WO2012159328A1 - Procédé et dispositif pour la distribution de ressources sans fil - Google Patents

Procédé et dispositif pour la distribution de ressources sans fil Download PDF

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Publication number
WO2012159328A1
WO2012159328A1 PCT/CN2011/077166 CN2011077166W WO2012159328A1 WO 2012159328 A1 WO2012159328 A1 WO 2012159328A1 CN 2011077166 W CN2011077166 W CN 2011077166W WO 2012159328 A1 WO2012159328 A1 WO 2012159328A1
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WO
WIPO (PCT)
Prior art keywords
user
value
throughput rate
subcarriers
power
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PCT/CN2011/077166
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English (en)
Chinese (zh)
Inventor
张舜卿
陈雁
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华为技术有限公司
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Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to PCT/CN2011/077166 priority Critical patent/WO2012159328A1/fr
Priority to CN201180001244.6A priority patent/CN103004275B/zh
Publication of WO2012159328A1 publication Critical patent/WO2012159328A1/fr

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Classifications

    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0003—Two-dimensional division
    • H04L5/0005—Time-frequency
    • H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0042—Arrangements for allocating sub-channels of the transmission path intra-user or intra-terminal allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation

Definitions

  • the present invention relates to the field of OFDMA wireless communications, and in particular, to a wireless resource allocation method and apparatus.
  • the OFDMA (Orthogonal Frequency Division Multiple Access) technology is a multi-carrier transmission technology in a wireless environment, which implements multi-user access by allocating a certain number of subcarriers to each user.
  • a two-step that is, a radio resource allocation scheme in which subcarriers are reassigned power is first allocated.
  • the power allocation is mainly based on the Margin Adaptive Enhanced CHC algorithm (Cross Generation Heterogeneous recombination Cataclysmic mutation), which can ensure the minimum throughput requirement per user.
  • the transmission of minimum throughput is not the most energy efficient transmission. From the perspective of energy efficiency, this wireless resource allocation scheme is not the most energy efficient solution.
  • Embodiments of the present invention provide a method and apparatus for radio resource allocation for achieving the purpose of an OFDMA system capable of allocating radio resources according to an energy efficient scheme.
  • a method for allocating radio resources includes:
  • the optimal throughput rate of the system is determined according to the correspondence between the system throughput rate and the intermediate value of the energy efficiency
  • Subcarriers and transmit power are allocated to the user in accordance with the determined set of subcarriers and the set of power allocations.
  • a wireless resource allocation apparatus provided by the present invention includes:
  • a first determining unit configured to perform a correspondence between a system throughput rate and an intermediate energy optimal value Relationship determines the optimal throughput rate of the system
  • a second determining unit configured to determine a subcarrier set and a power allocation set according to a maximum power reduction priority algorithm when the system is in an optimal throughput rate
  • an allocating unit configured to allocate a subcarrier and a transmit power to the user according to the determined set of subcarriers and the set of power allocations.
  • Embodiments of the present invention provide a method and an apparatus for allocating radio resources, and determining an optimal throughput rate according to a correspondence between a system throughput rate and an intermediate energy optimal value.
  • the maximum power reduction priority group determines the set of subcarriers and the power allocation set, and performs radio resource allocation according to the determined result, so as to ensure that the downlink OFDM A system can allocate radio resources according to the energy efficient scheme.
  • FIG. 1 is a flowchart of a method for allocating radio resources according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of analysis of a quasi-convex characteristic of an energy-efficient intermediate optimal function
  • FIG. 3 is a method for determining a system using a dichotomy when a derivative is greater than 0. Flow chart of method for superior throughput rate;
  • FIG. 4 is a flowchart of a maximum power reduction priority algorithm
  • FIG. 5 is a block diagram of a wireless resource allocation apparatus according to an embodiment of the present invention.
  • a radio resource allocation method provided by the present invention includes: 101. Determine an optimal throughput rate of the system according to a correspondence between a system throughput rate and an intermediate energy optimal value;
  • the throughput rate refers to the amount of data downlinked per unit time
  • the system throughput rate refers to the amount of data downlinked by the system per unit time
  • the user throughput rate refers to the amount of data that the base station downlinks to the user per unit time.
  • system throughput is the sum of user throughput for all users.
  • energy efficiency intermediate optimal value The largest of the energy efficiency intermediate optimal values is the energy efficiency optimal value, and the system throughput rate corresponding to the energy efficiency optimal value is the system optimal throughput rate.
