Classifications

• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
  • G06F1/16—Constructional details or arrangements
  • G06F1/20—Cooling means
  • G06F1/203—Cooling means for portable computers, e.g. for laptops
• • G—PHYSICS
  • G06—COMPUTING OR CALCULATING; COUNTING
  • G06F—ELECTRIC DIGITAL DATA PROCESSING
  • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
  • G06F1/16—Constructional details or arrangements
  • G06F1/20—Cooling means
  • G06F1/206—Cooling means comprising thermal management
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L43/00—Arrangements for monitoring or testing data switching networks
  • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
  • H04L43/0876—Network utilisation, e.g. volume of load or congestion level
  • H04L43/0888—Throughput
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L43/00—Arrangements for monitoring or testing data switching networks
  • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
  • H04L43/0876—Network utilisation, e.g. volume of load or congestion level
  • H04L43/0894—Packet rate
• • 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
  • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Definitions

• Prior art modem management methods adjust modem processing speeds in view of operating temperature only. As such, prior art modem management methods fail to optimize a QoS level as it may be measured by any performance indicator other than device temperature. The result of prior art modem management methods is that a user experience of the PCD may not be optimized when the modem operating temperature is safely below a critical threshold. Accordingly, what is needed in the art is a method and system for modem management based on key performance indicators other than operating temperature alone.
• modems operable for aggregation of LTE carrier bandwidths may be particularly suitable for management and control via a KPI-based strategy.
• KPIs include, but arc not limited to, lower device temperature, maximization of the percentage of time that the modem is operating at a maximum advertised LTE speed, maximization of the average data throughput (such as during the download or upload of a large file or application), maximization of battery life (such as for energy efficiency in download or upload of a large file or application), minimizing LTE speed transitions over a duration (such as to minimize frequency that the modem transitions from one LTE mode to another), etc.
• KPI key performance indicators
• FIG. 6 is a pair of complimentary graphs illustrating an exemplary modem management strategy based on a key performance indicator ("KPI") of maximizing energy efficiency;
• KPI key performance indicator
• FIG. 7 is a pair of complimentary graphs illustrating an exemplary modem management strategy based on a key performance indicator ("KPI") of minimizing the rate of mode transitions;
• KPI key performance indicator
• FIG. 8 is a logical flowchart illustrating an embodiment of a method for modem management based on key performance indicators.
• FIG. 9 is a schematic diagram illustrating an exemplary software architecture of the PCD of FIG. 2 for supporting modem management based on various KPI-based strategies.
• an “application” may also include files having executable content, such as: object code, scripts, byte code, markup language files, and patches.
• an "application” referred to herein may also include files that are not executable in nature, such as documents that may need to be opened or other data files that need to be accessed.
• a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer.
• an application running on a computing device and the computing device may be a component.
• One or more components may reside within a process and/or thread of execution, and a component may be localized on one computer and/or distributed between two or more computers.
• these components may execute from various computer readable media having various data structures stored thereon.
• the components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems by way of the signal).
• modem refers to a processing component in a system on a chip that is operable to modulate and demodulate signals transmitted over a cellular communications network.
• Certain embodiments of the solution envision management of a modem configured for long term evolution (“LTE”) wireless broadband (e.g., LTE cat 6, cat 7, cat 9, cat 1 1, LTE-U, etc.) and operable to aggregate a plurality of LTE bandwidths associated with a plurality of respective carriers on a cellular communications network.
• LTE long term evolution
• an eNodeB is an element of an LTE Radio Access Network, or E-UTRAN. Reference to an eNodeB in this description also envisions an HeNB that essentially performs the same function of an eNodeB, but is optimized for deployment for smaller coverage ranges, such as indoor premises and public hotspots.
• PCD portable computing device
• PCD portable computing device
• 3G third generation
• 4G fourth generation
• a PCD in this description may be any device equipped with a modem such as, but not limited to, a cellular telephone, a satellite telephone, a pager, a PDA, a smartphone, a navigation device, a smartbook or reader, a media player, a combination of the aforementioned devices, and a laptop computer with a wireless connection.
