CN104284373A - Frequency spectrum sharing and power distribution method for cellular network base station and relay station - Google Patents
Frequency spectrum sharing and power distribution method for cellular network base station and relay station Download PDFInfo
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- CN104284373A CN104284373A CN201410508205.0A CN201410508205A CN104284373A CN 104284373 A CN104284373 A CN 104284373A CN 201410508205 A CN201410508205 A CN 201410508205A CN 104284373 A CN104284373 A CN 104284373A
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- controller
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/14—Spectrum sharing arrangements between different networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
- H04W52/244—Interferences in heterogeneous networks, e.g. among macro and femto or pico cells or other sector / system interference [OSI]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/34—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading
- H04W52/346—TPC management, i.e. sharing limited amount of power among users or channels or data types, e.g. cell loading distributing total power among users or channels
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- 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
Abstract
The invention discloses a frequency spectrum sharing and power distribution method for a cellular network base station and a relay station. The method comprises the steps that topology control and data transmission of a cellular relay network are processed in a separated mode; a controller collects information of all cells through a topology control plane and feeds the information back to a data transmission plane of the controller; the data transmission plane calculates receiving the signal to interference ratio, the data transmission rate and the total power consumption; under the maximum power constraint and interference power constraint of nodes and the frequency spectrum efficiency constraint of the cellular relay network, the energy efficiency of the cellular relay network is maximized, and the transmitting power of the nodes is calculated and fed back to the topology control plane of the controller; the topology control plane of the controller manages the access of a user, traffic sharing, a relay transmitting mode and a transmitting protocol, and adjusts the transmitting power. According to the frequency spectrum sharing and power distribution method for the cellular network base station and the relay station, inter-cell interference and heterogeneous network interference are restrained effectively by utilizing a frequency spectrum sharing model through dynamic user access and adjustment of the transmitting power, and dynamic balance of frequency spectrum efficiency and energy efficiency is achieved.
Description
Technical field
The present invention relates to mobile communication technology field, be specifically related to a kind of cellular network base stations and relay station frequency spectrum share and power distribution method.
Background technology
Presence of intercell interference is the principal element affecting Cellular Networks cell edge user throughput, and the performance of Cell Edge User weighs an important indicator of Cellular Networks performance.In addition, in honeycomb junction network, microcellulor, Home eNodeB etc. and macrocellular share spectrum resources, can bring signal disturbing to macrocellular.
Along with number of users and traffic carrying capacity rapid growth, Future cellular junction network topological structure will become more complicated, level is more, website is also much intensive, and the user type of their services is more and translational speed is faster.In honeycomb junction network complicated like this, traditional frequency spectrum share model based on Optimum Theory and power distribution method will be difficult to reach spectrum efficiency and energy efficiency target simultaneously, present the problem such as autgmentability and poor real.Therefore, frequency spectrum share model and the power distribution method of rethinking base station and relay station in complicated honeycomb junction network is necessary.
Summary of the invention
For the frequency spectrum share model of base station and relay station in honeycomb junction network and the problem of power distribution method autgmentability and poor real, the invention provides a kind of cellular network base stations of software definition and relay station frequency spectrum share model and power distribution method, utilize frequency spectrum share model by dynamic access user and regulate transmitting power, disturb between effective suppression presence of intercell interference and heterogeneous network, reach the dynamic equilibrium of spectrum efficiency and energy efficiency.
Set forth technical scheme of the present invention below.
A kind of cellular network base stations and relay station frequency spectrum share and power distribution method, described method comprises:
The topology of honeycomb junction network is controlled and data transmission separately process, control with virtual controller coordinate user access and power; Controller is collected each cell information by topological chain of command and is fed back to the data transmission plane of controller; Data transmission plane calculates statistic SINR, message transmission rate and total power consumption, obtains spectral efficiency values and the energy efficiency values of honeycomb junction network; Retrain in the maximum power of node, the energy efficiency of maximum cellular junction network under the spectrum efficiency constraint of interference power constraint and honeycomb junction network, the transmitting power of computing node also feeds back to the topological chain of command of controller; The access of the topological chain of command leading subscriber of controller, traffic sharing, relay forwarding mode and retransmission protocol, and regulate transmitting power.