  • This step can be specifically:
  • Multi-user hybrid services include real-time traffic with fixed throughput requirements and non-real-time traffic with minimum throughput requirements.
  • the minimum throughput rate of the user is the required fixed throughput rate for the user; for the non-real-time service with the minimum throughput requirement, the minimum throughput rate of the user is required. The minimum throughput rate for this user.
  • the system minimum throughput rate is the sum of the minimum throughput rates of all users.
  • the energy efficiency intermediate optimal function is a correspondence between a system throughput rate and an energy efficiency intermediate optimal value obtained by the energy efficiency function;
  • the energy efficiency function is a ratio of a system throughput rate to a total system transmit power, and the total transmit power of the system is the sum of the system static circuit power.
  • the system static circuit power is the power corresponding to when the system does not transmit power to any user. Considering the static circuit power of the system in this embodiment, the theoretical conclusion can be made closer to the actual system scenario.
  • the energy function can be an expression like this:
  • the intermediate energy efficiency intermediate value refers to a value that maximizes the energy efficiency function at the throughput rate of the system considering all the different subcarrier allocation schemes and transmission power allocation schemes under the condition that the system throughput rate is constant. Therefore, the expression of the energy efficiency intermediate optimal function is: Where p is a subcarrier allocation indication matrix and P is a system transmit power matrix. In the embodiment of the present invention, for example, the number of subcarriers is N, and the number of users is, then p is a subcarrier allocation indication matrix corresponding to allocating N subcarriers to users, and P is to allocate N subcarriers to users. The corresponding system transmit power matrix.
  • constraint condition of the energy efficiency intermediate optimal function includes:
  • Each subcarrier is assigned at most to a unique user
  • the system transmit power is less than or equal to the system transmit power peak; the sum of the user's weight values; the weight value is used to indicate fairness between users;
  • the weight value of the user may be a product of a difference between the optimal throughput rate of the system and a minimum throughput rate of the system and a user experience factor of the user; the minimum throughput of the system is a minimum of all users.
  • a user's user experience factor is the ratio of the user's user's minimum throughput rate divided by the system's minimum throughput rate; or, a user's user experience factor is the user's user experience factor.
  • the amount of data in the queued queue divided by the amount of data in the queued queue of the system; the amount of data in the queued queue of the system is the sum of the amount of data in the queued queues of all users.
  • the definition of the former user experience factor is taken as an example for description.
  • the user's user experience factor is recorded as 0.
  • the optimal throughput rate of the system is determined according to the quasi-convexity characteristic of the energy efficiency intermediate optimal function and the comparison result of the derivative with 0.
  • the quasi-upward convexity characteristic of the energy efficiency intermediate optimal function is to reduce the complexity of the algorithm and analyze the characteristics of the function obtained by the energy intermediate optimal function.
  • the quasi-convex characteristic means that a function must be a characteristic of an up-convex function.
  • the system throughput rate that can be obtained when the system transmit power peak is transmitted under the condition that the energy efficiency intermediate optimal function satisfies all the constraints.
  • the maximum throughput of the system under system availability that is, the area determined between and is the system availability zone.
  • the energy efficiency intermediate optimal function when the energy efficiency intermediate optimal function has a derivative of the system minimum throughput less than or equal to 0, the energy efficiency intermediate optimal function is a subtraction function in the system available region.
  • the energy efficiency intermediate optimal function takes the maximum value at the minimum throughput rate of the system, that is, the energy efficiency optimal value U
  • the energy efficiency intermediate optimal function has a derivative greater than 0 at the minimum throughput rate of the system and a derivative at the maximum throughput rate of the system is greater than or equal to 0, in the system available area.
  • the energy efficiency intermediate optimal function is an increasing function. At this time, the energy efficiency intermediate optimal function obtains the maximum value at the maximum throughput rate of the system, that is, the energy efficiency optimal value R best ;
  • the energy efficiency intermediate optimal function has a derivative at the minimum throughput rate of the system greater than 0 and the derivative at the maximum throughput rate of the system is less than 0, the energy efficiency is available in the system available area.
  • the intermediate optimal function is the first increase and then decrease function. At this time, the system throughput rate that makes the energy efficiency optimal value is between R and R.
  • the quasi-convexity characteristic according to the energy efficiency intermediate optimal function and the comparison result of the derivative with 0 determine the optimal throughput rate of the system including two cases:
  • the optimal throughput rate R best of the system can be determined as The system has a minimum throughput rate
  • the system transmit power is less than or equal to the system transmit power.