• Exemplary KPIs include, but are not limited to, lower device temperature, maximization of the percentage of time that the modem is operating at a maximum advertised LTE speed, maximization of the average data throughput (such as during the download or upload of a large file or application), maximization of battery life (such as for energy efficiency in download or upload of a large file or application), minimizing LTE speed transitions over a duration (such as to minimize frequency that the modem transitions from one LTE mode to another), etc.
• embodiments of the solution may optimize QoS from the point of view of the end user. For example, consider the scenario wherein a user purchased a PCD that supports LTE carrier aggregation cat 9 and desires to know how often and long the PCD utilizes an advertised peak modem data rate. An embodiment of the solution that manages the modem functionality in view of a peak data rate KPI may optimize the QoS experienced by the user.
• Embodiments of the solution provide modem management or control using selectable modem management algorithms that utilize different KPIs as triggers.
• a modem management strategy associated with the correct KPI may be selected and executed. It is envisioned that certain embodiments of the solution, for more accurate thermal control and energy consumption calculation, may utilize part-specific information such as per-part leakage and operating voltage.
• System status information that may be used by certain embodiments to determine an optimal KPI-based modem management strategy includes, but is not limited to, modem performance mode, data rate, use cases, running applications, on/off status of display component, remaining battery capacity, temperature sensor readings, channel bands used, receiving or transmitting signal strength, etc.
• the MMC module 101 may receive a manual input 25 from a user that dictates a key performance indicator for modem functionality or may receive an input 25 that dictates automatic selection of a KPI based on analysis of system status information. If the KPI input 25 is manually entered by a user of the PCD 100, the MMC module 101 may select a modem management algorithm from the KPI strategy store 24 that is associated with the user-selected KPI. Alternatively, if the KPI input 25 is dictated automatically, the MMC module 101 may leverage system status information and/or information associated with the modem 169 to determine an appropriate KPI. Based on the determined KPI, the MMC module 101 may select a modem management algorithm form the KPT strategy store 24 that is associated with the automatically determined KPT.
• the embodiments of the solution manage and control a modem based on the selection or identification of a KPI
• a given modem management algorithm may be overridden in the event that a junction temperature, such as might be measured by temperature sensor 157 and monitored by monitor module 114, exceeds a predetermined threshold.
• an embodiment of the solution may default to a thermal management based modem control scheme.
• FIG. 2 is a functional block diagram of an exemplary, non- limiting aspect of a portable computing device ("PCD”) in the form of a wireless telephone for
• PCD portable computing device
• the PCD 100 includes an on-chip system 102 that includes a heterogeneous multi-core central processing unit (“CPU") 110 and an analog signal processor 126 that are coupled together.
• the CPU 110 may comprise a zeroth core 222, a first core 224, and an Nth core 230 as understood by one of ordinary skill in the art.
• a digital signal processor may also be employed as understood by one of ordinary skill in the art.
• each of the cores 222, 224, 230 may process workloads at different efficiencies under similar operating conditions.
• the modem management and control (“MMC") module(s) 101 may receive modem related and/or system data from the monitor module 114 and use the data to select a KPI and its associated modem management strategy.
• the MMC modules 101 may receive a manual input of a KPI and, based on that KPI, select and implement an associated modem management strategy.
• the monitor module 1 14 communicates with multiple operational sensors (e.g., thermal sensors 157) distributed throughout the on-chip system 102 and with the modem 169 of the PCD 100 as well as with the MMC modulc(s)101.
• a display controller 128 and a touchscreen controller 130 are coupled to the digital signal processor 110.
• a touchscreen display 132 external to the on-chip system 102 is coupled to the display controller 128 and the touchscreen controller 130.
• PCD 100 may further include a video decoder 134, e.g., a phase-alternating line (“PAL”) decoder, a sequential coulcur avcc mcmoirc (“SECAM”) decoder, a national television system(s) committee (“NTSC”) decoder or any other type of video decoderl 34.
• the video decoder 134 is coupled to the multi-core central processing unit (“CPU") 110.
• a video amplifier 136 is coupled to the video decoder 134 and the touchscreen display 132.
• a video port 138 is coupled to the video amplifier 136.
• a universal serial bus (“USB”) controller 140 is coupled to the CPU 1 10.
• USB port 142 is coupled to the USB controller 140.
• a memory 112 and a subscriber identity module (SIM) card 146 may also be coupled to the CPU 110.
