A is convex set non-NULL in the Euclidean space, that close, bounded.u
i(p) continuous on p, and have
Obtain the transmitting power computational methods of node I according to the maximum theorem
Poewr control method based on game theoretical model in the network of the present invention is described below:
PROCEDURE?Init
while?t=0
do
p
i=P
max
p
i infer=0
Initialize (other_table) (initialization adjacent node information table)
end?while
PROCEDURE?HandleMessage(HELLO)
while?i?receives?HELLO
do
Refresh (other_table) (upgrading the adjacent node information table)
end?while
PROCEDURE?Send(M)
while?i?sends?M
do
U ← find_payoff (other_table) (in the adjacent node information table, obtaining maximum gain)
p
i← compute_trans_power (u) (calculating transmitting power)
if?M=HELLO
Then add_infer_field (p
i Infer) (interference power that adds local node is planted)
end?if
end?while
Power control structure and method thereof based on game theoretical model in the network of the present invention are designed for the optimization of network capacity and two indexs of network radius. The present invention reduces the transmitting power of node as far as possible under the prerequisite that satisfies network capacity maximization and network radius minimum, thereby reduces the energy consumption of node, the life span that prolongs network. The present invention has adopted distributed algorithm, only needs local information just can work, thereby can well adapt to the complete distributed characteristics of Ad hoc network, has overcome the deficiency of centralized algorithm; The present invention has adopted and has not relied on the revenue function of bottom modulation system, thereby has versatility; The present invention is incorporated into network-in-dialing and network capacity factor in the design of revenue function, thereby has realized channel capacity, network radius and the optimization of node transmitting power. Improve network capacity, prolonged the life span of node and network.
Claims (17)
- In the network based on the Poewr control method of game theoretical model, be used for computing network one node and send the transmitting power that message should adopt to adjacent node, it is characterized in that this method may further comprise the steps:Set up the adjacent node information table in network layer, be used to write down interference power values, adjacent node and this internodal distance of described adjacent node ID, adjacent node and adopt this transmitting power to send the income of message;When node when described adjacent node sends message, according to the adjacent node information table, interference value and adjacent node and this internodal distance value of pairing this adjacent node of maximum of the income of this transmitting power transmission message of acquisition employing, and adopt following equation to calculate the size of the transmitting power that should adopt:Wherein μ is the income coefficient, p Infer jThe interference power values of representing this adjacent node, jumping figure h IjRepresent the distance between this node and described adjacent node, σ (t) 2The expression thermal noise power.
- 2. the method for claim 1, it is characterized in that: the Initial Trans of setting each node is a maximum power, and sends initial message with this maximum power, the interference power values of node itself is zero in the initial message.
- 3. the method for claim 1, it is characterized in that: also be included in physical layer one SNR computing module is provided, when node is received the message frame of described adjacent node transmission, utilize the SNR computing module to judge whether this message is effective message, if effectively message is then uploaded message frame.
- 4. the method for claim 1, it is characterized in that: also be included in physical layer one SNR computing module is provided, when node is received the message frame of described adjacent node transmission, utilize the SNR computing module to judge whether this message is effective message, if effective message, directly by calculating interference power values and adjacent node and this internodal distance that obtains described adjacent node ID, adjacent node and adopting this transmitting power to send the information of the income of message, be uploaded to network layer, be stored in the adjacent node information table.
- 5. method as claimed in claim 3, it is characterized in that: also be included in physical layer one interference calculation module is provided, if the SNR computing module judges that this message is an interference signal, this interference signal is sent to the interference calculation module, calculates by the interference calculation module and obtain the interference power values that this node is received this interference signal.
- 6. method as claimed in claim 5 is characterized in that: when this node is received message, then according to formula u i=μ log 2(1+SIR i)-c (p i) computing node adopts this transmitting power to send the income of message and upgrade the adjacent node information table, c (p wherein i) be the linear cost function of transmitted power, SIR iBe the signal interference ratio of this node, its value is tried to achieve by following formula:
- 7. method as claimed in claim 5 is characterized in that: also be included in network layer one local node information table is provided, itself receive the interference power values of interference in order to write down in described node and the adjacent node each node.
