JP2014182746A - Radio equipment software model generator and radio communication device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a radio equipment software model generator of a radio communication device, which is capable of autonomously generating the most suitable software adapted to the change in communication environment to allow the significant reduction of dependence on hardware.SOLUTION: The radio equipment software model generator of a radio communication device includes: knowledge databases 31 and 32 in which function element information, connection information, and know-how information on design are stored; a radio equipment software model construction unit 34 which refers to the knowledge database 31 to construct a radio equipment software model 43 on the basis of at least a part of specifications and conditions required for designing radio equipment software of the radio communication device, which are required from external and internal environments of the radio communication device; and an optimality determination unit 35 which generates a radio equipment software model 45 by referring to the knowledge database 32 to optimize the radio equipment software model 43 on the basis of at least a part of the specifications and conditions. Thus the radio equipment software model 45 optimized in accordance with the environments is generated.

Description

  The present invention relates to a radio software model generator and a radio communication device of a radio communication device, and in particular, by changing software without changing hardware, for example, bandwidth, filtering, modulation / demodulation, encoding, etc. The present invention relates to a radio software model generator and a radio communication apparatus suitable for generating a software radio, which is a system capable of changing a basic function of a radio.

  2. Description of the Related Art Conventionally, wireless communication devices that include a hardware unit and a software unit have been widely used (see, for example, Patent Document 1).

  As shown in FIG. 20, in the wireless communication apparatus 100, the hardware unit 101 includes, for example, an amplifier 102, a mixer 103, a synthesizer 104, a digital / analog converter 105, and an analog / digital converter 106. ASIC 107, FPGA (Field Programmable Gate Allay) 108, DSP (Digital Signal Processor) 109, devices such as I / O 110, and CPU 111 connected to each device.

  The software unit 112 includes, for example, a device driver 113 corresponding to each device described above, an operating system 114, a library 115, a library management unit 116 that manages programs and control commands installed in the library 115, A program generation unit 117 that generates programs and commands for individual devices according to the distributed functions, a function distribution unit 118 that distributes wireless functions to individual devices, and an application program 119 are provided.

  The application program 119 is a program in which the operation of the wireless communication apparatus 100 is described, in which specifications, functions, definitions relating to realization, constraint conditions (upper power consumption, upper processing time), and the like are described.

  The program generation unit 117 includes an HDL program of the FPGA 108 for realizing wireless communication, a command for controlling individual functions of each device, a DSP, and the wireless function in accordance with the wireless function definition and restrictions described in the application program 119. And a program of the CPU 111 are generated. Further, the program generation unit 117 determines the allocation of each function defined by the application program 119 to each device.

  The program generation unit 117 refers to the library 115 based on the assignment result of the function distribution unit, and generates an optimal program at that time. That is, the program generation unit 117 reads an optimal program from the library 115 and assigns it to a necessary device.

  Furthermore, an external control unit that can control the function distribution unit 118 from the outside and an evaluation unit that evaluates external and internal communication environment states of the wireless communication device 100 are provided. Then, the result of the evaluation unit is used by the function distribution unit and the program generation unit 117. As a result, the wireless communication device 100 can dynamically cope with a communication environment that changes in time series.

  As described above, the conventional wireless communication apparatus 100 is so-called hardware-oriented with respect to changes in the communication environment. First, there is selection or change of hardware, and software is allocated, that is, software is generated correspondingly. .

JP 2001-230691 A

  However, in the configuration of the wireless communication apparatus 100 as described above, the program generation unit 117 selects a program from the library 115 according to the determined content and assigns it to each device. It cannot be said that the program is generated with due consideration of optimality. In the above-described wireless communication apparatus 100, for example, the performance and the amount of calculation vary depending on the combination of a plurality of algorithms, but the optimum reasonable point is not searched. For this reason, there is a problem that only a predetermined response can be made to changes in the radio wave environment and the state of the wireless communication device 100.

  For example, in order to improve the bit error rate (BER), a combination of a frequency synchronization function, a channel equalization function, an error correction function, etc. has the best performance and computational complexity There should be. However, the above-described wireless communication apparatus 100 has a problem in that it does not search for an optimal balance between the performance and the calculation amount.

  Further, the above-described wireless communication device 100 is hardware-oriented that maps software to selected hardware, and the ratio depending on the hardware is also increasing. For this reason, in order to increase the versatility by reducing the ratio depending on hardware, a software-oriented configuration that generates software that satisfies the performance under given conditions and assigns the software to the hardware is desired.

  The present invention has been made to solve the above-described conventional problems, and can optimally generate optimal software corresponding to changes in the communication environment, and can greatly reduce the dependence on hardware. An object of the present invention is to provide a radio software model generator and a radio communication apparatus for a radio communication apparatus.

