WO2001031945A1 - Systeme et procede de commande de puissance d'emission, d'acheminement et de repartition de communication economes en energie dans des reseaux de communication sans fil - Google Patents

Systeme et procede de commande de puissance d'emission, d'acheminement et de repartition de communication economes en energie dans des reseaux de communication sans fil Download PDF

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Publication number
WO2001031945A1
WO2001031945A1 PCT/US2000/029781 US0029781W WO0131945A1 WO 2001031945 A1 WO2001031945 A1 WO 2001031945A1 US 0029781 W US0029781 W US 0029781W WO 0131945 A1 WO0131945 A1 WO 0131945A1
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WO
WIPO (PCT)
Prior art keywords
mobile node
mobile
nodes
node
prediction
Prior art date
Application number
PCT/US2000/029781
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English (en)
Inventor
Hamilton Arnold
Daniel Devasirvatham
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Telcordia Technologies, Inc.
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.)
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Publication date
Application filed by Telcordia Technologies, Inc. filed Critical Telcordia Technologies, Inc.
Publication of WO2001031945A1 publication Critical patent/WO2001031945A1/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
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/28—TPC being performed according to specific parameters using user profile, e.g. mobile speed, priority or network state, e.g. standby, idle or non transmission
    • H04W52/283—Power depending on the position of the mobile
    • 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]
    • H04W28/26—Resource reservation
    • 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
    • H04W52/28—TPC being performed according to specific parameters using user profile, e.g. mobile speed, priority or network state, e.g. standby, idle or non transmission
    • H04W52/282—TPC being performed according to specific parameters using user profile, e.g. mobile speed, priority or network state, e.g. standby, idle or non transmission taking into account the speed of the mobile
    • 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
    • H04W52/38—TPC being performed in particular situations
    • H04W52/46—TPC being performed in particular situations in multi hop networks, e.g. wireless relay networks
    • 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
    • H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
    • H04W52/223—TPC being performed according to specific parameters taking into account previous information or commands predicting future states of the transmission
    • 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
    • H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
    • H04W52/226—TPC being performed according to specific parameters taking into account previous information or commands using past references to control power, e.g. look-up-table
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/02—Terminal devices
    • 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
    • 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