- 8. method as claimed in claim 5, it is characterized in that: if this node sends message as sending node to adjacent node, if perhaps described adjacent node sends message as sending node to this node, in message, add the interference power values of sending node itself.
- 9. method as claimed in claim 8 is characterized in that: comprise a territory of preserving the interference power values of node itself in each message.
- 10. method as claimed in claim 3, it is characterized in that: also being included in network layer provides one to receive message processing module (MPM), in order to analytic message, the interference power values of described adjacent node ID, adjacent node and adjacent node and this internodal distance and the information that adopts this transmitting power to send the income of message obtain by analytic message, receive message processing module (MPM) with the information stores that is resolved to the adjacent node information table.
- 11. any described method as in the claim 1 to 10 is characterized in that: described adjacent node sends the HELLO message by the cycle to described node and sets up the adjacent node information table.
- 12. method as claimed in claim 11, it is characterized in that: also be included in physical layer one power control module is provided, calculate this node according to the interference power values of this adjacent node and adjacent node and this internodal distance value and send the transmitting power that message should adopt to adjacent node.
- 13. method as claimed in claim 12, it is characterized in that: also being included in network layer provides one to send message processing module (MPM), in the adjacent node information table, obtain interference power values and adjacent node and this internodal distance value of this adjacent node, and send to this power control module.
- 14. in the network based on the power control structure of game theoretical model, be used to calculate a node and send the transmitting power that message should adopt to an adjacent node, this structure comprises: the SNR computing module and the power control module that are positioned at physical layer, and network layer receive message processing module (MPM), it is characterized in that: the information interchange of this structure is to stride a layer information interchange, this structure also comprises the adjacent node information table that is positioned at network layer, is used to write down described adjacent node ID, the interference power values of adjacent node, adjacent node is with this internodal distance and adopt this transmitting power to send the income of message; The SNR computing module judges whether the message that adjacent node sends to this node is effective message, if effective message is then uploaded message frame; Receive message processing module (MPM) in order to interference power values, adjacent node and this internodal distance of the described adjacent node ID in the analytic message, adjacent node and adopt this transmitting power to send the information of the income of message, and with the information stores that is resolved to the adjacent node information table; Power control module calculates this node according to the interference power values of this adjacent node and adjacent node and this internodal distance value and sends the transmitting power that message should adopt to adjacent node.
- 15. structure as claimed in claim 14, it is characterized in that: physical layer is provided with an interference calculation module, be connected with the SNR computing module, if the SNR computing module judges that this message is an interference signal, this interference signal is sent to the interference calculation module, and the interference calculation module obtains the interference power values that this node is received in order to calculate.
- 16. structure as claimed in claim 15 is characterized in that: network layer is provided with a local node information table, in order to write down the interference power values of the interference that each node is received in described node and the adjacent node itself.