  In order to achieve the above object, a radio software model generator according to the present invention provides (1) a knowledge database storing functional element information, connection information, and design know-how information relating to elements constituting a radio communication device, and the radio communication Based on at least a part of specifications and conditions required when designing the radio software of the radio communication device required from the environment outside and inside the device, the radio software model is constructed with reference to the knowledge database A radio software model construction unit; and an optimization determination unit that generates the radio software model by optimizing the radio software model with reference to the knowledge database based on at least a part of the specifications and the conditions. The radio software optimized for the environment And generating a Dell.

  According to this configuration, the radio software is optimized using a knowledge database storing functional element information, connection information, and design know-how information. Compared with the case of generating the radio, the objectivity of the optimization can be improved and the high-performance radio software can be realized.

  The specifications include functional specifications and performance specifications. The functional specifications include necessary bandwidth, communication frequency, modulation method, error correction code, and the like. The performance specifications include bits for the signal-to-noise ratio (SNR). There are error rate (BER) required characteristics and the like. Conditions include restriction conditions and environmental conditions. Restriction conditions include wireless communication device status (resource availability, remaining battery power, etc.), communication path conditions (interference status, SNR, etc.), etc. Includes radio field strength, frequency utilization status, interference status, and the like.

  In the radio software model generator described in (1) above, (2) the radio software model is verified by simulating whether or not the specifications are satisfied, and the verification result is sent to the optimality determination unit. It is preferable to provide a virtual execution unit that is transmitted and reflected in the generation of the radio software model in the optimality determination unit.

  According to this configuration, since the virtual execution unit simulates and verifies whether the radio software model satisfies the functional specification or performance specification, a more optimized radio software model can be obtained. Will be able to.

  In the radio software model generator described in (2) above, (3) the radio software model is generated based on a functional specification and a performance specification, and the virtual execution unit is configured so that the radio software model functions. A function verification unit that simulates whether or not a specification is satisfied and verifies the functional aspect; a performance verification unit that simulates whether or not the radio software model satisfies a performance specification and verifies the performance aspect; It is preferable to provide.

  According to this configuration, the radio software model constructed based on the functional specifications and performance specifications is verified by the function verification unit for the sufficiency of the functional specifications, and also by the performance verification unit for the sufficiency of the performance specifications. It becomes like this. For this reason, since the function verification and performance verification of each model can be realized, a more optimized radio software model can be obtained.

  In the radio software model generator described in (1) to (3) above, (4) the radio software model construction unit constructs the radio software model based on the functional specifications of the specifications and The sex determination unit preferably generates the radio software model based on the radio software model, the performance specification of the specification, the constraint condition of the condition, and the environmental condition.

  According to this configuration, a radio software model is first constructed based on the functional specifications, and a radio software model optimized based on performance specifications, constraint conditions, and environmental conditions is generated for the radio software model. Therefore, an optimized radio software model can be generated efficiently.

  The radio software model generator described in (1) to (4) above preferably includes (5) an optimal model selection unit that selects an optimal model from the radio software model based on a selection policy.

  According to this configuration, for example, it is possible to select an optimal model based on a selection policy that gives priority to a smaller circuit scale or to give priority to performance over a circuit scale. Can also be included in the optimization process, and further optimization can be promoted.

  In order to achieve the above object, a wireless communication apparatus according to the present invention provides (6) the radio software model generator described in any one of (1) to (5) above and an environment recognition unit that recognizes the environment. A specification generation unit that converts the environment recognized by the environment recognition unit into a specification and inputs the specification to the radio software model generator; and the radio software model generated by the radio software model generator is software radio It is preferable to include a model conversion unit that converts to platform software, and a software wireless platform unit that executes the software wireless platform software output from the model conversion unit.

  According to this configuration, the environment recognition unit recognizes the environment inside and outside the wireless communication device, such as the radio wave usage state, the contents of user communication, and the state of the wireless device. Then, the specification generation unit converts the environment recognized by the environment recognition unit into specifications such as a functional specification, a performance specification, and a constraint condition. Further, the radio software model generator generates an optimized radio software model from the specification generated by the specification generation unit. The model conversion unit converts the wireless device software model generated by the wireless device software model generator into software for software wireless platform. The software defined radio platform unit executes the software generated by the model conversion unit.

  As described above, since the software is generated each time in conformity with the wireless communication environment, it is possible to realize a wireless communication apparatus that operates using software that is optimal for the current situation. This makes it possible to effectively use radio wave resources by performing communication at an appropriate frequency or band suitable for the radio wave conditions, make the wireless communication device multi-mode, save power according to the remaining battery power of the wireless communication device, etc. it can.

