WO2011068421A1 - Method for optimizing processing load associated with determination of best quality data - Google Patents
Method for optimizing processing load associated with determination of best quality data Download PDFInfo
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- WO2011068421A1 WO2011068421A1 PCT/PL2009/000105 PL2009000105W WO2011068421A1 WO 2011068421 A1 WO2011068421 A1 WO 2011068421A1 PL 2009000105 W PL2009000105 W PL 2009000105W WO 2011068421 A1 WO2011068421 A1 WO 2011068421A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/24—Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W92/00—Interfaces specially adapted for wireless communication networks
- H04W92/04—Interfaces between hierarchically different network devices
- H04W92/045—Interfaces between hierarchically different network devices between access point and backbone network device
Abstract
A method for optimizing processing load associated with determination of a best quality data in a multi-input data processor of a communication system. The communication system includes a plurality of base stations in communication with the multi-input data processor. Each base station receives a data from a data terminal and transmits the data to the multi-input data processor. The multi-input, data processor processes the data received from each of the base stations to determine an acceptable quality level. The multi-input data processor then transmits the acceptable quality level to the base stations. The base stations receive at least one other data from the data terminal and transmits the at least one other data to the multi-input data processor for use in determining the best quality data, only when one or more quality metrics associated with the least one other data meet the acceptable quality level.
Description
METHOD FOR OPTIMIZING PROCESSING LOAD ASSOCIATED WITH DETERMINATION
OF BEST QUALITY DATA
FIELD OF THE DISCLOSURE
[0001] The present disclosure relates generally to communication systems and more particularly to a method for optimizing processing load associated with the determination of best quality data in a multi-input data processor of a
communication system.
BACKGROUND
[0002] In some communication systems, multi-input data processors are provided to support processing of data from multiple input sources. Such multi-input data processors receive data from multiple input sources and determine best quality data for use in further processing. Consider a communication system comprising a prime site and multiple sub sites providing data to the prime site. In such a communication system, each sub site may receive data from a particular source. However, the data received by each sub site may vary in quality and therefore the sub sites further forward the received data to the prime site, where the prime site processes the incoming data from each of the sub sites to determine best quality data.
[0003] A prime site employs a multi-input data processor to process the mcoming data from multiple sub sites for determining best quality data. However, the multi- input data processor processes a large quantity of incoming data from multiple sub sites, and therefore can typically only support a limited number of sub sites at any given time based on available processing power. This poses a challenge in the scalability of the communication system. In other words, the processing power of the multi-input data processor may limit the quantity of sub sites which communication system can accommodate below a particular desirable quantity. l
One approach to increase the scalability of a communication system would be to increase the processing power of the multi-input data processor. However, this approach is not feasible in terms of efficiency of the communication system and can further increase the cost and size of the hardware associated with the multi- input data processor. Another approach is to increase the quantity of multi-input data processors supported in the prime site. However, this approach can increase the infrastructure cost associated with the implementation of the communication system.
[0004] Accordingly, there is a need for an optimal solution that would increase the scalability of communication systems employing multi-input data processors.
BRIEF DESCRIPTION OF THE FIGURES
[0005] The accompanying figures, where like reference numerals refer to identical or functionally similar elements throughout the separate views, together with the detailed description below, are incorporated in and form part of the specification, and serve to further illustrate embodiments of concepts that include the claimed invention, and explain various principles and advantages of those embodiments.
[0006] FIG. 1 is a block diagram of a communication system employing a multi- input data processor.
[0007] FIG. 2 is a block diagram illustrating further detail of the multi-input data processor and the base station employed in the communication system shown in FIG. 1.
[0008] FIG. 3 is a flowchart illustrating a method of operation by a multi-input data processor for optimizing processing load associated with determination of best quality data in accordance with some embodiments.
[0009] FIG. 4 is a flowchart illustrating a method of operation by a base station for optimizing processing load associated with determination of best quality data in accordance with some embodiments.
[0010] FIG. 5 is a message sequence chart illustrating the operation of the communication system in accordance with some embodiments.
[0011] Skilled artisans will appreciate that elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of embodiments of the present invention.
[0012] The method components have been represented where appropriate by conventional symbols in the drawings, showing only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the disclosure with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.