Definitions

  • This invention relates to wireless communication networks.
  • Wireless networks ranging from fixed infrastructure wireless networks such as most of the currently deployed cellular networks to independent, dynamic multi-hop networks, are using various types of power control technology to meet these needs.
  • a typical fixed infrastructure wireless network 100 is shown in Figure 1. It is divided into a plurality of cells 124. Each cell contains a fixed base station 126. Each base station 126 is connected to a centralized switch 128 that provides switching capabilities and acts as a gateway to wired networks such as the public switched telephone network (PSTN), the Internet, and other public and private data communications networks.
  • PSTN public switched telephone network
  • the mobile nodes 122 communicate with the base stations 126 over wireless communications links 108.
  • Dynamic, multi-hop networks consist of a plurality of mobile nodes that can act as transmitters, receivers and message routers and relays.
  • This additional routing capability allows multi-hop routing through intermediate nodes in addition to single hop routing from a source node to a destination node. For example, if propagation characteristics change significantly between a source and destination node, the lowest energy path may be through other intermediate nodes instead of a direct route between the two nodes. Because these networks do not contain fixed base stations, the individual mobile nodes communicate with each other over wireless communications links. This network structure allows the mobile nodes to move freely, generating rapidly changing network topologies.
  • Dynamic, multi-hop networks may also contain a plurality of mobile hub nodes. These mobile hubs act as traffic concentrators similar to base stations in a typical fixed mobile network except these hubs are capable of limited mobility. Dynamic, multi-hop networks containing mobile hubs can be considered hybrid networks because they combine characteristics of dynamic networks and fixed infrastructure networks.
  • a mobile node may need to increase transmitted power to maintain reliable communications when traveling behind a building or through a heavily forested area.
  • the mobile node may also benefit from adapting its transmission parameters (e.g., modulation, demodulation, and error control coding) to changing channel characteristics.
  • the use of significantly inappropriate transmission parameters would likely require a further increase in transmitted power to maintain reliable communications.
  • a mobile node may need to increase power and further adapt its transmission parameters to ensure reliable communication of data as its transmitted data rate increases.
  • CDMA networks can use both open-loop and closed loop methods to provide power control.
  • open-loop power control a transmitting mobile node estimates a transmission power based on measurements of the power level of signals received from the base station.
  • closed-loop power control a receiving node (e.g., a base station) measures power level received from a transmitting node (e.g., mobile node). The receiving node determines whether the measured power is within a pre-defined power level.
  • the receiving node Based on these measurements taken by the receiving node, the receiving node periodically communicates power control commands to the transmitting node (e.g., decrease power, increase power).
  • power control commands e.g., decrease power, increase power.
  • these prior techniques require a mobile node to be in continuous or nearly continuous two-way communication with other nodes to obtain measurement of the characteristics of all potential paths.
  • two mobile nodes When two mobile nodes are in continuous communication, they can exchange information on received signal power and signal quality and each mobile node can adjust its transmitter power and adapt its transmission parameters to expend the minimum energy needed to maintain communication as the propagation environment between them changes. If the characteristics of the propagation paths between mobile nodes are known through continuous use of the paths, rerouting decisions in a multihop network can also be made optimally to minimize overall energy.
  • An objective of our invention is to provide a system and method that will proactively predict optimal communications characteristics (e.g., power level, transmission parameters, communication time and location) without relying on prior network measurements. It is yet another objective of our invention to provide a system and method with future advanced reservation capabilities that will allow the scheduling of future transmission at the optimal communication time and place. It is a further objective of our invention to provide a system and method that will provide efficient power control and transmission parameter adaptation at a mobile node, thus reducing the drain on the mobile node's battery power and decreasing the energy radiating from a mobile node's antenna to accomplish a desired communication.
  • optimal communications characteristics e.g., power level, transmission parameters, communication time and location
  • Our invention is directed to energy efficient power control, transmission parameter adaptation, routing, and scheduling in a wireless network.
  • Our invention provides a wireless system that proactively predicts optimal characteristics such as power level, transmission parameters, transmission location, and time for communication between two nodes.
  • the wireless system includes adaptive predictive mobile nodes and an autonomous or distributed network controller.
  • the wireless system may also include traditional nodes such as handsets, mobile computers, and fixed base stations.
  • the adaptive predictive mobile nodes include a position location technology element, a database, and a prediction processor.
  • the prediction processor includes capabilities to predict the advantaged location, power level, transmission parameters, communication time, and route for communications between nodes.
  • the wireless network uses the adaptive predictive capabilities of mobile nodes and the supporting capabilities distributed throughout other network nodes to provide energy efficient power control, transmission parameter adaptation, and routing for communications between nodes.
  • the adaptive predictive mobile node determines its current and predicted future position, the current and future predicted positions of other nodes in the network, and the priority of the data to be communicated.
  • the adaptive predictive mobile node then executes the propagation prediction and power level prediction capabilities in the prediction processor. After executing these capabilities, the adaptive predictive node identifies an advantaged position, power level, and set of transmission parameters for communication with another node. This communication could comprise data transmission or data reception.