  In general, in a wireless communication device, required performance varies depending on an environment such as a radio wave environment, a position, and a user request, but resources of the wireless communication device are constant. If software that can be adapted to various environments is prepared from the beginning, the resources of the wireless communication device required in the wireless communication device increase, and the circuit scale and power consumption increase.

  On the other hand, the wireless communication apparatus according to the present invention recognizes external and internal environments, and optimizes the performance, the amount of calculation, and the like so as to be suitable for the environment and fit within the resources of the current wireless communication apparatus. Thereby, it is possible to realize a wireless communication apparatus that can utilize limited resources to the maximum.

  According to the present invention, radio software is generated and optimized using a knowledge database that stores functional element information, connection information, and design know-how information. Can be autonomously generated, and a radio software model generator and a radio communication apparatus that can greatly reduce the dependence on hardware can be provided.

It is the schematic which shows the whole radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention by a block according to a function. It is the schematic which shows the software part of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention, (a) does not describe the detail of a structure of an optimal software production | generation part, (b) A case where details of the configuration of the optimum software generation unit are described is shown. It is the schematic which shows the software part of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is the schematic which shows the model generator part of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is the schematic which shows the model generator part and model conversion part of the radio | wireless communication apparatus which mount the radio | wireless machine software model generator which concerns on embodiment of this invention. It is a figure which shows the example of the functional element list | wrist of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is a figure which shows the example of the model list | wrist showing the connection order of the functional element of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is the schematic which shows the structure of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention in hierarchy. It is a flowchart which shows the model structure algorithm in the model generator of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is explanatory drawing which shows the example which interprets a content from a specification in the radio | wireless machine software model construction part of the radio | wireless communication apparatus carrying the radio | wireless software model generator which concerns on embodiment of this invention. It is explanatory drawing which shows the example which produces | generates an abstract function model in the radio | wireless machine software model construction part of the radio | wireless communication apparatus carrying the radio | wireless software model generator which concerns on embodiment of this invention. It is explanatory drawing which shows the example which produces | generates an execution function model from an abstract function model in the conversion part of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is explanatory drawing which shows the example which produces | generates an abstract function model using a knowledge database in the radio | wireless machine software model construction part of the radio | wireless communication apparatus carrying the radio | wireless software model generator which concerns on embodiment of this invention. It is explanatory drawing which shows an example of the procedure which produces | generates an abstract improvement model from an abstract function model in the optimality determination part of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is explanatory drawing which shows the example in the case of performing function complementation and parameter change in the optimality determination part of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention. It is a figure which shows the example of the model list | wrist showing the connection order of the functional element of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on other embodiment of this invention. It is the schematic which shows the structure of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on other embodiment of this invention in hierarchy. It is explanatory drawing which shows the Example of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention, (a) is Example 1 and (b) is Example 2. FIG. It is explanatory drawing which shows the Example of the radio | wireless communication apparatus carrying the radio | wireless machine software model generator which concerns on embodiment of this invention, (a) is Example 1 before environmental change, (b) is implementation after environmental change. Example 1 and (c) are Example 2 after an environmental change. It is the schematic which shows the structure of the conventional radio | wireless communication apparatus in hierarchy.

  Hereinafter, embodiments of a radio software model generator of the present invention will be described with reference to the drawings. In the present embodiment, a case where a radio software model generator is mounted on a radio communication apparatus has been described.

First, the configuration of radio communication apparatus 1 according to the present embodiment will be described.
As shown in FIG. 1, the wireless communication device 1 includes a software unit 2 and a hardware unit 3. The software unit 2 and the hardware unit 3 are accommodated in a single radio main body 1a.

  As shown in FIGS. 1 and 2, the software unit 2 includes an environment recognition unit 4 that recognizes external and internal environments, and optimum software that generates software optimized for the environment recognized by the environment recognition unit 4. A generation unit 5 and a software defined radio platform unit 6 that executes software output from the optimum software generation unit 5 are provided. The software unit is built in a single or a plurality of processors (or FPGAs, or a combination thereof) 7.

  The processor 7 operates radio signal processing software such as modulation / demodulation on the OS or the like. The radio signal processing software operated by the processor 7 also performs various analog control such as frequency change.

  The environment recognition unit 4 recognizes external and internal environments of the wireless communication device 1 such as a radio wave environment, a radio wave use state, user communication contents, and a wireless device state.

  The environment recognition unit 4 recognizes, for example, as a user request, whether the communication content is mail transmission or video communication. Further, the environment recognition unit 4 recognizes, for example, the state of the wireless device, that the wireless device resources are free and the remaining battery level. Furthermore, the environment recognizing unit 4 recognizes a vacant frequency from, for example, a spectrum usage situation sensing result (for example, there is a vacant frequency of 10 MHz between the frequency ranges f1 and f2). Further, the environment recognition unit 4 measures and recognizes, for example, a signal to noise ratio (SNR) (for example, SNR = 10 dB). Further, the environment recognition unit 4 recognizes the state of interference, for example (for example, there is no interference).