  • the dichotomy method can be used to determine the optimal throughput rate rf of the system.
  • the derivative is greater than 0, as shown in FIG. 3, it may include:
  • the value of a system throughput rate with a derivative of throughput less than 0, ie ?2 ;
  • step 3004 determining whether the system transmit power is greater than a system transmit power peak; if the system transmit power is greater than the system transmit power peak, proceed to step 3005, and if not, perform step 3006;
  • step 3007 If not, proceed to step 3007; if convergence, proceed to step 3008;
  • the end and the last average value obtained is the optimal throughput rate of the system ⁇ , ie
  • the maximum power reduction priority algorithm includes:
  • system variables include: number of users, user throughput rate per user, number of subcarriers allocated by each user, set of subcarriers allocated by each user &, assigned by each user Transmit power set 1, total number of subcarriers, unallocated subcarrier set 5, channel information assigned to any user per subcarrierhoff, number of users of unallocated subcarriers;
  • the initialization K, ⁇ , hk n , s . & is an empty set
  • R k k + ⁇
  • ⁇ is an empty set
  • it may be the difference between the current throughput rate of the system and the minimum throughput rate of the system.
  • the initial user throughput rate for each user Initialization depends on the application scenario.
  • step 3003 the maximum power reduction priority algorithm is applied, which initializes the system variables, and the current throughput rate of the system at initialization is the system throughput rate determined for each cycle.
  • the maximum power reduction priority algorithm is applied in this step 102.
  • the current throughput of the system at initialization is the optimal throughput rate determined by step 101; that is, each is initialized in step 102.
  • User's user throughput rate A + d
  • the 4002. Acquire, according to the channel information, subcarriers with the worst channel condition for each user, for example, ( ⁇ k ⁇ K) users, and according to the user throughput of the first user and the channel condition being the worst.
  • the subcarrier is allocated to the channel information n k of the first user, and the first baseline power of the first user is determined ; that is, the first baseline power of each user can be obtained;
  • subcarriers with optimal channel conditions for each user for example, ( ⁇ k ⁇ K) users, according to the channel information, and according to the first user.
  • user throughput channel conditions of the optimal allocation of subcarriers to the k th user channel information Lambda, and binding of the subcarrier set assigned user & determining a baseline power 3 ⁇ 4 of a second user; that , can get the second baseline power of each user;
  • the sub-carriers with the best channel conditions for the first user are obtained according to the amplitude calculation of the complex number, and the second baseline power p k of the first user is determined according to the union of & and the water injection algorithm. ', nt ;
  • the power reduction value is a difference Pk , nt of the first baseline power and the second baseline power;
  • a maximum power reduction value including: acquiring, in a case where the number of unallocated subcarriers is greater than the number of users of unassigned subcarriers, obtaining a maximum value of all power reduction values ⁇ as a maximum power reduction value; when unallocated If the number of subcarriers is equal to the number of users of the unassigned subcarriers, for the user whose number of allocated subcarriers is 0, the power reduction value of the user is increased by a preset offset ( ) to obtain a new power reduction value. And obtaining a maximum value of the new power reduction value and other power reduction values as the maximum power reduction value;
  • This step is formulated as:
  • the maximum value of ⁇ ⁇ 3 ⁇ 4 of ⁇ ⁇ 1 ⁇ 2, subcarrier allocation to users coming * is the maximum power reduction power reduction value.
  • the offset needs to ensure that the new power reduction value of the allocated number of subcarriers is greater than the number of allocated subcarriers other than 0, so that each user can be allocated to the subcarriers.
  • the current cycle result includes the subcarrier that is allocated in the current cycle, and the subcarrier is allocated to the subcarrier.
  • the result of the current cycle is that the power reduction value of the subcarriers allocated to the user is the maximum power reduction value; and the system variables related to the results of the current cycle are updated:
  • the judgment in this step can actually determine whether N - is equal to 0.
  • the foregoing radio resource allocation method may be applied to a scenario in which an OFDMA downlink system performs radio resource allocation, where the radio resources include: subcarriers and transmit power.
  • the subject of the above steps may be a radio resource allocation device, which may be a functional component of the base station.
  • Embodiments of the present invention provide a method for allocating radio resources, and determining an optimal throughput rate according to a correspondence between a system throughput rate and an intermediate energy optimal value, and when the system is in an optimal throughput rate, according to a maximum power
  • the subcarrier set determined by the priority algorithm and the power allocation set are reduced, and the radio resources are allocated according to the determined result, so that the downlink OFDMA system can allocate the radio resources according to the energy efficiency optimal scheme.