DETAILED DESCRIPTION
[0013] A method for optimizing the processing load associated with the determination of a best quality data in a multi-input data processor of a communication system is provided herein. The communication system includes a plurality of base stations in communication with the multi-input data processor. Each base station receives data from a data terminal and transmits the data to the multi-input data processor. The multi-input data processor processes the data received from the base stations to determine an acceptable quality level that represents a minimum quality level for data to be subsequently received from the base stations. The multi-input data processor then transmits the acceptable quality level to the base stations. The base stations receive at least one other data from the data terminal and transmits the at least one other data to the multi-input data processor for use in determining the best quality data, only when one or more
quality metrics associated with the least one other data meet the acceptable quality level.
[0014] FIG. 1 is a block diagram illustrating a communication system 100 employing a method for optimizing processing load associated with determination of best quality data. The communication system 100 comprises a prime site 110 in communication with a plurality of sub sites 120-1 through 120-n. The prime site 110 and the sub sites 120 communicate with each other via a communication network 130. The communication network 130 includes one or more of private networks, public networks, such as the Internet, wireless networks, such as satellite and cellular networks, local area networks (LANs), wide area networks (WANs), telephone networks, such as the Public Switched Telephone Networks (PSTN), or a combination of networks. The prime site 110 employs a multi-input data processor 115 that is capable of receiving and processing inputs from multiple sources, for example, from multiple sub sites 120-1 through 120-n to determine best quality data of all the sub sites for further processing. In some communication systems, the multi-input data processor 115 is also referred to as a comparator or a voter. Each of the plurality of sub sites 120-1 through 120-n employs a base station 125- 1 through 125-n to communicate data received from a data source, for example, data terminal 140, to the multi-input data processor 115. As used herein, the term "base station" refers to any entity that includes transmitter and/or receiver to perform the functionality of receiving data from a source (e.g. data terminal) and transmitting it to another communication unit employing multi-input data processor. The data terminal 140 communicates with the sub sites 120 and therefore the base stations 125-1 through 125-n via corresponding communication links 145-1 through 145-n. The communication link 145 is either a wired link or a wireless link. The data terminal 140 may take form of a mobile or a fixed terminal.
[0015] Further, it is to be understood that the communication system 100 is only a logical representation of connection between a number of sub sites 120-1 through
120-n and a multi-input data processor 115, and thus the prime site may include multiple multi-input data processors, each connected to different logical groups of base stations distributed among the corresponding number of different sub sites. As shown in FIG. 1, the communication system 100 represents one logical group of base stations 125-1 through 125-n, connected to a single multi-input data processor 115. Accordingly, the communication system 100 can be extended to include multiple logical groups of base stations, where each logical group of base stations is connected to a different multi-input data processor. For example, each sub site can include multiple base stations and further one base station from each sub site can be grouped together to form a logical group. In accordance with some embodiments, one of the sub sites 120-1 through 120-n can assume the role of a prime site, thereby replacing the dedicated prime site 110. In such cases, the particular sub-site employs the multi-input data processor 115 and other sub sites forward data received from the data terminal 140 to the multi-input data processor 115 for use in determining best quality data.
[0016] In accordance with embodiments, the base stations 125-1 through 125-n receive data, for example, in the form of data packets from the data terminal 140. In accordance with some embodiments, the data packets identify a stream of data transmitted from a data source (e.g. data terminal 140) and received by multiple base stations 125-1 through 125-n, where the data received by each of the base stations 125 may vary in quality. The quality of data received by each base station 125 may vary due to multiple factors. For example, if the data teraiinal 140 is a mobile terminal, then the quality of data transmitted from the data terminal 140 to each base station 125 is dependent on the quality of a wireless link between the mobile terminal and the base station, which in turn is dependent on multiple parameters such as coverage area, signal to noise interference, line of sight and the like.
[0017] Instead of transmitting all of the data packets received from the data terminal 140 to the multi-input data processor 115, each base station 125 initially
transmits a single data packet to the multi-input data processor 115 which processes the data packets received from the base stations 125 to compute an acceptable quality level (also referred to as quality threshold (QT)). As used herein, the term "acceptable quality level" represents a quality cut-off level for packets to be subsequently received from the base stations 125. The base stations 125 transmit subsequent packets only when quality metrics associated with the subsequent packets is equal to or better than the received acceptable quality level.