- 17. structure as claimed in claim 16, it is characterized in that: network layer is provided with one and sends message processing module (MPM), in the adjacent node information table, obtain interference power values and adjacent node and this internodal distance value of this adjacent node, and send to this power control module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200810201373A CN101729105A (en) | 2008-10-17 | 2008-10-17 | Power control structure and method thereof based on game theory model in network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200810201373A CN101729105A (en) | 2008-10-17 | 2008-10-17 | Power control structure and method thereof based on game theory model in network |
Publications (1)
Publication Number | Publication Date |
---|---|
CN101729105A true CN101729105A (en) | 2010-06-09 |
Family
ID=42449434
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN200810201373A Pending CN101729105A (en) | 2008-10-17 | 2008-10-17 | Power control structure and method thereof based on game theory model in network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN101729105A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102238717A (en) * | 2010-05-07 | 2011-11-09 | 富士通株式会社 | Method and device for adjusting transmitting power in mobile wireless self-organized network |
CN102781085A (en) * | 2012-07-27 | 2012-11-14 | 南京邮电大学 | Femtocell power control method based on interference limitation |
CN103313293A (en) * | 2013-07-02 | 2013-09-18 | 重庆大学 | Method for controlling stability of capacity of mobile ad-hoc networks |
CN103546952A (en) * | 2013-11-05 | 2014-01-29 | 中国联合网络通信集团有限公司 | Power control method and device |
-
2008
- 2008-10-17 CN CN200810201373A patent/CN101729105A/en active Pending
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102238717A (en) * | 2010-05-07 | 2011-11-09 | 富士通株式会社 | Method and device for adjusting transmitting power in mobile wireless self-organized network |
CN102781085A (en) * | 2012-07-27 | 2012-11-14 | 南京邮电大学 | Femtocell power control method based on interference limitation |
CN102781085B (en) * | 2012-07-27 | 2014-09-10 | 南京邮电大学 | Femtocell power control method based on interference limitation |
CN103313293A (en) * | 2013-07-02 | 2013-09-18 | 重庆大学 | Method for controlling stability of capacity of mobile ad-hoc networks |
CN103313293B (en) * | 2013-07-02 | 2016-04-13 | 重庆大学 | A kind of control method of mobile ad-hoc network capacity stability |
CN103546952A (en) * | 2013-11-05 | 2014-01-29 | 中国联合网络通信集团有限公司 | Power control method and device |
CN103546952B (en) * | 2013-11-05 | 2017-01-18 | 中国联合网络通信集团有限公司 | Power control method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Agrawal et al. | An improved energy efficient system for IoT enabled precision agriculture | |
Bu et al. | Green cognitive mobile networks with small cells for multimedia communications in the smart grid environment | |
Ji et al. | Joint optimization for ambient backscatter communication system with energy harvesting for IoT | |
Madan et al. | Distributed algorithms for maximum lifetime routing in wireless sensor networks | |
Zarifzadeh et al. | Energy-efficient topology control in wireless ad hoc networks with selfish nodes | |
Halgamuge et al. | Energy efficient cluster formation in wireless sensor networks | |
Tan et al. | Energy harvesting aware topology control with power adaptation in wireless sensor networks | |
CN103858491B (en) | System and method for low-power medium access | |
Wan et al. | AHP based relay selection strategy for energy harvesting wireless sensor networks | |
Cengiz et al. | A review on the recent energy-efficient approaches for the Internet protocol stack | |
Zhang et al. | Energy efficient resource allocation in cache based terahertz vehicular networks: A mean-field game approach | |
Li et al. | A novel energy-balanced routing algorithm in energy harvesting sensor networks | |
Tsoumanis et al. | Energy-efficient sink placement in wireless sensor networks | |
Yang et al. | Performance analysis of wireless heterogeneous networks with pushing and caching | |
Ku et al. | Quality of service optimization for vehicular edge computing with solar-powered road side units | |
CN101729105A (en) | Power control structure and method thereof based on game theory model in network | |
Ahmed et al. | Cooperative backscatter NOMA with imperfect SIC: towards energy efficient sum rate maximization in sustainable 6G networks | |
Liu et al. | Learning-based multi-UAV assisted data acquisition and computation for information freshness in WPT enabled space-air-ground PIoT | |
Altman et al. | Stochastic geometric models for green networking | |
Li et al. | Power allocation criteria for distributed antenna systems with D2D communication | |
Miao et al. | A DDQN-based Energy-Efficient Resource Allocation Scheme for Low-Latency V2V communication | |
CN112188600B (en) | Method for optimizing heterogeneous network resources by reinforcement learning | |
Deng et al. | Optimizing retention-aware caching in vehicular networks | |
CN106656612A (en) | Approximation method for traversal and rate of ultra-dense network system | |
CN114285504B (en) | Large-scale wireless energy supply backscattering communication network transmission performance research method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C12 | Rejection of a patent application after its publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20100609 |