System for adapting device standars after manufacture   

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is related to the following co-pending applications:

(1) U.S. patent application Ser. No. 09/815,122, filed on Mar. 22, 2001, entitled “ADAPTIVE INTEGRATED CIRCUITRY WITH HETEROGENEOUS AND RECONFIGURABLE MATRICES OF DIVERSE AND ADAPTIVE COMPUTATIONAL UNITS HAVING FIXED, APPLICATION SPECIFIC COMPUTATIONAL ELEMENTS;” and

(2) U.S. patent application Ser. No. [TBD] filed on [TBD], entitled “SYSTEM FOR AUTHORIZING FUNCTIONALITY IN CONFIGURABLE HARDWARE DEVICES”.

Each of the above applications are hereby incorporated by reference as if set forth in full in this document.

BACKGROUND OF THE INVENTION

This invention relates in general to adapting hardware devices to achieve desired functionality and more specifically to adapting a hardware device at, or prior to, the time of sale.

Traditional consumer electronic devices have substantially fixed functionality. Devices such as cell phones, digital audio players, personal digital assistants (PDAs), global positioning satellite (GPS) terminals, etc. are designed, manufactured and marketed as a specific type of device with a specific feature set. Typically, a manufacturer of a new device makes decisions at the very outset of design or manufacturing as to what functions the device will perform, which standards (e.g., communication transfer standard, data format standard, etc.) the device will be compatible with, etc. This requires selection of appropriate integrated circuit (IC) chips, or the design of new chips and circuitry. Where standards are followed, royalty payments must be paid to the standard\'s creator, consortium, or other organization or entity that owns the standard. Such royalty, or other, payment can be a significant part of the overall cost of manufacturing the device.

A next step in manufacturing the device is the “board-level” design and assembly. The IC chips are arranged with other circuitry, user controls, connectors, etc., on a singular assembly such as a printed-circuit (PC) board. Typically, a new design is needed for each new device as different chips and other components are being used.

Next, a chassis designer and manufacturer is used to create and enclose the assembly in a housing, or shell. Again, this is a customized step as the packaging for a new board assembly is usually unique. After the assembly is incorporated into the housing package the device is physically completed.

There may be one or more levels of distribution of the device. A manufacturer can ship to a wholesale distributor. The wholesale distributor can then ship to retail distributors. The retail distributors can ship to retail sellers. Finally, a consumer purchases and obtains the device.

FIG. 1B illustrates a prior art approach to manufacturing, distributing and selling an electronic device.

In FIG. 1B, a device manufacturer commissions an integrated circuit (IC) manufacturer, or foundry, to fabricate custom ICs, or chips, according to the manufacturer\'s designs. Such chips can include application-specific integrated circuit (ASIC), programmable gate array (PGA), or other design approaches. IC manufacturer 140 then provides the chips to the device manufacturer or to board-level manufacturer 142.

Board-level manufacturer 142 combines components onto one or more circuit assemblies. Typically, this is a printed circuit board (PCB) but any other type of circuit assembly is possible. The circuit assembly is sent to enclosure manufacturer 144 where the final assembly and testing of the device is performed.

Then the electronic device is subjected to a large-scale distribution network. Distribution network 146 represents any delivery, storage and sales facility that might be used to disseminate the product. For example, shipping, warehousing, wholesale and other sales outlets can be used. Furthermore, the distribution can include Internet, mail, telephone, or other services. Ultimately, the product is provided to an end user, or consumer, via a sales endpoint such as retail sales point 148. A retail sales point can be a physical or e-commerce store, catalog sales order, online auction, etc.

Each step of the above manufacturing and distribution scenario adds cost to the device. Further, the design steps are usually repeated completely anew for subsequent devices. There is very little advantage to prior development and design for new products since typical consumer electronics technology changes so rapidly.

Another problem with the prior art design and distribution system is that some standards for consumer electronics devices are owned by one, or a few, companies. These companies are in a position to charge large payments. Manufacturers of new devices must determine, and put agreements in place to pay for, the standards to be used in the device from the very beginning of the design cycle. Thus, the manufacturer is not in a strong position to decide which standard to use based on consumer demand, or popularity, near the time of sale of the device. Owners, or licensors, of standards typically do not have to compete against each other in a “free-market” where prices are closely tied to supply and demand. This results in devices that cost more due to the relatively fixed, high, royalty payments. This hurts consumers\' ability to make decisions on the type of standard to follow and to obtain the best price on a device that uses a particular standard.

Thus, it is desirable to provide a system that alleviates one or more shortcomings in the prior art.

SUMMARY

The present invention provides a system for efficient sale of devices that comply with licensed standards. A preferred embodiment of the invention uses a generic, or highly adaptable, hardware device. The device can be adapted to adhere to a specific standard, e.g., code-division multiple access (CDMA), time-division multiple access (TDMA), etc., after manufacture such as at the point-of-sale to an end user, prior to distribution, or at some other point in a distribution and sales network. This allows manufacturers, retailers and end users to benefit from more competitive selection of standardized communication, data and other formats. Reduction of manufacturing costs and elimination of shipping, or other transfer and storage costs, is also realized.