[0018] The acceptable quality level for the base stations 125 is determined from one or more parameters, for example, parameters dependent on the quality of the received data packet and current processing load of the multi-input data processor 115. In one embodiment, the computed acceptable quality level represents a received signal strength indication (RSSI) threshold and/or a bit error rate (BER) threshold. In accordance with some embodiments, consider that the multi-input data processor 1 15 receives packets from "n" base stations 125-1 through 125-n that varies in quality (XI, X2....Xn), the multi-input data processor 115 determines acceptable quality level (QT) so that maximum of M values from a set (X 1 , X2....Xn) are better than QT. Here, M represents a maximum number of simultaneous packets a multi-input data processor 115 can process. The base stations 125 then use this acceptable quality level to decide whether to further transmit the packets received from the data terminal 140 to the multi-input data processor 115. Therefore, the base stations 125 send only those packets with quality metrics meeting the acceptable quality level. In this manner, the number of packets reaching the multi-input data processor 115 is reduced and at the same time, the multi-input data processor 115 receives sufficient adequate sets of data packets from each of the base stations 125 for detennining a best quality data, thereby optimizing the processing load associated with the determination of best quality data.
[0019] In accordance with some embodiments, one or more base stations 125-n have substantial amounts of data packets with quality metrics meeting the
computed acceptable quality level. In such cases, the multi-input data processor is likely to receive excessive packets from these base stations 125-n and the processing capability of the multi-input data processor 115 may not be enough to process the excessive packets that meet the initially computed acceptable quality level. In order to further minimize the number of packets transmitted from these base stations 125-n to the multi-input data processor 115, the multi-input data processor 115 monitors the quality metrics of packets already received from the base stations 125 and based on the processing capability, the multi-input data processor 115 dynamically adjusts the acceptable quality levels to an higher acceptable quality level which would reduce the number of incoming packets from the base stations 125. In this case, the adjusted acceptable quality level has a more stringent quality requirement for packets than the initially computed acceptable quality level. In another case, one or more base stations 125-n may have fewer packets with quality metrics meeting the initially computed acceptable quality level. In such cases, the multi-input data processor 115 would not get adequate data packets for determining best quality data and therefore the multi- input data processor 115 decides to adjust the acceptable quality level to a lower acceptable quality level which would increase the number of incoming packets from the base stations 125. In this case, the adjusted acceptable quality level has a more relaxed quality requirement for packets than the initially computed acceptable quality level.
[0020] In one embodiment, the adjusted acceptable quality level is sent to all base stations 125-1 through 125-n, where each base station 125 sends a subsequent packet only when quality metrics of the subsequent packet meet the adjusted acceptable quality level. In another embodiment, the adjusted acceptable quality level is only sent to a selected number of base stations from the base stations 125- 1 through 125-n, while the other base stations continues to use the initially computed acceptable quality level for sending subsequent packets.
[0021] FIG. 2 is a block diagram illustrating further detail of a multi-input data processor 115 and a base station 125 for operation within the communication system 100 of FIG. 1 in accordance with some embodiments. The multi-input data processor 115 includes a processor 210, a communication interface 220 and a memory 230. The base station 125 includes a processor 240, a communication interface 250, and a memory 260. The processor 210, 240 includes one or more microprocessors, microcontrollers, DSPs (digital signal processors), state machines, logic circuitry, or any other device or devices that process information based on operational or programming instructions. Such operational or programming instructions are stored in the memory 230, 260.
[0022] The memory 230, 260 can be an IC (integrated circuit) memory chip containing any form of RAM (random-access memory) , a floppy disk, a CD-RW (compact disk with read write), a hard disk drive, a DVD-RW (digital versatile disc with read write), a flash memory card, external subscriber identity module (SIM) card or any other medium for storing digital information. One of ordinary skill in the art will recognize that when the processor 210, 240 has one or more of its functions performed by a state machine or logic circuitry, the memory 230, 260 containing the corresponding operational instructions can be embedded within the state machine or logic circuitry.
[0023] The communication interface 220, 250 includes appropriate hardware and software architecture in accordance with known techniques that enable communication of data between the multi-input data processor 115 and the base station 125. The communication interface 250 also enables communication between the base station 125 and the data terminal 140. In accordance with some embodiments, the communication interface 250 is implemented as a wireless interface for communication with the data terminal 140 and as a wired interface for communication with the multi-input data processor 115. If implemented as a wireless interface, the communication interface 250 includes an antenna (not shown) that comprises any known or developed structure for radiating and
receiving electromagnetic energy in the frequency range containing the wireless carrier frequencies.