• SIM subscriber identity module
• a digital camera 148 may be coupled to the CPU 110.
• the digital camera 148 is a charge-coupled device (“CCD”) camera or a complementary metal-oxide semiconductor (“CMOS”) camera.
• CCD charge-coupled device
• CMOS complementary metal-oxide semiconductor
• a stereo audio CODEC 1 50 may be coupled to the analog signal processor 126.
• an audio amplifier 152 may be coupled to the stereo audio CODEC 150.
• a first stereo speaker 154 and a second stereo speaker 156 are coupled to the audio amplifier 152.
• FIG. 2 shows that a microphone amplifier 158 may be also coupled to the stereo audio CODEC 150.
• a microphone 160 may be coupled to the microphone amplifier 1 8.
• a frequency modulation ("FM") radio tuner 162 may be coupled to the stereo audio CODEC 150.
• an FM antenna 164 is coupled to the FM radio tuner 162.
• stereo headphones 166 may be coupled to the stereo audio CODEC 150.
• FIG. 2 further indicates that a radio frequency (“RF") transceiver 168 may be coupled to the analog signal processor 126.
• An RF switch 170 may be coupled to the RF transceiver 168 and an RF antenna 172.
• a keypad 174 may be coupled to the analog signal processor 126.
• a mono headset with a microphone 176 may be coupled to the analog signal processor 126.
• a vibrator device 178 may be coupled to the analog signal processor 126.
• FIG. 2 also shows that a power supply 180, for example a battery, is coupled to the on-chip system 102.
• the power supply includes a rechargeable DC battery or a DC power supply that is derived from an alternating current (“AC”) to DC transformer that is connected to an AC power source.
• AC alternating current
• the CPU 110 and/or monitor module 114 may also be coupled to one or more internal, on-chip thermal sensors 157A as well as one or more external, off-chip thermal sensors 157B.
• the on-chip thermal sensors 157A may comprise one or more proportional to absolute temperature (“PTAT”) temperature sensors that arc based on vertical PNP structure and are usually dedicated to complementary metal oxide semiconductor (“CMOS”) very large-scale integration (“VLSI”) circuits.
• CMOS complementary metal oxide semiconductor
• VLSI very large-scale integration
• the off-chip thermal sensors 157B may comprise one or more thermistors.
• the thermal sensors 157 may produce a voltage drop that is converted to digital signals with an analog-to-digital converter (“ADC”) controller 103.
• ADC analog-to-digital converter
• other types of thermal sensors 157 may be employed without departing from the scope of the invention.
• the MMC module(s) 101 may comprise software that is executed by the CPU 1 10. However, the MMC module(s) 101 may also be formed from hardware and/or firmware without departing from the scope of the invention.
• the MMC modulc(s) 101 may be responsible for querying system performance data and/or receiving indications of system performance and, based on an analysis of the data, selecting an appropriate KPI and its associated modem management strategy.
• the touchscreen display 132, the video port 138, the USB port 142, the camera 148, the first stereo speaker 154, the second stereo speaker 156, the microphone 160, the FM antenna 164, the stereo headphones 166, the RF switch 170, the RF antenna 172, the keypad 174, the mono headset 176, the vibrator 178, thermal sensors 157B, and the power supply 180 are external to the on-chip system 102.
• the monitor module 1 14 may also receive one or more indications or signals from one or more of these external devices by way of the analog signal processor 126 and the CPU 1 10 to aid in the real time management of the resources operable on the PCD 100 such as the modem 169.
• one or more of the method steps described herein may be implemented by executable instructions and parameters stored in the memory 112 that form the one or more MMC module(s) 101.
• the instructions that form the MMC module(s) 101 may be executed by the CPU 110, the analog signal processor 126, or another processor in addition to the ADC controller 103 to perform the methods described herein.
• the processors 1 10, 126, the memory 1 12, the instructions stored therein, or a combination thereof may serve as a means for performing one or more of the method steps described herein.
• FIG. 3 is a pair of complimentary graphs 300 illustrating an exemplary modem management strategy based on a key performance indicator ("KPI") of power/energy efficiency.