  • the adaptive predictive mobile node may execute a communication time prediction capability and identify the most advantaged time for communication at the selected location based on future predicted node locations.
  • the adaptive predictive node may also execute a route prediction capability and identify the most advantaged route for present or future communication. The adaptive predictive mobile node then communicates based on the identified criteria.
  • an adaptive predictive node can schedule communication with another node through communications with the autonomous or distributed network control entity.
  • the addition of scheduling to the efficient power control and routing provides an additional level of reliability for communicating nodes.
  • the adaptive predictive node identifies optimal characteristics for communication as described above in the first mode of operation (e.g., location, power level, transmission parameters, communication time, and route.) Instead of communicating only when the criteria are met, the adaptive predictive mobile node communicates a request for scheduling based on the criteria to the network control entity.
  • the network control entity determines whether the network can support the scheduling request and communicates the determination to the adaptive predictive node. If the request can be supported successfully, the node will communicate based on the criteria. If the request cannot be supported successfully, the node may identify alternative criteria and communicate another scheduling request to the network control entity.
  • Fig. 1 is a network diagram illustrating a typical fixed infrastructure wireless network.
  • Fig. 2 is a network diagram of an illustrative embodiment of a wireless network in accordance with our invention.
  • Fig. 3 depicts an illustrative adaptive predictive mobile node for the network of Fig. 2.
  • Fig. 4a is a flow diagram illustrating a method of providing efficient power control, transmission parameter adaptation, and routing.
  • Figure 4b is a flow diagram illustrating a method of providing efficient power control, transmission parameter adaptation, routing, and scheduling.
  • Fig. 5 depicts a network environment for the specific illustrative embodiment of our wireless network. DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
  • FIG. 2 depicts a wireless network 200 according to a specific illustrative embodiment of the invention.
  • This network can be a fixed infrastructure network, a dynamic multi-hop network, or a hybrid network containing characteristics of both a fixed and dynamic network.
  • the illustrative wireless network of figure 2 comprises one or more mobile nodes 202, each with adaptive predictive communications capabilities, a plurality of nodes 204 capable of transmitting and receiving mobile communications, and a network control entity 206.
  • Each adaptive predictive mobile node 202 communicates with other nodes 202 and 204 via wireless communications links.
  • the nodes 204 may be traditional wireless nodes such as handsets or mobile computers, stationary base stations, or mobile hub nodes.
  • the nodes 204 communicate with other mobile nodes 204 through wireless communications links or through wired links (e.g., base station to base station communication).
  • the nodes 202 and 204 may also have routing capabilities.
  • the network control entity 206 may be located on a single platform or its function may be distributed on a plurality of mobile nodes in accordance with a prior agreed upon network traffic control policy.
  • FIG 3 is a block diagram of an adaptive predictive mobile unit 202, in accordance with the invention.
  • Adaptive predictive mobile unit 202 includes a position location technology element 310, a prediction processor 312, and a database 314.
  • the prediction processor 312 may contain propagation, communication time, power level, transmission parameter, and routing prediction capabilities.
  • Database 314 contains information on factors that affect radio propagation (e.g., terrain, foliage, and cultural features) in a predetermined geographic area. Database 314 may also contain information on the current and predicted future locations of other mobile nodes.
  • the position location technology element 310 in the adaptive predictive mobile node 202 is advantageously a global positioning system (GPS).
  • GPS global positioning system
  • FIG. 4A An illustrative method of a first mode of operation in accordance with our invention is set forth in Figure 4A.
  • the method begins at step 415 when adaptive predictive mobile node 202 generates, obtains, or predicts that it will have data for transmission. Alternatively, in this step, the adaptive predictive mobile node 202 may predict that it will have a need to receive data.
  • Steps 425 through 445 describe the necessary steps for gathering of information necessary as input to the prediction processor 312. These steps can be preformed in any order.
  • the adaptive predictive mobile node 202 calculates its current position using the position location technology element 310.
  • the adaptive predictive mobile node 202 must also determine the current and future locations of a target node in step 435.
  • the target node can be another mobile node, a fixed base station, a hub mobile node having base station-like capabilities, or any communication device capable of receiving the transmission.
  • the target node will be a destination node for the transmission.
  • the target node will be an origination node.
  • the adaptive predictive mobile node 202 obtains a future node motion profile for the destination node stored in the database 314.
  • the future node motion profile is a profile detailing the planned or predicted trajectory of a mobile node. This information can be updated at any time and stored in database 314 of the adaptive predictive node 202.
  • the future node motion profile may have been obtained through previous communication with the node.
  • the adaptive predictive mobile node 202 obtains the current location of the target node over the wireless link. That is, the target node may broadcast its current location and planned trajectory periodically (e.g., every 60 seconds) or may respond to a location query from the adaptive predictive mobile node 202. Based on this information and knowledge of previous velocity and trajectory, the adaptive predictive mobile node 202 can estimate the future locations of the target node.
  • the adaptive predictive mobile node identifies the delivery priority, if any, of the data to be transmitted. For example, not all messages to and from a mobile node will have equal message delivery priority. Some urgent messages will require immediate delivery, while others can tolerate significant delivery delay. The maximum delivery delay that can be tolerated sets the time constraints for data delivery. After the necessary input information is obtained and sent to the prediction processor