[0024] As illustrated in FIG. 2, the memory 230 stores and maintains quality parameters 235 that are used to determine an acceptable quality level for receipt of data from base stations 125-1 through 125-n. The quality parameters 235 represent criteria used by the multi-input data processor 115 to determine an acceptable quality level. In one embodiment, the criteria used by the multi-input data processor 115 include processing capability of the multi-input data processor 115 and quality metrics of the data packet received from the base station 125. The processing capability represents a maximum number of packets that can be processed simultaneously by the multi-input data processor 115. The quality metrics of the data packets can be determined based on one or more of a signal strength of the received data packet, an inband to out of band power ratio, error (e.g. bit error rate) associated with the received signal, and other parameters that can be used to identify quality of the received signal.
[0025] The memory 260 included in the base station 125 stores the acceptable quality level information 265 received from the multi-input data processor 115. In one embodiment, the acceptable quality level information represents a received signal strength indication (RSSI) threshold and/or a bit error rate (BER) threshold. The base station 125 uses the stored acceptable quality level information 265 to determine which packets received from the data terminal 140 can be transmitted to the multi-input data processor 115. For example, if the stored acceptable quality level represents a RSSI threshold of -30 and/or a BER threshold of 10"6, then the base station 125 sends only those data packets which have a RSSI value greater than or equal to -30 and/or BER value less than or equal to 10"6, respectively. When the base station 125 receives a further adjusted higher acceptable quality level, the base station 125 replaces the currently stored acceptable quality level information 265 with the adjusted acceptable quality level information.
[0026] FIG. 3 is a flowchart illustrating a method 300 of operation by a multi- input data processor 115 for optimizing processing load associated with determination of best quality data, in accordance with some embodiments. At step 305, the method 300 begins with the multi-input data processor 115 receiving a data packet from the base station 125. Next at step 310, the multi-input data processor 115 processes the received data packet and uses the quality parameters 235 stored in the memory 230 to compute an acceptable quality level. The multi- input data processor 115, at step 315, sends the computed acceptable quality level to the base station 125. As discussed previously, the acceptable quality level represents a quality cut-off level for packets to be subsequently received from the base station 125 for which the acceptable quality level is computed. Subsequently, at step 320, the multi-input data processor 115 receives one or more packets from the base station 125, where quality metrics associated with the received one or more packets meet the acceptable quality level.
[0027] Upon receiving the data packets from the base station 125, at step 325, the multi-input data processor 115 monitors the received data packets (including data packets received from other base stations 125-n) and compares an amount of received packets to a processing threshold. As used herein, the term "processing threshold" is defined by amount of packets that can be processed simultaneously by the multi-input data processor 115. Next, at step 330, the multi-input data processor 115 determines whether to adjust the acceptable quality level based on comparison of the amount of received data packets to the processing threshold. When the multi-input data processor 115 determines to adjust the acceptable quality level, the multi-input data processor 115 proceeds to step 340 to compute an adjusted acceptable quality level based on whether the amount of received data packets exceeds or falls below the processing threshold. For example, when the multi-input data processor 115 detennines that the amount of received data packets exceeds the processing threshold, the multi-input data processor 115 adjusts the acceptable quality level to an higher acceptable quality level (having a
stringent quality requirement) so that the amount of packets sent from the base station 125 to the multi-input data processor 115 does not exceed the processing threshold. On the other hand, when the multi-input data processor 115 determines that the amount of received data packets from the base station 125 falls below the processing threshold, the multi-input data processor 115 adjusts the acceptable quality level to a lower acceptable quality level (having a relaxed quality requirement) so that the amount of packets sent from the base station 125 to the multi-input data processor meets the processing threshold.
[0028] Next, at step 345, the multi-input data processor 115 sends the adjusted acceptable quality level to the base station 125 and receives subsequent packets from the base station 125 with quality metrics meeting the adjusted acceptable quality level as shown in step 350.
[0029] Returning to step 330, when the multi-input data processor 115 determines that there is no need to adjust the acceptable quality level, then the multi-input data processor 115 will continue to receive data packets with quality metrics meeting the acceptable quality level as shown in step 335.For example, the multi- input data processor 115 determines that the amount of data packets received from the base station 125 neither exceeds nor falls below the processing threshold. In this case, the multi-input data processor 115 decides that the initially computed acceptable quality level is optimized to keep the amount of packets to the processing threshold, and therefore proceeds to use the initially computed acceptable quality level for receiving subsequent packets from the base station 125.