  As shown in FIG. 2B, the optimum software generation unit 5 is optimized from the specification generated by the specification generation unit 10 and the specification generation unit 10 that converts the environment recognized by the environment recognition unit 4 into a specification. And a software generation unit 20 for generating software. Further, the software generation unit 20 includes a model generator unit 30 as a radio software model generator that generates a general-purpose software model optimized from the specifications, and the general-purpose software model generated by the model generator unit 30 as a software radio platform unit 6. And a model conversion unit 50 for conversion into a format that operates in

  As shown in FIG. 3, the specification generation unit 10 includes a rule database 11. The specification generation unit 10 converts the environment recognized by the environment recognition unit 4 into specifications such as functional specifications, performance specifications, constraint conditions, and environmental conditions. The conversion in the specification generation unit 10 is not simply selected, but a recognition result from a combination of a plurality of possibilities using the rule database 11, that is, the functional specification, performance specification, constraint condition, and environmental condition that are optimal for the current situation. Etc. are generated.

The functional specifications include a necessary band, a communication frequency, a modulation method, an error correction code, and the like (for example, necessary band = 5 MHz, communication frequency = f4 between f1 and f2, modulation method = 16 QAM, error correction code = R1 / 2 convolutional code, etc.). As performance specifications, there are BER required characteristics for SNR (for example, SNR = 10 dB and BER <10 ⁻⁵ etc.). The constraint conditions include the state of the wireless communication device 1 (resource availability, remaining battery capacity, etc.), and communication path conditions (interference status, SNR, etc.). Environmental conditions include radio wave intensity, frequency conditions, interference conditions, and the like.

  As shown in FIGS. 3 to 5, the model generator unit 30 generates a general-purpose software model optimized from the specification generated by the specification generation unit 10. The model generator unit 30 includes a knowledge database 31 for model generation and a performance improvement database 32 as another knowledge database including know-how information on design. The knowledge database 31 includes a functional element database 31a (see FIG. 10) and a connection information database 31b (see FIG. 11).

  As shown in FIG. 6, a functional element list 41 that is categorized functional element information is recorded in the functional element database 31a. The functional elements here are elements representing signal processing functions in the radio software, and are, for example, error correction encoding (reference 41a), modulation (reference 41b), distortion correction, filters, and the like. In the functional element list 41 of the functional element database 31a, an input / output definition, a parameter definition, and the like are attached to each functional element.

  As shown in FIG. 7, in the connection information database 31b, a connection template list 42 indicating the connection order of the functional elements categorized and recorded in the functional element database 31a is recorded. The connection order template here is, for example, a connection such as error correction coding → modulation → filter (symbol 42a) or error correction coding → modulation → distortion correction → filter (symbol 42b) as shown in the figure. The order is a template as it is.

  As shown in FIGS. 3 to 5, the model generator unit 30 includes a radio software model construction unit 34, an optimality determination unit 35, and a virtual execution unit 36.

  The wireless device software model construction unit 34 refers to the knowledge database 31 based on the functional specifications generated by the specification generation unit 10 and constructs an abstract function model 43 that is the original form of the wireless device software model. The abstract function model 43 includes a transmission abstract function model 43a and a reception abstract function model 43b (see FIG. 11).

  The optimality determination unit 35 optimizes the abstract function model 43 as a radio software model with reference to the performance improvement database 32 based on the performance specification, the constraint condition, the environmental condition, and the verification result of the virtual execution unit 36 described later. Then, an abstract improvement model 45 is generated as a radio software model. The optimality determination unit 35 appropriately adds a function to the abstract function model 43 while referring to the performance improvement database 32, and generates a new abstract function model 43 by adjusting parameters of each function. Then, the optimality is determined from a plurality of possibilities using an evaluation function based on the constraint condition and the like, and the optimal abstract function model (abstract improvement model 45) is narrowed down (optimization). The evaluation function in this optimization reflects requirements such that the combination of functions can be accommodated in the computation resources of the wireless device (computation amount minimization, etc.). That is, for example, a combination of optimal functional configurations and parameters are generated from a plurality of algorithms in consideration of communication path conditions, radio resources, and remaining battery capacity while satisfying the constraint conditions.

  The model generator unit 30 includes a conversion unit 37 that converts the abstract function model 43 into an execution function model 44 that matches the virtual execution environment, and an execution verification database 38 that stores information necessary for the conversion. The execution verification database 38 includes an execution environment database 38a and an execution environment syntax database 38b (see FIG. 12).

  The abstract function model 43 is converted by the conversion unit 37 into an execution function model 44 that matches the virtual execution environment with reference to the execution verification database 38. The abstract improvement model 45 is converted by the conversion unit 37 into an execution improvement model 46 that matches the virtual execution environment with reference to the execution verification database 38.