In one embodiment the invention provides a method for allowing an adaptable electronic device to be adapted prior to sale to an end user, wherein the device is sold by a retailer, the method comprising the following steps performed by the retailer: obtaining an order for a device with first functionality; adapting the device with the first functionality; and selling the device with the first functionality to an end user.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A illustrates an adaptable device\'s adaptation, distribution and sale according to the present invention;

FIG. 1B illustrates typical entities involved in the development, sale, distribution and adaptation of an electronic device; and

FIG. 2 illustrates basic parts of an adaptable device architecture based on an adaptive computing environment.

The present invention provides for adapting a device to comply with popular standards used in commercial consumer electronic devices. Although the present application is presented primarily with respect to consumer electronic devices and relevant standards, aspects of the invention can be used with other types of electronic devices and other standards, licensed technology or functionality.

A preferred embodiment of the invention provides for adapting the electronic device at, or near, the point of consumer sale.

FIG. 1A illustrates adaptation, distribution and sale of an adaptable device according to the present invention.

In FIG. 1A, an adaptable device is initially provided to a distribution network by an original manufacturer of the device represented by adaptable device 100. A preferred embodiment of the invention uses a device including an adaptive computing engine (ACE) that is described in detail in the co-pending patent application referenced above, entitled “ADAPTIVE INTEGRATED CIRCUITRY WITH HETEROGENEOUS AND RECONFIGURABLE MATRICES OF DIVERSE AND ADAPTIVE COMPUTATIONAL UNITS HAVING FIXED, APPLICATION SPECIFIC COMPUTATIONAL ELEMENTS.” It should be apparent that any type of adaptable hardware device design is adaptable for use with the present invention. For example, the adaptable device can be any type of adaptable device using other architectures or design methodologies, such as a device using a general-purpose processor, multiprocessing, application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), dedicated circuitry, etc., or combination of the foregoing.

The adaptable device can be adapted with a desired standard, or other functionality, at the point of initial shipping of the device. This is represented in FIG. 1A by an arrow from adaptation information 102 to adaptable device 100. The device can be adapted by adaptation information loaded into the device by any type of communication means such as reading magnetic media, using a digital network such as a local-area network (LAN), the Internet; using a hardwire transfer, using optical or radio-frequency communication, etc.

Some types of standards to which the device can be adapted to use include data formats and communication standards. For example, where a device is intended to perform a cellular telephone function, standards such as TDMA, CDMA, voice-over internet protocol (VoIP), analog, digital satellite, or other standards can be employed. Where a device is an audio playback device, formats such as Moving Pictures Expert\'s Group (MPEG) version 3, RealNetworks\' “RealAudio” (.ra), Quicktime\'s (.mov), digital audio (.wav), Microsoft Media Player (.au) or other formats can be used. Where a device is a global positioning system (GPS) receiver the appropriate standards can be used. Many other types of standards and functionality can be suitable for use with the present invention.

Adaptation of the device can include the means described in co-pending U.S. patent application entitled “SYSTEM FOR AUTHORIZING FUNCTIONALITY IN ADAPTABLE HARDWARE DEVICES,” referenced, above.

FIG. 1A shows distribution network 104. Distribution network 104 can include various entities and mechanisms for the sale, transfer and storage of devices. For example, distribution network 104 can include shipping and warehousing facilities; wholesalers, a return and refurbishing network, etc. The distribution network culminates in an end user, or consumer, sale of the device such as at retail sale point 106.

The present invention provides for the devices to be adapted at any point in distribution network 104 or at a retail sale point such as retail sale point 106. Note that such an approach provides advantages in quickly meeting consumer demand for specific types of devices. For example, if demand for TDMA cellular phones suddenly increases. There is no need for remanufacture and redistribution of TDMA-designed devices. The devices can merely be adapted as TDMA devices anywhere in the various entities (i.e., manufacturer, distributor or sales) of FIG. 1A.

The invention provides for very quick distribution since devices can be in warehouses, or even on retail store shelves, and can be reconfigured in short time. One approach allows adaptation of devices stored in warehouses to be driven by retailer demand. Thus, retailers place orders for certain devices from wholesalers. Adaptation of the devices is performed at, or by, wholesalers to meet retailer demand. Naturally, adaptation can be performed by other entities, including the retailers, themselves. Another approach allows adaptation of devices to be driven by consumer demand. In this case retailers, or any other entity can perform the adaptation.

Traditional forms of selling, renting, leasing, or contractual or licensing arrangements can be used in connection with the adaptation of devices. For example, adaptation information 102 can be provided by a primary company that is the manufacturer of the devices. The primary company can charge for transferring, or otherwise providing, the adaptation information. Adaptation information can acquire properties of prior art devices in that it can be tracked, wholesaled and retailed. The advantage is that the cost to ship the adaptation information is virtually nothing. Thus, the use of pre-sale adaptation of electronic devices prior to the point of sale attains a “virtual device” that can be instantly shipped to locations where the physical adaptable, “generic,” device is already present.