[0030] Although, the method 300 is described as being performed by the multi- input data processor 115 with reference to data packets received from a single base station, in practice, the method 300 is concurrently performed by the multi- input data processor 115 with reference to data packets received from each of the base stations 125-1 through 125-n associated with a particular logical group. The multi-input data processor 115 processes the data packets received from all the
base stations as a result of the method 300 to create a composite packet representing the best quality data based on known mechanisms. In accordance with some embodiments, the quality of the composite packet representing the best quality data is better than all of the individual set of packets received from each of the base stations 125-1 through 125-n.
[0031] FIG. 4 is a flowchart illustrating a method 400 of operation by a base station 125 for optimizing processing load associated with determination of best quality data in a multi-input data processor 115 in accordance with some embodiments. At step 405, the method 300 begins with the base station 125 receiving a plurality of data packets, for example, associated with a data stream from a data terminal 140. In accordance with some embodiments, the data terminal 140 sends the packets one by one every fixed interval of time, which is received by multiple base stations 125-1 through 125-n. In one embodiment, the data terminal 140 sends the packets over the air (OTA) which is then received by multiple base stations 125-1 through 125-n. Next, at step 410, each of the base stations 125 in turn sends a single data packet to the multi-input data processor 115 via the communication network 130. In accordance with embodiments, the multi-input data processor 115 uses data packet transmitted from different base stations 125-1 through 125-n to compute an acceptable quality level and sends the acceptable quality level to the base stations 125. At step 420, each base station 125 receives the acceptable quality level from the multi-input data processor 115.
[0032] Next at step 425, each base station 125 determines one or more quality metrics for at least one other data packet received from the data terminal 140. Each base station 125 then compares the quality metrics for the at least one other data packet to the acceptable quality level as shown in step 430. If the base station 125 detenriines that the quality metrics for the at least one other data packet meet (better than or equal to) the acceptable quality level, then the base station 125 sends the at least one other data packet to the multi-input data processor 115 as shown in step 435. Returning to step 425, if the base station 125 determines that
the quality metrics of the at least one other data packet do not meet the acceptable quality level, then the base station 125 refrains from sending the at least one other data packet to the multi-input data processor 115. Each base station 125 then proceeds to step 420 and repeats the step of comparing the quality metrics with the received acceptable quality level for all packets received from the data terminal 140.
[0033] In one example, the base station 125 further receives an adjusted acceptable quality level when the multi-input data processor 115 decides to adjust the initially computed acceptable quality level as the amount of received data either exceeds or falls below the processing threshold. . In such cases, the base station 125 sends only those packets with quality metrics which meet the adjusted acceptable quality level. Otherwise, if the base station 125 does not receive any adjusted acceptable quality level, the base station 125 continues to send those packets with quality metrics meeting the initial acceptable quality level.
[0034] FIG. 5 is a message sequence chart 500 illustrating the operation of the communication system 100 in accordance with some embodiments. The message sequence chart 500 illustrates messages exchanged among a data terminal 140, a plurality of base stations 125-1 through 125-n, and a multi-input data processor 115. In the message sequence chart 500, each message is represented by an arrow between a source and a destination. The messages 505, 510, and 515 represent a packet (packet 1) transmitted from the data terminal 140 to the base stations 125-1, 125-2, and 125-n, respectively. Each, base station 125-1 through 125-n receives the packet (packet 1) that may vary in quality. In FIG. 5, the quality metric identifying the quality of the packet (packet 1) received at base station 125-1, 125- 2, and 125-n are shown as packet 1 (quality XI), packet 1 (quality X2), and packet 1 (quality Xn), respectively. The base station 125-1 transmits the message 520 with the received packet (packet 1 (quality XI)) to the multi-input data processor 115. The base station 125-2 transmits the message 525 with the received packet (packet 1 (quality X2)) to the multi-input data processor 115. The base station
125-n transmits the message 530 with the received packet (packet 1 (quality Xn)) to the multi-input data processor 115. The multi-input data processor 115 processes the received data packet from each of the base stations 125-1 through 125-n and compares the quality of the received data packets and the processing threshold to compute an acceptable quality level. For example, the multi-input data processor 115 determines an acceptable quality level (QT) so that maximum of M values from a set (XI, X2, and Xn) are better than QT, where M is a maximum number of simultaneous packets which the multi-input data processor 115 can process.