  The virtual execution unit 36 includes a function verification unit 36a and a performance verification unit 36b. The function verification unit 36a performs verification by simulating whether the execution function model 44 operates with a correct function in the virtual execution environment. The performance verification unit 36b performs verification by simulating whether the execution improvement model 46 satisfies various performances in the virtual execution environment. These verification results are transmitted to the optimality determination unit 35 and reflected in the generation of the abstract improvement model 45 in the optimality determination unit 35.

  Further, the model generator unit 30 includes an optimal model selection unit 39 that selects an optimal model based on a selection policy from a plurality of abstract improvement models 45 generated by the optimality determination unit 35 and generates an abstract optimal model 47. Yes. Here, the selection policy is a criterion for selecting a model that gives priority to a smaller circuit scale or prioritizes performance over circuit scale, for example.

  The model conversion unit 50 converts the general-purpose software model (abstract optimal model) 47 generated by the model generator unit 30 into a format that operates on the software defined radio platform unit 6. The model conversion unit 50 assigns each function of the wireless device software model to the processor (or FPGA) 7 in the wireless device platform, and converts each device into an execution format (compile the model or link the compiled functional component). To implement.

  The model conversion unit 50 includes a conversion unit 51, a conversion database 52, and a compiler 53. The conversion unit 51 refers to the conversion database 52, for example, assigns error correction decoding to the FPGA based on speed constraints, determines the rest to be implemented as software on the processor, and generates the execution source 54. The compiler 53 compiles the execution source 54 using the device library, and generates an execution object 55.

  Further, the model conversion unit 50 executes the radio software by loading the execution object 55 into the processor and FPGA of the radio platform. The model conversion unit 50 executes the radio software by loading the execution object 55 into the processor (or FPGA) 7 of the radio platform.

  On the other hand, as illustrated in FIG. 1, the hardware unit 3 includes a transmission unit 70, a reception unit 80, and a common unit 90. The transmission unit 70 includes a digital / analog converter 71, a transmission intermediate frequency (IF) conversion / amplifier 72 which is various devices, a transmission high frequency (RF) conversion / amplifier 73, a power amplifier ( PA: Power Amplifier) 74. The receiving unit 80 includes an analog / digital converter 81, a receiving intermediate frequency conversion / amplifier 82 which is various devices, a receiving high frequency conversion / amplifier 83, and a low noise amplifier (LNA) 84. Yes. The common unit 90 includes an antenna duplexer 91 and an antenna 92.

  About each component of the hardware part 3, since a well-known or new thing can be applied, detailed description is abbreviate | omitted.

  As shown in FIG. 8, in the wireless communication device 1, a processor 7 is mounted on a hardware platform that is a wireless device main body 1a, and the software unit 2 is entirely executed by the processor 7.

  Next, the operation of the wireless communication device 1 will be described below.

  When the environment recognition unit 4 recognizes the external and internal environments of the wireless communication device 1 such as the radio wave environment, radio wave usage status, user communication content, radio status, etc., and the radio software needs to be changed, The generation unit 10 converts the environment recognized by the environment recognition unit 4 into specifications such as functional specifications, performance specifications, constraint conditions, and environmental conditions.

  Hereinafter, a procedure for generating the abstract function model 43 and the execution function model 44 from the specifications generated by the specification generation unit 10, that is, the model configuration algorithm will be described based on the flowchart of FIG. 9 and the explanatory diagrams of FIGS. To do.

  The processor 7 interprets the specific contents of the given specification in the radio software model construction unit 34 (step S1). For example, as shown in FIG. 10, in the case of the illustrated XML file generated as a specification, the contents of convolutional coding, QPSK modulation, and RRC filter are read with reference to the function element database 31a, and the function elements for this are read. It can be extracted from the functional element database 31a.

  Next, the processor 7 configures the transmission abstract function model 43a in the radio software model construction unit 34 (step S2). This constitutes the transmission abstract function model 43a by setting the order with reference to the connection information database 31b with respect to the function configuration read from the specification.

  Here, in the example shown in FIG. 13, a template 42a of error correction coding → modulation → filter is selected from the template list 42 recorded in the connection information database 31b. Therefore, a functional element is applied to each element of the template 42a from the functional element list 41 recorded in the previously selected functional element database 31a. FIG. 13 shows an example of the functional element list 41 recorded in the functional element database 31a when the error correction coding is RS code and the modulation is 16QAM.

  Next, the processor 7 configures the reception abstract function model 43b in the wireless device software model construction unit 34 (step S3). This constitutes the reception abstract function model 43b by setting the order with reference to the connection information database 31b with respect to the function configuration read from the specification. The specific procedure is the same as that in the case where the transmission abstract function model 43a is configured, and thus detailed description thereof is omitted.