  • an embodiment of the present invention further provides a radio resource allocation apparatus, which may be specifically applied to a downlink OFDMA system.
  • all systems based on OFDMA technology are called OFDMA systems.
  • the downlink system based on the OFDMA technology may include: a downlink LTE WIMAX (Long Term Evolution - World Wide Interoperability for Microwave Access) system.
  • the radio resource allocation apparatus in this embodiment may be a downlink OFDMA.
  • Base station in the system may be a downlink OFDMA.
  • the wireless resource allocation device 50 includes:
  • the first determining unit 51 is configured to determine an optimal throughput rate of the system according to a correspondence between a system throughput rate and an intermediate energy optimal value;
  • a second determining unit 52 configured to: when the system is in an optimal throughput rate, determine a set of subcarriers and a power allocation set according to a maximum power reduction priority algorithm;
  • the allocating unit 53 is configured to allocate a subcarrier and a transmit power to the user according to the determined set of subcarriers and the set of power allocations.
  • the first determining unit 51 includes: determining a minimum subunit, acquiring a sub Unit and determine the optimal subunit.
  • the obtaining subunit is configured to obtain a derivative of an energy efficiency intermediate optimal function at a minimum throughput rate of the system; the energy efficiency intermediate optimal function is a system throughput rate, and an energy efficiency intermediate optimal value obtained by an energy efficiency function Correspondence relationship
  • the energy efficiency function is a ratio of a system throughput rate to a total system transmission power
  • the total transmission power of the system is a sum of a system transmission power and a system static circuit power.
  • constraint condition of the energy efficiency intermediate optimal function includes:
  • Each subcarrier is assigned to at most a unique user
  • the throughput rate on each subcarrier is non-negative
  • the system transmit power is less than or equal to the system transmit power peak; the sum of the user's weight values; the weight value is used to indicate fairness between users;
  • the weight of the user is a product of a difference between a current throughput rate of the system and a minimum throughput rate of the system and a user experience factor of the user; the minimum throughput of the system is a minimum throughput rate of all users. Sum;
  • the user experience factor of a user is the ratio of the minimum throughput rate of the user divided by the minimum throughput rate of the system; or, the user experience factor of a user is the amount of data in the queue of the user divided by the system.
  • the ratio of the amount of data in the queued queue; the amount of data in the queued queue of the system is the sum of the amount of data in the queued queues of all users.
  • the determining an optimal subunit is configured to determine an optimal throughput rate of the system according to a quasi-upward characteristic of the energy efficiency intermediate optimal function and a comparison result of the derivative with 0.
  • the determining the optimal subunit includes:
  • a first determining module configured to determine, according to a quasi-convex characteristic of the energy efficiency intermediate optimal function, a system minimum throughput rate of the system when the derivative is less than or equal to 0;
  • a second determining module configured to determine, according to the quasi-convex characteristic of the energy efficiency intermediate optimal function, that the derivative power is less than or equal to a peak value of a system transmit power, using a dichotomy method The optimal throughput rate of the system.