[0035] The multi-input data processor 115 transmits a message 535 with the acceptable quality level QT to the base station 125-1, a message 540 with QT to the base station 125-2, and a message 545 with QT to the base station 125-n. The messages 550, 555, and 560 represent a next data packet (packet 2) transmitted from the data terminal 140 to the base stations 125-1, 125-2 and 125-n
respectively. Each base station 125-1 through 125-n receives the packet (packet 2) that may vary in quality. In FIG. 5, the quality metric identifying the quality of the packet (packet 2) received at base stations 125-1, 125-2, and 125-n are shown as packet 2 (quality Yl), packet 1 (quality Y2), and packet 1 (quality Yn), respectively. The base station 125-1 determines that quality Y2 of packet 2 is better than or equal to QT and therefore transmits the message 565 with the received packet (packet 2 (quality Yl)) to the multi-input data processor 115. The base station 125-2 determines that the quality Y2 of packet 2 is worse than QT and therefore refrains from further transmitting the packet 2. The base station 125- n determines that quality Yn of packet 2 is better than or equal to QT and therefore transmits the message 570 with the received packet (packet 2 (quality Yn)) to the multi-input data processor 115.
[0036] The multi-input data processor 115 may decide to adjust the acceptable quality level for one or more base stations based on received data packets. As shown in FIG. 5, the multi-input data processor 115 decides to adjust the
acceptable quality level QT to QT1. For example, the multi-input data processor determines that an amount of data packets received from the base stations 125-1 through 125-n based on the initial acceptable quality level QT exceeds the processing capability of the multi-input data processor 115 and therefore adjusts QT to an higher acceptable quality level (QT_1) and transmits a message 575, 577, and 579 with adjusted acceptable quality level (QT_1) information to the base stations 125-1, 125-2, and 125-n, respectively. In accordance with embodiments, the adjusted acceptable level QT_1 can be either sent to all base stations 125-1 through 125-n or only a selected number of base stations 125.
[0037] As shown in FIG. 5, the messages 580, 585, and 590 represent a packet (packet i) transmitted from the data terminal 140 to the base stations 125-1, 125-2, and 125-n, respectively. The base station 125-1 determines that the quality metric (quality Zl) of the received packet (packet i) is not better than the adjusted acceptable quality level (QT_1) and therefore refrains from transmitting the received packet (packet i) to the multi-input data processor 115. The base station 125-2 determines that the quality metric (quality Z2) of the received packet (packet i) is better than or equal to the adjusted acceptable quality level (QT_1) and transmits a message 595 with the received packet (packet i) to the multi-input data processor 115. The base station 125-n determines that the quality metric (quality Zn) of the received packet (packet i) is better than or equal to the adjusted acceptable quality level (QT_1) and transmits a message 600 with the received packet (packet i) to the multi-input data processor 115. The exchange of above messages is repeated for each subsequent packet received from the data terminal 140 in accordance with the embodiments discussed above. The multi-input data processor 115 collects the data packets received from the data terminal 140 in this manner and determines best quality data for further processing based on known mechanisms.
[0038] In accordance with the embodiments discussed above, the multi-input data processor 115 receives less number of data packets than it would have normally
received from the sub sites (base stations) for purposes of determining best quality data. Reduction in the number of packets for determining best quality data in turn optimizes the processing load of the multi-input data processor 115 and such optimization in processing load can further be used advantageously to add more sub sites into the communication system 100.
[0039] In the foregoing specification, specific embodiments have been described. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the invention as set forth in the claims below. Accordingly, the specification and figures are to be regarded in an illustrative rather than a restrictive sense, and all such
modifications are intended to be included within the scope of present teachings.
[0040] The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential features or elements of any or all the claims. The invention is defined solely by the appended claims including any amendments made during the pendency of this application and all equivalents of those claims as issued.