• KPI key performance indicator
• a KPI-based modem management strategy that controls a modem based on an energy efficiency KPI may be useful in scenarios such as, but not limited to, a low battery capacity. Low battery levels may, for example, be recognized by the monitor module 1 14 and trigger the MMC module 101 to implement a modem management strategy that optimizes QoS in view of the appropriate KPI. Alternatively, it is envisioned that a user may manually select the KPI in lieu of an automatic selection.
• a power consumption level may be determined via a function of various system information provided to the MMC module 101 via the monitor module 114. Based on the power level, the MMC module 101 may increase or decrease the data rate and/or carrier aggregation of the modem 169 in order to maintain the PCD 100 at a certain target power level or energy efficiency.
• Energy efficiency Mbps/mW
• Mbps/mW may be defined as the amount of data (Mbps) transferred by the modem 169 per unit of power (mW) consumed by the modem 169.
• an MMC module 101 may govern the modem's 169 data transfer rate under power limited circumstances such as thermal mitigation modes or limited battery capacity.
• energy efficiency for a modem 169 may be worse at low data rate scenarios while in other instances the energy efficiency may suffer at high data rates (e.g., due to high power consumption associated with multi-carrier aggregation and Turbo mode).
• an exemplary modem 169 may be managed by an MMC module 101 according to an energy efficiency KPI and within the bounds of the modem control curve.
• the top graph of FIG. 3 maps power consumption (y-axis) against data rate (x-axis) for a given LTE modem 169.
• the bottom graph of FIG. 3 maps energy efficiency (y-axis) against data rate (x-axis) for the same exemplary LTE modem 169.
• a modem management strategy may drive the modem 169 to a single LTE carrier bandwidth when the data rate is low, then drive the modem 169 to a double carrier aggregation when the data rate is in a mid-range, and then cause the modem 169 to implement a triple carrier aggregation when the data rate is high.
• the power consumption level increases for each increase in carrier aggregation level.
• Point 305 represents the highest data rate of over 400 Mbps for which the exemplary LTE modem 169 is capable.
• a modem management strategy driven by an energy efficiency KPI may drive the modem to point 310 which presents the best efficiency per data rate unit.
• the exemplary LTE modem 169 achieves a highest efficiency rating of nearly 0.25 Mbps per mW of energy consumed. Consequently, the exemplary KPT-based modem management strategy illustrated in FIG. 1 may drive the data rate of the modem 169 to right at 300 Mbps (point 310).
• FIG. 4 is a pair of complimentary graphs 400 illustrating an exemplary modem management strategy based on a key performance indicator ("KPI") of maximizing the percentage of time at which the modem is performing at a peak data rate.
• KPI key performance indicator
• a KPI-based modem management strategy that controls a modem based on a KPI for maximizing the percentage of time at which the modem is performing at a peak data rate may be useful in scenarios such as, but not limited to, a demonstration mode for carrier aggregation and maximum speed capabilities.
• a demonstration use case may, for example, be recognized by the monitor module 1 14 and trigger the MMC module 101 to implement a modem management strategy that optimizes QoS in view of the appropriate KPI.
• a user may manually select the KPI in lieu of an automatic selection.
• an exemplary modem 169 may be managed by an MMC module 101 according to a KPI for maximizing the percentage of time at which the modem is performing at a peak data rate and within the bounds of the modem control curve.
• the top graph of FIG. 4 maps power consumption (y-axis) against data rate (x-axis) for a given LTE modem 169.
• the bottom graph of FIG. 4 maps energy efficiency (y-axis) against data rate (x-axis) for the same exemplary LTE modem 169.
• a modem management strategy may drive the modem 169 to point 405 associated with a triple carrier aggregation level and keep it there for as long as possible before toggling the modem set point down to a much lower point 410 associated with a LTE single carrier bandwidth.
• the exemplary modem management strategy may allow the modem data rate to reside at the maximum rate 405 for as long as possible without the average power consumption over a period of time exceeding a thermal power budget level (as indicated by the dashed line in the upper graph).
• the exemplary KPI-based modem management algorithm may utilize the maximum available carrier aggregation allowed by a local eNodeB in the cellular network so long as a maximum temperature threshold associated with the modem 169 is not exceeded. When the temperature threshold is exceeded, the exemplary KPI-based modem management algorithm may reduce the carrier
• FIG. 5 is a pair of complimentary graphs 500 illustrating an exemplary modem management strategy based on a key performance indicator ("KPI") of maximizing the average data rate.