  • the adaptive predictive mobile node 202 determines the advantaged location, communication time, transmission parameters, and power level for transmission or reception. Steps 455 through 466, describing the prediction processes, can be performed in any order.
  • the adaptive predictive mobile node 202 performs propagation prediction in the prediction processor 312 (step 455).
  • the propagation prediction capability determines the character of present and future paths between the adaptive predictive node 202 and the target node based on the current and anticipated future positions of the adaptive predictive node 202 and the target node. More than one possible future motion profile may exist for a given adaptive predictive node 202. If this occurs, the prediction processor 312 may recommend to the user of the adaptive predictive node 202 that a particular future motion profile be followed to go by the most advantaged location for communication at the most advantaged time.
  • the propagation prediction capability of the prediction processor 312 may be based on any existing or future radio channel prediction algorithm.
  • the function of this algorithm is to predict the transmission characteristics of the radio path between two nodes based on the topography and the natural and cultural features of the geographic area such as trees and buildings.
  • Examples of such algorithms include the TIREM (Terrain Integrated Rough Earth Model) and Longley-Rice algorithms, which include only topographic features, and ray-tracing algorithms that also incorporate buildings.
  • TIREM Transmission Integrated Rough Earth Model
  • Longley-Rice algorithms which include only topographic features
  • ray-tracing algorithms that also incorporate buildings.
  • Existing and future algorithms which also include the effects of foliage, may advantageously be incorporated into the prediction processor within the scope of this invention.
  • the adaptive predictive node 202 also predicts the advantaged communication time, transmission parameters, and power level for communication (steps 460, 462, and 465) using capabilities in the prediction processor.
  • the adaptive predictive mobile node may also predict an advantaged route through the network that best meets the latency and energy constraints for the communications link or for the overall network (step 466). This routing prediction can be performed autonomously by the adaptive predictive mobile node 202 or through communication with a network control entity 206.
  • the adaptive predictive mobile node 202 attempts transmission when it reaches the determined advantaged location and time (step 495) using the predicted transmitted power and transmission parameters.
  • the adaptive predictive mobile node 202 attempts to receive data at the determined advantaged location and time (step 495).
  • the calculated advantaged criteria represent the position and time for communication with the highest probability of success using the lowest transmitted energy and meeting the time constraints for data delivery.
  • the most advantaged position and time could be the present time and position or some position in the future.
  • An illustrative method of a second mode of operation in accordance with our invention is set forth in Figure 4B. In this mode of operation, steps 415 through 466 are identical to those described above.
  • the node 202 communicates with a network control entity 206 for the wireless network to request scheduling at the determined advantaged time and place for the bandwidth and duration required (step 475).
  • the network control entity 206 may be distributed among all nodes.
  • the network control entity 206 determines whether the network can support the scheduling request based on the network's current and anticipated traffic load and other received reservations.
  • the network control entity 206 communicates to the adaptive predictive mobile node 202 and all other nodes involved in the transmission that the bandwidth is reserved for the scheduled position, time, and duration. In this mode of operation, the adaptive predictive mobile node 202 then transmits when it reaches the scheduled position and time (step 495). To aid transmission, the network control entity 206 can also make a directive to other network nodes to cease or restrict transmission at the time reserved.
  • the network control entity 206 communicates to the adaptive predictive mobile node 202 that the request for transmission at the determined position and time has been denied. The process then returns to step 455 and the adaptive predictive mobile node 202 determines another advantaged position, time, and set of parameters for transmission.
  • the adaptive predictive mobile node 202 communicates to the network control entity 206 the alternate position, communication time, and transmission parameters. The network control entity 206 then determines whether to schedule the transmission at the requested position and time (step 480). The network control entity 206 communicates the decision to the adaptive predictive mobile node 202 and to all other nodes involved in the transmission, as before.
  • adaptive predictive mobile node 202 has a need to transmit 10 Mb of data within 3 minutes to destination node 520.
  • Destination node 520 could be a node with adaptive predictive -in ⁇
  • the adaptive predictive mobile node 202 determines that the area numbered 560 represents an area with a low probability of successful communications, the areas numbered 570 and 571 represent areas with a medium probability of successful communications, and the areas numbered 580, 581 , and 582 represent areas with a high probability of successful communications.
  • Mobile node 202 has a choice of two paths, path 530 and 540. Based on the results of the propagation prediction algorithm, adaptive predictive mobile node 202 determines that path 530 offers the best route for transmission purposes and position 532 represents an advantaged position along path 530 for the transmission.
  • the node 202 recommends to the user that path 530 be followed and attempts transmission at location 532 at the determined time T1 using the predicted amount of transmission power and the predicted transmission parameters. If the adaptive predictive mobile 202 is operating in the second mode of operation, the node 202 recommends to the user that path 530 be followed and requests scheduling for transmission of 10 Mb of data at position 532 and time T1 , provided that T1 is within 3 minutes of the present time. In response to this request, the network control entity 206 determines whether the network can support the scheduling request. If the network can support the request, the network control entity 206 communicates to the adaptive predictive mobile node 202 that 10Mb of bandwidth is reserved for position 532 at time T1.