Naturally, the adaptation information can be transferred to a location prior to, or in the absence of, actual devices being present at the location. The adaptation information can be stored and used at a later time.

FIG. 2 illustrates basic parts of an adaptable device architecture based on an adaptive computing environment (ACE) approach. Such an approach is discussed in detail in the co-pending patent application referenced, above. The ACE architecture uses small processing elements called nodes, or matrices. The matrices are each designed to be specialized in one basic type of processing such as arithmetic, bit manipulation, finite state machine, memory oriented or reduced instruction set computing (RISC) approaches. The matrices are provided with adaptable interconnection networks. A scheduler performs the task of mapping an operation, or function, onto the matrices. Once mapped, the function can execute for a while before a next function is mapped onto the same set of matrices. In this manner, the functionality of a device that includes the matrices can be changed quickly and efficiently.

In FIG. 2, adaptable matrix 150 includes a plurality of computation units 200 (illustrated as computation units 200A through 200N). Computation units include a plurality of computational elements 250 (illustrated as computational elements 250A through 250Z). As illustrated in FIG. 2, matrix 150 generally includes a matrix controller 230 and plurality of computation (or computational) units 200 as logical or conceptual subsets or portions of a matrix interconnect network. Also shown are data interconnect network 240 and Boolean interconnect network 210. Interconnect networks can have different levels of interconnectivity and flexibility for greater levels of adaptability and adaptation. In an applied architecture, the matrix represented by FIG. 2 is replicated within a single chip, or chipset, and interconnected with each other to provide a scalable approach to providing processing resources. A network interconnecting matrices (not shown) is referred to as a matrix interconnection network.

Boolean interconnect network 210 provides adaptation and data interconnection capability between and among the various computation units 200, and is preferably small (i.e., only a few bits wide). Data interconnect network 240 provides the adaptation and data interconnection capability for data input and output between and among the various computation units 200, and is preferably comparatively large (i.e., many bits wide). It should be noted, however, that while conceptually divided into adaptation and data capabilities, any given physical portion of the matrix interconnection network, at any given time, may be operating as either the Boolean interconnect network 210, the data interconnect network 240, the lowest level interconnect 220 (between and among the various computational elements 250), or other input, output, or connection functionality.

Continuing to refer to FIG. 2, included within a computation unit 200 are a plurality of computational elements 250, illustrated as computational elements 250A through 250Z (individually and collectively referred to as computational elements 250), and additional interconnect 220. The interconnect 220 provides the adaptable interconnection capability and input/output paths between and among the various computational elements 250. As indicated above, each of the various computational elements 250 consist of dedicated, application specific hardware designed to perform a given task or range of tasks, resulting in a plurality of different, fixed computational elements 250. Utilizing the interconnect 220, the fixed computational elements 250 may be adaptably connected together into adaptive and varied computational units 200, which also may be further adapted and interconnected, to execute an algorithm or other function, at any given time, utilizing the interconnect 220, the Boolean network 210, and the matrix interconnection network (not shown).

In a preferred embodiment, the various computational elements 250 are designed and grouped together, into various adaptive and adaptable computation units 200. In addition to computational elements 250 which arc designed to execute a particular algorithm or function, such as multiplication or addition, other types of computational elements 250 are also utilized. As illustrated in FIG. 2, computational elements 250A and 250B implement memory, to provide local memory elements for any given calculation or processing function (compared to more “remote” or auxiliary memory that can be external to the matrix). In addition, computational elements 250I, 250J, 250K and 250L are adapted to implement finite state machines to provide local processing capability especially suitable for complicated control processing.

With the various types of different computational elements 250 that may be available, depending upon the desired functionality, the computation units 200 may be loosely categorized. A first category of computation units 200 includes computational elements 250 performing linear operations, such as multiplication, addition, finite impulse response filtering, and so on. A second category of computation units 200 includes computational elements 250 performing non-linear operations, such as discrete cosine transformation, trigonometric calculations, and complex multiplications. A third type of computation unit 200 implements a finite state machine, such as computation unit 200C as illustrated in FIG. 2, particularly useful for complicated control sequences, dynamic scheduling, and input/output management, while a fourth type may implement memory and memory management, such as computation unit 200A. Lastly, a fifth type of computation unit 200 may be included to perform bit-level manipulation, such as for encryption, decryption, channel coding, Viterbi decoding, and packet and protocol processing (such as Internet Protocol processing).

In addition to the ways of determining functionality for general-purpose processing devices, as described above, the functionality of a device using the ACE architecture can be determined by adaptation information that is used to schedule operations on the computation units. Usage information can include the availability, types and frequency of use of different computation units. Adaptation of the interconnect network, number of active computation units over time, rate of execution of operations, etc., can all be used as usage parameters.

Although the invention has been described with respect to specific embodiments, the embodiments are merely illustrative, and not restrictive, of the invention. For example, adaptable devices can already be adapted with specific functionality and/or standards prior to adapting, or re-adapting the devices prior to the point of sale.

Thus, the scope of the invention is to be determined solely by the appended claims.