  Further, the processor 7 refers to the execution verification database 38 and converts the abstract function model 43 into the execution function model 44 adapted to the virtual execution environment in the conversion unit 37 (step S4). For example, as shown in FIG. 12, the conversion unit 37 converts the transmission abstract function model 43a and the reception abstract function model 43b with reference to the execution environment database 38a and the execution environment syntax database 38b, and executes the execution function model 44. Is generated.

  The generated execution function model 44 is subjected to function verification in the function verification unit 36a.

  Next, a procedure for optimizing the abstract function model 43 to generate the abstract improvement model 45, that is, a model optimization algorithm will be described with reference to FIG.

  The processor 7 inputs the abstract function model 43, performance specifications, constraint conditions, environmental conditions, and the like to the optimality determination unit 35 (step S10). In the optimality determination unit 35, the processor 7 extracts performance items to be evaluated with respect to the input performance specifications, constraint conditions, environmental conditions, and the like and degradation factors corresponding to the performance items (step S11). As a result, a performance evaluation system is constructed in consideration of degradation factors with respect to performance.

  Then, the processor 7 evaluates the basic performance in the optimality determination unit 35 (step S12). There is no improvement here. Further, the processor 7 generates an abstract improvement model 45 by complementing functions (performance improvement elements) and adjusting parameters of each function in the optimality determination unit 35, and includes an execution improvement model 46 on the virtual execution environment 36. The performance evaluation system is operated to perform static performance evaluation (step S13) and dynamic performance evaluation (step S14) using an evaluation function based on performance specifications, constraint conditions, and the like. Further, these function complementation and parameter adjustment of each function are performed with reference to the performance improvement database 32.

  Here, as an example of function complementation and parameter change, as shown in FIG. 15, for example, when there is a template 42c for the first time, referring to the performance improvement database 32, equalization (reference numeral 41c) and frequency synchronization (reference numeral 41d) can be added to adjust each parameter.

  In addition, after executing step S14, the processor 7 returns to step S13 for each performance improvement element, and returns to step S11 for each performance item to perform loop processing. That is, individual performance items are evaluated sequentially.

  And the processor 7 memorize | stores the performance improvement element which satisfy | fills an evaluation function by evaluation to step S14 as a performance improvement candidate. A combined comprehensive evaluation using an evaluation function is performed on the stored combination of performance improvement candidates (step S15). Further, the processor 7 evaluates the calculation amount in the optimality determination unit 35 (step S16), and a single or a plurality of abstract improvement models 45 are generated.

  At the same time, the processor 7 uses the abstract function model 43, the performance specifications, the constraint conditions, the environmental conditions, and the like to perform the function complementation and parameters performed by referring to the performance improvement database 32 described above on the virtual execution environment 36. A performance evaluation system including the execution improvement model 46 reflecting the result of the change is constructed. The execution improvement model 46 in this performance evaluation system is referred to in the performance evaluation in step S13 and step S14 and the evaluation of the calculation amount in step S16.

  The model whose function is complemented and adjusted in step S13, step S14 and step S15 is converted into an execution improvement model 46 by the conversion unit 37 with reference to the execution verification database 38, and incorporated into the above-described performance evaluation system. The performance verification is performed in the performance verification unit 36b. The result is transmitted to the optimality determination unit 35 and reflected in the function complementation and parameter adjustment in steps S13 and S14.

  Also, from the abstract improvement model 45, the optimal model selection unit 39 selects the optimal model based on the selection policy and sets it as the abstract optimal model 47. As a result, the abstract optimum model 47 is output from the model generator unit 30.

  Further, in the model conversion unit 50, the conversion unit 51 refers to the conversion database 52 and decides, for example, that error correction decoding is assigned to the FPGA from the speed constraint, and the rest is implemented as software on the processor, and the execution source 54 is generated. Then, the compiler 53 compiles the execution source 54 using a device library, and generates an execution object 55.

  The execution object 55 is input to the software defined radio platform unit 6 and executed, and the wireless communication apparatus 1 is operated.

  As described above, according to the model generator unit 30 of the wireless communication apparatus 1 according to the present embodiment, the wireless device is used by using the knowledge databases 31 and 32 storing the functional element information, the connection information, and the design know-how information. Since the software is generated and optimized, it is possible to obtain the model generator unit 30 that can autonomously generate the optimum software corresponding to the change in the communication environment and can greatly reduce the dependence on the hardware. In particular, radio software is optimized by using knowledge databases 31 and 32 storing functional element information, connection information and design know-how information. Compared to the case of generating, it is possible to improve the objectivity of optimization and realize high-performance radio software.