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

Abstract

L'invention concerne un système mobile servant à prédire des caractéristiques destinées à assurer une communication optimale entre des noeuds mobiles. Le système mobile comprend un gestionnaire de réseau et des noeuds mobiles prédictifs adaptatifs. Les noeuds mobiles prédictifs adaptatifs mettent en oeuvre une technologie de localisation, une base de données contenant des informations sur l'effet de propagation radioélectrique, et un processeur de prévisions. Le noeud mobile détermine sa position courante, prédit sa future position, et exécute un ensemble de fonctions de prévision dans le processeur de prévisions. Après exécution de ces fonctions de prévision, le noeud prédictif adaptatif identifie l'emplacement favorable, le niveau de puissance, les paramètres de transmission, la durée de communication et la voie d'acheminement des communications entre les noeuds. Le noeud mobile prédictif adaptatif peut alors communiquer lorsque les critères sont remplis ou demander une répartition. Pour demander une répartition, le noeud mobile prédictif adaptatif communique les critères identifiés à l'entité de gestion du réseau.
PCT/US2000/029781 1999-10-28 2000-10-27 Systeme et procede de commande de puissance d'emission, d'acheminement et de repartition de communication economes en energie dans des reseaux de communication sans fil WO2001031945A1 (fr)

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US16194999P 1999-10-28 1999-10-28
US60/161,949 1999-10-28

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WO2004034723A2 (fr) * 2002-10-08 2004-04-22 Matsushita Electric Industrial Co., Ltd. Terminal et systeme d'acquisition d'informations
US6735417B2 (en) 2002-08-15 2004-05-11 Motorola, Inc. Method and apparatus for relaying information in an AD-HOC network
US6750813B2 (en) 2002-07-24 2004-06-15 Mcnc Research & Development Institute Position optimized wireless communication
WO2004091149A2 (fr) * 2003-04-09 2004-10-21 International Business Machines Corporation Procede et appareil d'enregistrement de donnees
WO2004091172A1 (fr) * 2003-04-09 2004-10-21 International Business Machines Corporation Procede et appareil d'enregistrement de donnees
WO2005069716A2 (fr) * 2004-01-23 2005-08-04 Coppe/Ufrj - Coordenação Dos Programas De Pós Graduação De Engenharia Da Universidade Federal Do Rio De Janeiro Procede d'ajustement de puissance d'equipements mobiles sans fil repartis sur un terrain en fonction du profil d'obstacles du terrain et de la distribution probabiliste spatiale des equipements
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US6750813B2 (en) 2002-07-24 2004-06-15 Mcnc Research & Development Institute Position optimized wireless communication
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CN1732699B (zh) * 2002-12-30 2010-08-18 摩托罗拉公司 向无线的移动无线装置提供流送信息的方法和设备
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