Utility companies (for example, electric, gas, and water) are increasingly implementing usage meters that can wirelessly transmit usage data. The wireless networks for utility companies are called Smart Utility Networks (SUN). There are multiple organizations developing standards for SUN. The Institute of Electrical and Electronics Engineers (IEEE) has a standard (IEEE 802.15.4g) for SUN. The Telecommunications Industry Association (TIA) also has a standard (TR-51) for SUN.
Meters on a customer's premises may wirelessly transmit data to a data collection point operated for a utility company. The data collection point may then be connected by fiber, copper wire, or wirelessly to a central office. Usage data may be hopped from meter to meter in a mesh configuration until it reaches the data collection point. A mesh configuration may be appropriate for an urban or suburban area with a high density of meters. Alternatively, usage data may be sent directly from each meter to the data collection point (star configuration). A star configuration may be appropriate for rural environments where the density of meters is so low that there may not be a convenient neighbor to use as an intermediate hop. There may also be mixtures of star and mesh configurations.
The Open Systems Interconnection (OSI) model for networks divides communications functionality into seven logical layers. The lowest layer, called the Physical Layer (PHY) defines the conversion between the representation of digital data and the corresponding signals transmitted over the physical communications channel, and also the structure of the data frames. There are multiple PHY's supported by the SUN standards. In particular, in one embodiment, all legacy devices in a SUN communicate using Frequency Shift Keying (FSK). Accordingly, for the particular embodiment, in a mesh configuration, all devices must be able to receive FSK modulated data with the specified data frame structure. There is a need for improved SUN receivers for receiving FSK modulated data.
Utility meter data is typically sent in short bursts. For example, a meter may send usage data every 15 minutes. A receiver in a mesh configuration may go into a standby or sleep mode between received bursts. A receiver may need some time to come out of a standby mode and adjust the amplifier gain. If the amplifier gain is not at the proper level, then the preamble bits may be corrupted and they cannot be used for the signal processing functions. Accordingly, the preamble bits are not used for frequency offset estimation, bit synchronization, and bit correlation until the amplifier gain is at the appropriate level.
During standby, the amplifier gain is set to the maximum gain to enable it to detect an incoming signal at the lowest specified power. The AGC module adjusts the amplifier gain in discrete steps, and each step has some constraints (for example, up to 50 dB adjustment per step). If the amplifier gain is at the maximum gain, and if a strong signal is received, the amplifier may need to adjust the gain downward multiple steps, and each step takes time. In prior art receivers, the receiver waits for the worst case AGC adjustment time before using the preamble bits for frequency offset estimation, bit synchronization. However, if a greater number of suitable preamble bits (bits received with the amplifier at the appropriate gain) could be used, then the accuracy of frequency offset adjustment, bit synchronization, and bit correlation would be improved. If the amplifier gain is at the maximum, and a low-power signal is received, then the amplifier gain does not need to change, but if the receiver waits for the worst case AGC adjustment time then some useful preamble bits are wasted. In the following discussion, instead of using the worst case AGC adjustment time, the receiver adaptively decides the number of preamble bits to use based on information from the AGC module.
Some utility meters, for example, water meters, may be battery powered, and they may be in relatively inaccessible locations, so it is important to preserve battery life. In addition, some utility meters may use processors with limited processing capability, to save on both processor cost and power consumption. On average, an adaptive receiver will use more preamble bits for the preamble detection module than a prior art receiver that always waits for a worst-case AGC adjustment time. Accordingly, on average, an adaptive receiver will use more processor instruction cycles and more battery power processing the additional preamble bits. An adaptive receiver may choose to process a maximum number of preamble bits, where the maximum number is less than the number of suitable bits, just to conserve power or just because of limited processing capability. Additionally, this choice may vary by function, so that for example, the maximum number of preamble bits used for frequency offset estimation may be different than the maximum number of preamble bits used for bit synchronization.
Note that a mesh configuration will be stable over a relatively long period of time, so that any one receiver will receive a signal from the same set of transmitters over a relatively long period of time. In an alternative embodiment, in addition to receiving the RSSI signal, the preamble detection module 206 keeps a history of the number of amplifier gain adjustment steps required by received signals. As one example, if all of the recently received signals require at least one amplifier gain adjustment step (that is, all the signals are relatively strong), then each signal processing function “i” uses Ni2 preamble bits.
In a specific example embodiment, if the needed amplifier gain change from the maximum gain is within 50 dB (one gain adjustment step or no gain adjustment needed), then at least one signal processing function “i” uses 32 preamble bits. If the needed amplifier gain change requires at least two steps of adjustment, then at least one signal processing function “i” uses 16 preamble bits.
While illustrative and presently preferred embodiments of the invention have been described in detail herein, it is to be understood that the inventive concepts may be otherwise variously embodied and employed and that the appended claims are intended to be construed to include such variations except insofar as limited by the prior art.
This application is a divisional of prior application Ser. No. 14/294,879, filed Jun. 3, 2014; Which claims the benefit of U.S. Provisional Application No. 61/908,551 filed Nov. 25, 2013.
Number | Name | Date | Kind |
---|---|---|---|
6252865 | Walton | Jun 2001 | B1 |
6275478 | Tiedemann, Jr. | Aug 2001 | B1 |
7352801 | Ramakrishnan | Apr 2008 | B2 |
20030012313 | Husted | Jan 2003 | A1 |
20050078598 | Batra | Apr 2005 | A1 |
20100158541 | Tsunoda | Jun 2010 | A1 |
20100208840 | Dore | Aug 2010 | A1 |
20110194475 | Kim | Aug 2011 | A1 |
20120133815 | Nakanishi | May 2012 | A1 |
20120195328 | Otsuka | Aug 2012 | A1 |
20120203560 | Poulsen | Aug 2012 | A1 |
20130070696 | Tang | Mar 2013 | A1 |
20130176864 | Quan | Jul 2013 | A1 |
20130332980 | Kobayashi | Dec 2013 | A1 |
20140050157 | Korhonen | Feb 2014 | A1 |
20140153632 | Malaga | Jun 2014 | A1 |
Number | Date | Country | |
---|---|---|---|
20150349823 A1 | Dec 2015 | US |
Number | Date | Country | |
---|---|---|---|
61908551 | Nov 2013 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14294879 | Jun 2014 | US |
Child | 14821264 | US |