• KPI key performance indicator
• a KPI-based modem management strategy that controls a modem based on a KPI for maximizing the average data rate may be useful in scenarios such as, but not limited to, downloading a large multimedia file. Downloading a large multimedia file may, for example, be recognized by the monitor module 114 and trigger the MMC module 101 to implement a modem management strategy that optimizes QoS in view of the appropriate KPT. Alternatively, it is envisioned that a user may manually select the KPI in lieu of an automatic selection.
• an exemplary modem 169 may be managed by an MMC module 101 according to a KPI for maximizing the average data rate throughput and within the bounds of the modem control curve.
• the top graph of FIG. 5 maps power consumption (y-axis) against data rate (x-axis) for a given LTE modem 169.
• the bottom graph of FIG. 5 maps energy efficiency (y-axis) against data rate (x-axis) for the same exemplary LTE modem 169.
• a modem management strategy may drive the modem 169 to point 505 associated with a triple carrier aggregation level and then toggle the modem set point down to a point 510 associated with a LTE double carrier bandwidth.
• the exemplary modem management strategy may allow the modem data rate to average at a highest rate without the average power consumption over a period of time exceeding a thermal power budget level (as indicated by the dashed line in the upper graph) or the average minimum efficiency falling below a target floor (as indicated by the dashed line in the lower graph).
• the exemplary KPI-based modem management algorithm may limit the LTE mode and data rate to the operating range that keeps the energy efficiency of the modem 169 above a minimum threshold.
• FIG. 6 is a pair of complimentary graphs 600 illustrating an exemplary modem management strategy based on a key performance indicator ("KPI") of maximizing energy efficiency.
• KPI key performance indicator
• a KPI-based modem management strategy that controls a modem based on a KPI for maximizing energy efficiency may be useful in scenarios such as, but not limited to, low battery capacity.
• Low battery capacity or a screen "off status may, for example, be recognized by the monitor module 114 and trigger the MMC module 101 to implement a modem management strategy that optimizes QoS in view of the appropriate KPI.
• a user may manually select the KPI in lieu of an automatic selection.
• an exemplary modem 169 may be managed by an MMC module 101 according to a KPI for maximizing energy efficiency and within the bounds of the modem control curve.
• the top graph of FIG. 6 maps power consumption (y-axis) against data rate (x-axis) for a given LTE modem 169.
• the bottom graph of FIG. 6 maps energy efficiency (y-axis) against data rate (x-axis) for the same exemplary LTE modem 169.
• a modem management strategy may drive the modem 169 to point 605 associated with an LTE double carrier aggregation bandwidth.
• the exemplary modem management strategy may set the modem data rate to a speed that will not cause the average power consumption over a period of time to exceed a thermal power budget level (as indicated by the dashed line in the upper graph) and provides the highest energy efficiency per data amount transmitted.
• the exemplary KPI-based modem management algorithm may limit the LTE mode and data rate to the one operating point associated with the best energy efficiency.
• FIG. 7 is a pair of complimentary graphs 700 illustrating an exemplary modem management strategy based on a key performance indicator ("KPI") of minimizing the rate of mode transitions.
• KPI key performance indicator
• a KPI-based modem management strategy that controls a modem based on a KPI for minimizing the rate of mode transitions may be useful in scenarios such as, but not limited to, a user preference.
• an exemplary modem 169 may be managed by an MMC module 101 according to a KPT for minimizing the rate of mode transitions and within the bounds of the modem control curve.
• the top graph of FIG. 7 maps power consumption (y-axis) against data rate (x-axis) for a given LTE modem 169.
• the bottom graph of FIG. 7 maps energy efficiency (y-axis) against data rate (x-axis) for the same exemplary LTE modem 169.
• a modem management strategy may drive the modem 169 to point 705 associated with an LTE triple aggregation bandwidth and then toggle the modem down to point 710 in order to keep the average power consumption over a period of time below a thermal power budget level (as indicated by the dashed line in the upper graph).
• the exemplary modem management strategy may reduce the thermal power budget level and/or reduce a temperature threshold associated with the modem 169 and/or increase a timer value for maintaining the set point at 710. In these ways, the exemplary modem management strategy may drive the modem to remain at the LTE single carrier point of 710 for as long as possible before conditions allow a ramp up to point 705.