Described method also comprises: when user and state of affairs change, controller is again collected information by topological chain of command and is fed back to data transmission plane, data transmission plane recalculates the transmitting power of node and feeds back to topological chain of command, topology chain of command adjusts the dynamic access of user, traffic sharing, relay forwarding mode and retransmission protocol accordingly, and transmitting power.
Accompanying drawing explanation
Fig. 1 is honeycomb junction network illustraton of model.
Fig. 2 is cellular network base stations and the relay station frequency spectrum share model schematic of software definition.
Fig. 3 is cellular network base stations and the relay station power distribution method schematic diagram of software definition.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail, is conducive to understanding the present invention better.
(1) establish Cellular Networks Zhong YouNGe community, each center of housing estate has a base station configuring many antennas.K is had in n-th community
nthe relay station of individual position random distribution (n=1, N), suppose that they all only have an antenna.At moment t, in the n-th community, there is M
n(t) individual single-antenna subscriber, their position be random, may move, number of users also changes in time in addition.The business of Cellular Networks is paroxysmal.When certain user has data to send, the base station of its application access community, place or relay station.If the base station of community, place or relay station load excessive, it can apply for accessing the base station of neighbor cell or relay station.
(2) at moment t, certain user may send data directly to the base station of community, place, also can, by the relay station forwarding data in community to base station (up), adopt common relay forwarding agreement as amplification forwarding; Certain base station may send data directly to the user in community, also can by the relay station forwarding data in community to user (descending).The retransmission protocol that their adopt is not necessarily identical, and relay forwarding mode may be full duplex or semiduplex.The uplink and downlink data of each community transmit shares identical frequency band, namely adopts liner type frequency spectrum share scheme.But user's access is dynamic, fixes access base station or relay station not based on certain criterion, but consider the traffic load of base station and relay station, service priority, complete/half-duplex restriction, interference power constraint.Controller is collected each cell relays station and customer location, the access amount of base station and relay station, business-level, relay forwarding mode and the information such as retransmission protocol, channel coefficients by topological chain of command and is fed back to the data transmission plane of controller.Data transmission plane calculates statistic SINR, message transmission rate and total power consumption, and then obtains spectrum efficiency and the energy efficiency of honeycomb junction network.Then retrain in the maximum power of node, the energy efficiency of maximum cellular junction network under the spectrum efficiency constraint of interference power constraint and honeycomb junction network, calculate the transmitting power of node and feed back to the topological chain of command of controller.
(3) dynamic access of the topological chain of command leading subscriber of controller, traffic sharing, relay forwarding mode and retransmission protocol, and regulate transmitting power.When user and state of affairs change, controller is again collected information by topological chain of command and is fed back to data transmission plane, and data transmission plane recalculates the transmitting power of node and feeds back to topological chain of command.Topology chain of command adjusts the dynamic access of user, traffic sharing, relay forwarding mode and retransmission protocol accordingly, and transmitting power.The rest may be inferred, and the spectrum efficiency reached and energy efficiency balance are dynamic.
Honeycomb junction network shown in Fig. 1 has 3 communities, and each community has 1,2,3 relay station respectively.The base station of these 3 communities is designated as BS respectively
1, BS
2, BS
3, each configuration four antennas, their relay station is designated as RS respectively
1,1, RS
2,1, RS
2,2, RS
3,1, RS
3,2, RS
3,3, all only have an antenna.There are 4 single-antenna subscriber each community sometime, is designated as MS respectively
n,m(n=1,2,3; M=1,2,3,4).Each community all only has downlink data transmission.Base station BS
1by relay station RS
1,1to user MS
1,1forwarding data, base station BS
2by relay station RS
2,1and RS
2,2respectively to user MS
2,1and MS
2,2forwarding data, base station BS
3by relay station RS
3,1, RS
3,2and RS
3,3respectively to user MS
3,1, MS
3,2and MS
3,3forwarding data, other user directly receives the data from base station.Base station BS
nto relay station RS
n,jthe channel coefficients of (j=1 or 2 or 3) is designated as h
n,j, to user MS
n,mthe channel coefficients of (m ≠ j) is designated as h
n,m; Relay station RS
n,jto user MS
n,jchannel coefficients be designated as g
n,j.The pass-through mode of relay station is all semiduplex, adopts amplification forwarding agreement.The data of each community transmit shares identical frequency band.