  Further, according to the model generator unit 30 according to the present embodiment, the virtual execution unit 36 simulates whether at least one of the abstract function model 43 and the extraction improvement model 45 satisfies the function specification or performance specification. Therefore, a more optimized radio software model can be obtained.

  Further, according to the model generator unit 30 according to the present embodiment, the abstract function model 43 constructed based on the function specification is verified by the function verification unit 36a for the sufficiency of the function specification, and the abstract function model 43 The abstract improvement model 45 generated based on the performance specification is verified by the performance verification unit 36b for the satisfaction of the performance specification. For this reason, since the function verification and performance verification results of each model can be fed back to the optimality determination unit 35, a more optimized radio software model can be obtained.

  Further, according to the model generator unit 30 according to the present embodiment, since the optimum model selection unit 39 is provided, for example, selection that priority is given to a small circuit scale or priority is given to performance over the circuit scale. The optimal model can be selected based on the policy, and requirements that are difficult to reflect only by the specifications and conditions can be included in the optimization process, thereby further promoting the optimization.

  In addition, according to the wireless communication device 1 according to the present embodiment, the wireless communication device 1 that can autonomously generate optimum software corresponding to changes in the communication environment and can greatly reduce the dependence on hardware. Can be obtained.

  In addition, since the software is generated each time in conformity with the wireless communication environment, the wireless communication device 1 that operates using software that is optimal for the current situation can be realized. This makes it possible to effectively use radio wave resources by performing communication at an appropriate frequency or band suitable for radio wave conditions, to make the wireless communication device 1 multi-mode, to save power according to the remaining battery level of the wireless communication device 1, and the like. Can be realized.

  In general, in the wireless communication device 1, the required performance varies depending on the environment such as the radio wave environment, the position, and the user request, but the resources of the wireless communication device 1 are constant. If software that can be adapted to various environments is prepared from the beginning, the resources of the wireless communication device 1 required in the wireless communication device 1 increase, and the circuit scale and power consumption increase.

  On the other hand, the wireless communication device 1 according to the present embodiment recognizes the external and internal environments, and optimizes the performance, the amount of computation, and the like so as to be suitable for the environment and fit within the resources of the current wireless communication device 1 To do. Thereby, the radio | wireless communication apparatus 1 which can utilize a limited resource to the maximum is realizable.

  Further, according to the wireless communication device 1 of the present embodiment, as shown in FIG. 2B, the wireless device main body 1a includes the environment recognition unit 4, the optimum software generation unit 5, and the software wireless platform unit 6. Therefore, the wireless communication device 1 can generate optimized software only with the single wireless device main body 1a without performing communication with the outside. For this reason, since software can be generated without communicating with the outside, it is not necessary to consider the occurrence of communication errors due to unforeseen circumstances, and the reliability of software generation can be improved.

  In the wireless communication apparatus 1 of the present embodiment described above, when the processor 7 complements the function and evaluates the performance for the static performance and the dynamic performance (step S13 and step S14), the performance is determined. Returning to step S11 for each item and performing the loop processing, the wireless communication apparatus according to the present invention is not limited to this. For example, by evaluating a plurality of performance items simultaneously, that is, in a multidimensional manner, the process proceeds to step S11. This loop processing may be unnecessary.

  In the wireless communication device 1 of the present embodiment described above, the connection information database 31b records a connection template list 42 representing the connection order of functional elements categorized and recorded in the functional element database 31a. However, the wireless communication apparatus according to the present invention is not limited to this, and can also be represented by a list of connection order relations such as “error correction coding is before modulation”.

  In the wireless communication device 1 of the present embodiment described above, the model configuration algorithm and the model optimization algorithm are clearly separated. However, the wireless communication device according to the present invention is not limited to this, for example, The model construction algorithm and the model optimization algorithm may not be clearly separated. In this case, for example, as shown in FIG. 16, a performance improvement element is included in the connection template list 42, and such a connection template list 42 is recorded in the connection information database 31b. Then, the software is optimized using the functional element database 31a, the connection information database 31b, and the performance improvement database 32.

  Further, in the wireless communication device 1 according to the present embodiment described above, the wireless device main body 1a includes the environment recognition unit 4, the optimum software generation unit 5, and the software wireless platform unit 6, but according to the present invention. The wireless communication apparatus is not limited to this. For example, as shown in FIG. 17, the optimum software generation unit 5 may be provided outside the wireless device main body 1a. In this case, since it is not necessary to provide the optimum software generation unit 5 in the radio main body 1a, the structure of the radio main body 1a can be reduced in size and simplified. In addition, since one optimum software generation unit 5 can be shared for a plurality of wireless device main bodies 1a, the scale of the entire wireless communication system can be kept small.