• the QoS experienced by the user may be enhanced in view of the KPI for minimizing LTE speed mode transitions (The user may not experience many modem speed transitions that adversely impact user experience).
• the plots of power consumption and energy efficiency in FIG 3, 4, 5, 6, and 7 are examples and may vary depending on system designs (modem chip design, RF/PA chipset design) and communication network status (distance between the mobile system and the base station, RF signal strength or each carrier frequency band, frequency bands used for carrier aggregation), as one of ordinary skill in the art would understand. In some other designs or communication network status, it is envisioned that a case of 3x carrier aggregation or single carrier may provide better energy efficiency. The optimal operating point may be different in different power consumption and energy efficiency trends based on the same modem management and control strategy explained above.
• FIG. 8 is a logical flowchart illustrating an embodiment of a method 800 for modem management based on key performance indicators.
• the modem management and control (“MMC") module 101 may determine if the user has manually selected a KPI or if the system is set for automatic recognition of a KPI.
• the "yes" branch is followed to block 820 and the MMC module 101 selects and implements a modem management strategy associated with the user-selected KPT.
• the method 800 may proceed from decision block 810 via the "no" branch to block 815.
• the MMC module 101 working with the monitor module 114, may receive system status information and, from the information, determine an appropriate KPI.
• the method 800 proceeds to block 820 and the MMC module 101 selects and implements a modem management strategy associated with the automatically selected KPI.
• the method 800 returns.
• FIG. 9 is a schematic diagram illustrating an exemplary software architecture of the PCD of FTG. 2 for supporting modem management based on various KPT-based strategies.
• the CPU or digital signal processor 110 is coupled to the memory 112 via a bus 21 1.
• the CPU 110 may be a multiple-core, heterogeneous processor having N core processors. That is, the CPU 1 10 includes a first core 222, a second core 224, and an ⁇ core 230.
• each of the first core 222, the second core 224 and the N th core 230 are available for supporting a dedicated application or program and, as part of a
• heterogeneous processor may provide differing levels of performance under similar operating conditions.
• one or more modem management related applications or programs can be distributed for processing across two or more of the available heterogeneous cores.
• the CPU 110 may receive commands from the MMC module(s) 101 that may comprise software and/or hardware. If embodied as software, the MMC module 101 comprises instructions that are executed by the CPU 110 that issues commands to other application programs being executed by the CPU 110 and other processors.
• the first core 222, the second core 224 through to the Nth core 230 of the CPU 1 10 may be integrated on a single integrated circuit die, or they may be integrated or coupled on separate dies in a multiple-circuit package.
• Designers may couple the first core 222, the second core 224 through to the ⁇ ⁇ core 230 via one or more shared caches and they may implement message or instruction passing via network topologies such as bus, ring, mesh and crossbar topologies.
• Bus 211 may include multiple communication paths via one or more wired or wireless connections, as is known in the art.
• the bus 211 may have additional elements, which are omitted for simplicity, such as controllers, buffers (caches), drivers, repeaters, and receivers, to enable communications. Further, the bus 211 may include address, control, and/or data connections to enable appropriate communications among the aforementioned components.
• controllers buffers (caches), drivers, repeaters, and receivers
• the bus 211 may include address, control, and/or data connections to enable appropriate communications among the aforementioned components.
• startup logic 250 management logic 260, KPI-based modem management and control interface logic 270, applications in application store 280 and portions of the file system 290 may be stored on any computer-readable medium 112 for use by or in connection with any computer-related system or method.
• a computer-readable medium is an electronic, magnetic, optical, or other physical device or means that can contain or store a computer program and data for use by or in connection with a computer-related system or method.
• the various logic elements and data stores may be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
• a "computer- readable medium” can be any means that can store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
• the computer-readable medium can be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette
• the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for instance via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
• the various logic may be implemented with any or a combination of the following technologies, which are each well known in the art: a discrete logic circuit(s) having logic gates for implementing logic functions upon data signals, an application specific integrated circuit (ASIC) having appropriate combinational logic gates, a programmable gate array(s) (PGA), a field programmable gate array (FPGA), etc.