  • the second determining module includes:
  • Determining a submodule configured to determine a first boundary value and a second boundary value of the dichotomy when the derivative is greater than 0; wherein, the first boundary value is a system minimum throughput rate, and the second boundary a value of a system throughput rate such that the energy efficiency intermediate optimal function has a derivative of system throughput that is less than zero;
  • a calculation submodule configured to obtain an average of the first boundary value and the second boundary value; and in the case of the average, obtain a set of subcarriers and a power allocation set determined by using a maximum power reduction priority algorithm, and calculate the System transmit power;
  • Determining a loop sub-module configured to determine whether a transmit power of the system is greater than a peak value of a system transmit power
  • the first boundary value is unchanged, and the second boundary value is set to the average value, and the calculation module and the judgment loop module are cyclically operated until the obtained system transmit power is less than or Equal to the system transmit power peak;
  • the derivative of the energy efficiency intermediate optimal function to the system throughput rate is obtained at the last mean; in the case where the derivative is less than 0, the first boundary value is unchanged, and the second boundary value is set to the last mean value. And if the derivative is greater than 0, the first boundary value is set to the last average value, and the average of the first boundary value and the second boundary value is rounded to all steps of the step until the dichotomy converges ;
  • the maximum power reduction priority algorithm utilized in the second determining unit 52 includes:
  • An initialization subunit configured to initialize a system variable;
  • the system variables include: a number of users, a user throughput rate per user, a number of subcarriers allocated by each user, a set of subcarriers allocated by each user, and each user The allocated transmit power set, the number of all subcarriers, the unallocated set of subcarriers, the channel information assigned to any user per subcarrier, and the number of users of unassigned subcarriers;
  • a worst allocation subunit configured to respectively acquire, according to the channel information, a subcarrier with the worst channel condition for each user, and allocate each subcarrier according to a user throughput rate of each user and a worst condition of the channel condition to each Channel information of each user, determining a first baseline power of each user;
  • a cyclic subunit configured to run the following modules for each unallocated subcarrier; the cyclic subunit includes:
  • An optimal allocation module configured to: according to the channel information, from an unassigned set of subcarriers Obtaining subcarriers with optimal channel conditions for each user separately, and assigning channel information to each user according to the user throughput rate of each user, the subcarriers optimal for the channel condition, and combined with each user has been allocated a set of subcarriers, determining a second baseline power for each user;
  • obtaining a difference module configured to obtain a power reduction value of each user; the power reduction value is a difference between the first baseline power and the second baseline power;
  • An obtaining module configured to obtain a maximum power reduction value, where the acquiring module is configured to obtain a maximum value of all power reduction values as a maximum power reduction value, when the number of unallocated subcarriers is greater than the number of unallocated subcarriers When the number of unallocated subcarriers is equal to the number of users of the unassigned subcarriers, for the user whose number of allocated subcarriers is 0, the power reduction value of the user is increased by a preset offset to obtain new power. Decreasing the value, and obtaining the maximum value of the new power reduction value and the other power reduction value as the maximum power reduction value;
  • Determining a result module configured to determine a current cycle result according to the maximum power reduction value, and update a system variable related to a result of the current cycle; the current cycle result includes a subcarrier that is allocated in the current cycle, and the a user to which the subcarrier is allocated; a judgment loop module for judging whether all subcarriers are allocated; if not, continuing the loop on the basis of the updated system variable until all subcarriers are allocated; , then output a set of subcarriers and a set of power allocations.
  • the implementation manners of each unit, each subunit, and each module in the apparatus for allocating radio resources may refer to the foregoing radio resource allocation method.
  • the embodiment of the invention provides a device for allocating radio resources, and determining an optimal throughput rate of the system according to a correspondence between a system throughput rate and an intermediate energy optimal value, and when the system is in an optimal throughput rate, according to the maximum power
  • the subcarrier set determined by the priority algorithm and the power allocation set are reduced, and the radio resources are allocated according to the determined result, so that the downlink OFDMA system can allocate the radio resources according to the energy efficiency optimal scheme.
  • a person skilled in the art can understand that all or part of the steps of implementing the above method embodiments may be completed by using hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, and the program is executed when executed.
  • the foregoing steps include the steps of the foregoing method embodiments; and the foregoing storage medium includes: a medium that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention se rapporte à un procédé et à un dispositif pour la distribution de ressources sans fil. La présente invention appartient au domaine technique de la communication sans fil avec accès multiple par répartition en fréquences orthogonales (OFDMA, Orthogonal Frequency Division Multiple Access). L'invention a pour objectif de permettre à un système OFDMA sur la liaison descendante de distribuer les ressources sans fil en se basant sur le schéma optimal d'efficacité de la consommation d'énergie. Le procédé de distribution de ressources sans fil selon l'invention comprend les étapes suivantes : sur la base de la relation correspondante de la valeur optimale entre le rendement du système et son efficacité en termes de consommation d'énergie, le rendement optimal du système est déterminé ; quand le système se trouve dans la situation de rendement optimal, l'ensemble de sous-porteuses et l'ensemble de distribution de puissance sont déterminés sur la base de l'algorithme de priorité de diminution de puissance maximale ; sur la base de l'ensemble de sous-porteuses et de l'ensemble de distribution de puissance déterminés, la sous-porteuse et la puissance de transmission sont distribuées à des utilisateurs. La solution technique décrite dans la présente invention est adaptée à un scénario de distribution de ressources sans fil d'un système OFDMA sur la liaison descendante.
PCT/CN2011/077166 2011-07-14 2011-07-14 Procédé et dispositif pour la distribution de ressources sans fil WO2012159328A1 (fr)

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CN201180001244.6A CN103004275B (zh) 2011-07-14 2011-07-14 一种无线资源分配方法和装置

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