  In the wireless communication device 1 according to the present embodiment described above, the wireless device main body 1a includes both the transmission unit 70 and the reception unit 80. However, the wireless communication device according to the present invention is not limited thereto. Only one of the transmission unit 70 and the reception unit 80 may be provided.

  In the wireless communication device 1 of the present embodiment described above, the transmission unit 70 includes the transmission intermediate frequency conversion / amplifier 72, and the reception unit 80 includes the reception intermediate frequency conversion / amplifier 82. The wireless communication apparatus according to the present invention is not limited to this. For example, in the case of the direct conversion method, one or both of the transmission intermediate frequency conversion / amplifier 72 and the reception intermediate frequency conversion / amplifier 82 may be omitted. .

  In the wireless communication device 1 of the present embodiment described above, the compiler 53 generates the execution object 55 by compiling the execution source 54. However, the wireless communication device according to the present invention is not limited to this. Instead, for example, the execution object 55 may be generated by linking the compiled object.

  An example of the operation when the external environment changes using the above-described wireless communication device 1 will be described.

Example 1
As shown in FIG. 18 (a), when the functional specification and the performance specification are 400 MHz band, BW = 25 kHz, QPSK, R = 1/2 CC, the constraint is CNR = 10 dB or less, and there is no interference, wireless communication In the software unit 2 of the apparatus 1, a radio model A is configured.

  In this case, as shown in FIGS. 18 (a) and 19 (a), this wireless device model A satisfies the standards related to BER and SNR (indicated by broken lines in the figure). However, as shown in FIGS. 18A and 19B, the radio model A did not satisfy the standard under multipath conditions.

(Example 2)
Next, the constraint condition was changed to CNR = 10 dB or less and multipath without changing the functional specification and the performance specification.

In this case, as shown in FIG. 18B and FIG. 19C, the wireless device model B is configured in the software unit 2 of the wireless communication device 1. This radio model B satisfied the standards for BER and SNR.
Therefore, it was confirmed that the performance was improved by changing the radio model according to the environment by the operation of the environment recognition unit 4 and the optimum software generation unit 5.

  As described above, the wireless software model generator and the wireless communication apparatus according to the present invention can change the software without changing the hardware, for example, wireless such as bandwidth, filtering, modulation / demodulation, and encoding. It is useful for all wireless communication apparatuses suitable for software defined radio, which is a system that can change the basic functions of the system.

DESCRIPTION OF SYMBOLS 1 Wireless communication apparatus 4 Environment recognition part 6 Software radio | wireless platform part 10 Specification production | generation part 30 Model generator part (radio | wireless machine software model generator)
31, 32 Knowledge database 31a Functional element database 31b Connection information database 34 Radio software model construction unit 35 Optimality determination unit 36 Virtual execution unit 36a Function verification unit 36b Performance verification unit 39 Optimal model selection unit 43 Abstract function model (wireless software) model)
45 Abstract improvement model (wireless software model)
50 Model converter

Claims (6)

A knowledge database storing functional element information, connection information and design know-how information relating to elements constituting the wireless communication device;
A radio software model with reference to the knowledge database based on at least a part of specifications and conditions required when designing radio software of the radio communication apparatus required from the external and internal environments of the radio communication apparatus A radio software model building section for building
An optimality determination unit that optimizes the radio software model with reference to the knowledge database based on at least a part of the specification and the condition, and generates the radio software model;
A radio software model generator that generates the radio software model optimized in accordance with the environment.   Whether or not the radio software model satisfies the specifications is verified and verified, and a verification result is transmitted to the optimality determination unit to generate the radio software model in the optimality determination unit. The radio software model generator according to claim 1, further comprising a virtual execution unit to be reflected. The radio software model is generated based on functional specifications and performance specifications,
The virtual execution unit
A function verification unit that simulates whether or not the radio software model satisfies a functional specification and verifies the functional aspect;
The radio software model generator according to claim 2, further comprising a performance verification unit that simulates whether or not the radio software model satisfies performance specifications and verifies performance. The radio software model construction unit constructs the radio software model based on the functional specifications of the specifications,
The said optimality determination part produces | generates the said radio | wireless machine software model based on the performance specification of the said radio | wireless machine model, the said specification, the constraint conditions of the said condition, and an environmental condition. A radio software model generator according to any one of the claims.   5. The radio software model generator according to claim 1, further comprising an optimum model selection unit that selects an optimum model from the radio software model based on a selection policy. 6. A radio software model generator according to any one of claims 1 to 5;
An environment recognition unit for recognizing the environment;
A specification generation unit that converts the environment recognized by the environment recognition unit into a specification and inputs the specification to the radio software model generator;
A model converter that converts the radio software model generated by the radio software model generator into software for a software radio platform;
A radio communication apparatus comprising: a software radio platform unit that executes the software for software radio platform output from the model conversion unit.

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