• ASIC application specific integrated circuit
• PGA programmable gate array
• FPGA field programmable gate array
• the memory 1 12 is a non- volatile data storage device such as a flash memory or a solid-state memory device. Although depicted as a single device, the memory 112 may be a distributed memory device with separate data stores coupled to the digital signal processor (or additional processor cores).
• the startup logic 250 includes one or more executable instructions for selectively identifying, loading, and executing a select algorithm for KPI-based modem management.
• the management logic 260 includes one or more executable instructions for terminating KPI-based modem management strategy, as well as selectively identifying, loading, and executing a more suitable replacement program for KPI-based modem management.
• the management logic 260 is arranged to perform these functions at run time or while the PCD 100 is powered and in use by an operator of the device.
• a replacement program can be found in the program store 296 of the embedded file system 290.
• the replacement program when executed by one or more of the core processors in the digital signal processor, may operate in accordance with one or more signals provided by the MMC module 101 and monitor module 114.
• the monitor module 114 may provide one or more indicators of events, processes, applications, resource status conditions, elapsed time, temperature, etc in response to control signals originating from the MMC module 101.
• the interface logic 270 includes one or more executable instructions for presenting, managing and interacting with external inputs to observe, configure, or otherwise update information stored in the embedded file system 290.
• the interface logic 270 may operate in conjunction with manufacturer inputs received via the USB port 142. These inputs may include one or more programs to be deleted from or added to the program store 296. Alternatively, the inputs may include edits or changes to one or more of the programs in the program store 296.
• the inputs may identify one or more changes to, or entire replacements of one or both of the startup logic 250 and the management logic 260.
• the inputs may include a change to the management logic 260 that instructs the PCD 100 to default to a temperature based modem management strategy when a temperature measurement associated with skin temperature exceeds a certain identified threshold.
• the interface logic 270 enables a manufacturer to controllably configure and adjust an end user's experience under defined operating conditions on the PCD 100.
• the memory 1 12 is a flash memory
• one or more of the startup logic 250, the management logic 260, the interface logic 270, the application programs in the application store 280 or information in the embedded file system 290 can be edited, replaced, or otherwise modified.
• the interface logic 270 may permit an end user or operator of the PCD 100 to search, locate, modify or replace the startup logic 250, the management logic 260, applications in the application store 280 and information in the embedded file system 290.
• the operator may use the resulting interface to make changes that will be implemented upon the next startup of the PCD 100. Alternatively, the operator may use the resulting interface to make changes that are implemented during run time.
• the embedded file system 290 includes a hierarchically arranged key performance indicator strategy store 24.
• the file system 290 may include a reserved section of its total file system capacity for the storage of information associated with the various PI-based modem management algorithms.
• Computer-readable media include both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
• a storage media may be any available media that may be accessed by a computer.
• such computer-readable media may comprise RAM, ROM,
• EEPROM electrically erasable programmable read-only memory
• CD-ROM compact disc-read only memory
• magnetic disk storage magnetic storage devices, or any other medium that may be used to carry or store desired program code in the form of instructions or data structures and that may be accessed by a computer.
• any connection is properly termed a computer-readable medium.
• the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line ("DSL"), or wireless technologies such as infrared, radio, and microwave
• coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium.
• Disk and disc includes compact disc (“CD”), laser disc, optical disc, digital versatile disc (“DVD”), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers.
• CD compact disc
• DVD digital versatile disc
• floppy disk floppy disk
• blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers.

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• 2015
  • 2015-10-01 US US14/873,154 patent/US10187282B2/en active Active
• 2016
  • 2016-09-02 BR BR112018006614A patent/BR112018006614A2/pt not_active Application Discontinuation
  • 2016-09-02 EP EP16767437.3A patent/EP3356909B1/en active Active
  • 2016-09-02 WO PCT/US2016/050102 patent/WO2017058464A1/en not_active Ceased
  • 2016-09-02 CN CN201680058099.8A patent/CN108139785B/zh active Active
  • 2016-09-02 KR KR1020187012142A patent/KR102676008B1/ko active Active
  • 2016-09-02 JP JP2018516131A patent/JP6858759B2/ja active Active
  • 2016-09-26 TW TW105131000A patent/TW201722111A/zh unknown

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