[0041] Moreover in this document, relational terms such as first and second, top and bottom, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms
"comprises," "comprising," "has", "having," "includes", "including," "contains", "containing" or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or article that comprises, has, includes, contains a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or article. An element proceeded by "comprises ...a", "has ...a", "includes ...a", "contains ...a" does not, without more constraints, preclude the existence of additional identical elements in the process, method, or article that comprises, has, includes,
contains the element. The terms "a" and "an" are defined as one or more unless explicitly stated otherwise herein. The terms "substantially", "essentially", "approximately", "about" or any other version thereof, are defined as being close to as understood by one of ordinary skill in the art, and in one non-limiting embodiment the term is defined to be within 10%, in another embodiment within 5%, in another embodiment within 1% and in another embodiment within 0.5%. The term "coupled" as used herein is defined as connected, although not necessarily directly and not necessarily mechanically. A device or structure that is "configured" in a certain way is configured in at least that way, but may also be configured in ways that are not listed.
[0042] It will be appreciated that some embodiments may be comprised of one or more generic or specialized processors (or "processing devices") such as microprocessors, digital signal processors, customized processors and field programmable gate arrays (FPGAs) and unique stored program instructions (including both software and firmware) that control the one or more processors to implement, in conjunction with certain non-processor circuits, some, most, or all of the functions of the method described herein. Alternatively, some or all functions could be implemented by a state machine that has no stored program instructions, or in one or more application specific integrated circuits (ASICs), in which each function or some combinations of certain of the functions are implemented as custom logic. Of course, a combination of the two approaches could be used.
[0043] Moreover, an embodiment can be implemented as a computer-readable storage medium having computer readable code stored thereon for programming a computer (e.g., comprising a processor) to perform a method as described and claimed herein. Examples of such computer-readable storage mediums include, but are not limited to, a hard disk, a CD-ROM, an optical storage device, a magnetic storage device, a ROM (Read Only Memory), a PROM (Programmable Read Only Memory), an EPROM (Erasable Programmable Read Only Memory),
an EEPROM (Electrically Erasable Programmable Read Only Memory) and a Flash memory. Further, it is expected that one of ordinary skill, notwithstanding possibly significant effort and many design choices motivated by, for example, available time, current technology, and economic considerations, when guided by the concepts and principles disclosed herein will be readily capable of generating such software instructions and programs and ICs with minimal experimentation.
[0044] The Abstract of the Disclosure is provided to allow the reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in various embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separately claimed subject matter.
Claims
1. A method for optimizing processing load associated with determination of a best quality data in a multi-input data processor of a communication system that includes a plurality of base stations in communication with the multi-input data processor, the method comprising:
receiving a data by each of the plurality of base stations from a data terminal;
transmitting the data from each of the plurality of base stations to the multi-input data processor;
processing the data at the multi-input data processor to determine a an acceptable quality level representing a minimum quality level for data to be subsequently received from each of the base stations;
transmitting the acceptable quality level from the multi-input data processor to the respective base stations;
receiving at least one other data by each of the plurality of base stations from the data terminal; and
transmitting the at least one other data from each of the base stations to the multi-input data processor for use in determining the best quality data, only when one or more quality metrics associated with the least one other data meet the acceptable quality level.
2. The method of claim 1 , further comprising
refraining, by each of the base stations, from transmitting the at least one other data to the multi-input data processor when one or more quality metrics of the at least one other data do not meet the acceptable quality level.
3. The method of claim 1 , further comprising
processing, at the multi-input data processor, the data received from each of the base stations to create a composite data representing the best quality data.
4. The method of claim 1, further comprising
comparing, at the multi-input data processor, an amount of received data from the plurality of base stations to a processing threshold;
adjusting, at the multi-input data processor, the acceptable quality level when the amount of received data either exceeds or falls below the processing threshold;
transmitting the adjusted acceptable quality level from the multi-input data processor to the each of the plurality of base stations; and
transmitting the data subsequent to the at least one other data from each of the plurality of base stations to the multi-input data processor, only when one or more quality metrics of the data subsequent to the at least one other data meet the adjusted acceptable quality level.
5. The method of claim 1, wherein the base stations receive the data via a wireless connection from the data terminal.
6. The method of claim 1, wherein the base stations receive the data via a wired connection from the data terminal.
7. The method of claim 1, wherein the plurality of base stations are in communication with the multi-input data processor either via a wired link or a wireless link.