Controller collects RS by topological chain of command
1,1, RS
2,1, RS
2,2, RS
3,1, RS
3,2, RS
3,3and MS
n,mposition; BS
1, BS
2, BS
3and RS
1,1, RS
2,1, RS
2,2, RS
3,1, RS
3,2, RS
3,3access amount; User oriented MS
n,mbusiness-level, channel coefficients h
n,j, h
n,m, g
n,jetc. information, and feed back to the data transmission plane of controller.Data transmission plane calculates user MS
n,mstatistic SINR, message transmission rate and BS
1, BS
2, BS
3, RS
1,1, RS
2,1, RS
2,2, RS
3,1, RS
3,2, RS
3,3power consumption sum, and then obtain the spectrum efficiency η of honeycomb junction network
sE(message transmission rate sum is divided by bandwidth) and energy efficiency η
eE(message transmission rate sum is divided by power consumption sum).Then P is retrained in the maximum power of base station and relay station
b, max, P
r, max, interference power constraint I
thwith the spectrum efficiency constraint η of honeycomb junction network
sEthe energy efficiency η of maximum cellular junction network under>=Γ
eE, calculate the transmitting power P of base station and relay station
b, P
rand feed back to the topological chain of command of controller.When user move, business arrive change time, the dynamic access of the topological chain of command leading subscriber of controller, traffic sharing, relay forwarding mode and retransmission protocol, and regulate transmitting power, reach spectrum efficiency and energy efficiency balance again.
Claims (5)
1. cellular network base stations and relay station frequency spectrum share and a power distribution method, described method comprises:
The topology of honeycomb junction network is controlled and data transmission separately process, control with virtual controller coordinate user access and power;
Controller collects each cell information by topological chain of command, and feeds back to the data transmission plane of controller;
Data transmission plane calculates statistic SINR, message transmission rate and total power consumption, obtains spectral efficiency values and the energy efficiency values of honeycomb junction network;
Retrain in the maximum power of node, the energy efficiency of maximum cellular junction network under the spectrum efficiency constraint of interference power constraint and honeycomb junction network, the transmitting power of computing node also feeds back to the topological chain of command of controller;
The access of the topological chain of command leading subscriber of controller, traffic sharing, relay forwarding mode and retransmission protocol, and regulate transmitting power.
2. method according to claim 1, described method also comprises: when user and state of affairs change, controller is again collected information by topological chain of command and is fed back to data transmission plane, data transmission plane recalculates the transmitting power of node and feeds back to topological chain of command, topology chain of command adjusts the dynamic access of user, traffic sharing, relay forwarding mode and retransmission protocol accordingly, and transmitting power.
3. method according to claim 1 and 2, described user access considers the traffic load of base station and relay station, service priority, complete/half-duplex restriction, interference power constraint, not based on the dynamic access user of certain criterion.
4. method according to claim 1 and 2, the described control of the topology of honeycomb junction network and data transmission separately processes, and is the chain of command of the network equipment and data surface are separately processed based on OpenFlow agreement.
5. method according to claim 1 and 2, described controller collects each cell information by topological chain of command, refers to and collects each cell relays station and customer location, the access amount of base station and relay station, business-level, relay forwarding mode and the information such as retransmission protocol, channel coefficients.
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CN105873216A (en) * | 2016-05-09 | 2016-08-17 | 东南大学 | Resource allocation method for jointly optimizing energy efficiency and spectral efficiency by heterogeneous network multipoint collaboration |
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