8. A method for optimizing processing load associated with determination of a best quality data in a multi-input data processor of a communication system that includes a plurality of sub sites in communication with the multi-input data processor, the method comprising:
at the multi-input data processor:
receiving an incoming packet from a base station associated with one of the plurality of sub sites;
processing the received incoming packet to compute an acceptable quality level based on quality parameters, the acceptable quality level representing a minimum quality level for packets to be received subsequent to the incoming packet from the base station;
sending information related to the acceptable quality level to the base station associated with the one of the plurality of sub sites; and
at the base station:
transmitting at least one packet subsequent to the incoming packet to the multi-input data processor for use in determining the best quality data, when quality metrics associated with the at least one packet meet the acceptable quality level.
9. The method of claim 8, further comprising
receiving, at the multi-input data processor, the at least one packet subsequent to the incoming packet from the base station.
10. The method of claim 8, further comprising
at the base station:
refraining from transmitting the at least one packet subsequent to the incoming packet to the multi-input data processor when quality metrics associated with the at least one other packet does not meet the acceptable quality level.
11. The method of claim 8, further comprising repeating, by the multi- input data processor, the steps of receiving , processing, and sending, for at least one other base station associated with at least another one of plurality of sub sites.
12. The method of claim 11 , wherein the multi-input data processor processes the packets of data received from the base station and the at least one other base station associated with another one of the plurality of sub sites to create a composite packet representing the best quality data.
13. The method of claim 12, wherein a quality level of the composite packet is equal to or better than a quality of individual packets received from each of the plurality of base stations.
14. The method of claim 8, further comprising
at the multi-input data processor:
comparing an amount of packets received from the base station to a processing threshold;
adjusting the acceptable quality level when the amount of packets either exceeds or falls below the processing threshold;
sending information related to the adjusted acceptable quality level to the base station; and
at the base station:
transmitting at least one other packet subsequent to the at least one packet to the multi-input data processor when quality metrics associated with the at least one other packet meet the adjusted acceptable quality level.
15. The method of claim 8, further comprising repeating, by the multi- input data processor, the steps of processing, computing, and sending for at least one other base station associated with at least another one of the plurality of sub sites.
16. The method of claim 8, repeating, by at least one other multi-input data processor, the steps of receiving, processing, and sending for at least one other base station associated with each of the plurality of sub sites.
17. A method for optimizing processing load associated with determination of a best quality data in a multi-input data processor of a communication system that includes a plurality of base stations in communication with the multi-input data processor, the method comprising:
at each of the plurality of base stations;
receiving a plurality of packets associated with a data stream from a data terminal;
sending a packet of the plurality of packets to the multi-input data processor to enable the multi-input data processor to compute an acceptable quality level for subsequent packets;
receiving information related to the acceptable quality level from the multi-input data processor;
processing at least one other packet from the plurality of packets to determine one or more quality metrics for the at least one other packet; and
sending the at least one other packet of the plurality of packets to the multi-input data processor for use in determining the best quality data when the one or more quality metrics for the at least one other packet meet the acceptable quality level.
18. The method of claim 17, further comprising:
at each of the plurality of base stations:
refraining from sending the at least one other packet of the plurality of packets to the multi-input data processor when the one or more quality metrics for the at least one other packet do not meet the acceptable quality level.
19. The method of claim 17, further comprising repeating, by each of the plurality of base stations, the steps of processing, and sending or refraining for each of the plurality of packets associated with the data stream.
20. The method of claim 17, further comprising:
at each of the plurality of base stations:
receiving information related to an adjusted acceptable quality level from the multi-input data processor, wherein the adjusted acceptable quality level represents a minimum quality level for one or more packets to be sent to the multi-input data processor subsequent to the at least one other packet; and
processing the one or more packets from the plurality of packets to determine one or more quality metrics for the one or more packets to be sent to the multi-input data processor subsequent to the at least one other packet; and sending the one or more packets of the plurality of packets to the multi- input data processor when the one or more quality metrics for the one or more packets meet the adjusted acceptable quality level.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/PL2009/000105 WO2011068421A1 (en) | 2009-12-02 | 2009-12-02 | Method for optimizing processing load associated with determination of best quality data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/PL2009/000105 WO2011068421A1 (en) | 2009-12-02 | 2009-12-02 | Method for optimizing processing load associated with determination of best quality data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2011068421A1 true WO2011068421A1 (en) | 2011-06-09 |
Family
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/PL2009/000105 WO2011068421A1 (en) | 2009-12-02 | 2009-12-02 | Method for optimizing processing load associated with determination of best quality data |
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| Country | Link |
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| WO (1) | WO2011068421A1 (en) |
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