As DSPs and FPGAs be come ever more capable and general-purpose
microprocessors sprout multiple and specialized cores, software defined
radio (SDR) implementations are benefiting. In addition to greatly
improved standard hardware components, large advances also have occurred
in the processes underlying development and production of custom SOCs.
All these opportunities are adding to the diversity of SDR approaches
being pursued worldwide.
An FPGA can be programmed to execute a variety of algorithms at
high speed. A DSP may be almost as flexible and fit better into a
company's product development flow. And, general-purpose
microprocessors have the depth of compiler availability across multiple
platforms that enables highly efficient program development.
On the other hand, a custom SOC can be tailored to address
communications processing much more effectively than any of the other
solutions. Of course, tools for programming and verifying the
performance of a completely new SOC are themselves both new and
proprietary.
These are just a few of the contradictions and trade-offs that
characterize SDR development today. Additional factors include the
specific environment in which the radio will be used;the importance of
power consumption, portability, and cost; and whether the design is to
replace one or more legacy systems.
A Base-Station SDR Solution
Today's general-purpose microprocessors are fast enough to
handle many types of communications algorithms as well as control
functions. Vanu has taken advantage of this high-speed microprocessor
technology in its Any wave[TM] Base Station Subsystem (Figure 1). Power
is not a major issue in most fixed-location installations, and shifting
a large portion of signal processing from hardware to software has major
benefits.
[FIGURE 1 OMITTED]
From a cellular-network operator's point of view, only one
equipment rack is needed regardless of the number and types of standards
supported. This compares with a typical installation requiring separate
hardware for each standard. And, within the Any wave rack,the only
special-purpose hardware is the RF head that performs digital
channelization and down -conversion in receive mode and digital
up-conversion and summing in transmit mode.
Data communications with the RF head are via Gigabit Ethernet and
direct fiber links. All further signal processing is done in software
running on industry-standard servers. This means that the network
operator can select the most appropriate computer, allowing cost savings
for less stringent applications as well as the opportunity to use
multiple blade servers where the highest performance is required.
For Vanu, building a totally software product involved a major
testing challenge. The communications standards that have been
implemented continue to change, and there are new standards periodically
introduced, In addition, algorithms are continuously upgraded. All these
factors are addressed by ongoing software development, but the testing
implications are daunting.
To deal with the problem and improve quality by avoiding human
error, a fully automated 24/7 test system was developed. As described in
a paper presented at the SDR Forum Technical Conference 2006," The
continuous automated testing system ... called Tinderbox, is built on
the tinderbox system originally developed by the Mozilla open-source
project ....In an environment of networked hosts, independent build
servers check out a project's source code from the central
repository; compile, measure, and test it; then e-mail the results to a
central database server and Web display." (1)
Testing with this kind of system is much more thorough than can be
accomplished by any manual approach. In addition to testing code across
several platforms, a variety of compiles and compiler diagnostic
settings can be used. The end result is that compilation-specific bugs
are avoided as well as code that is incompatible with certain
development tools.
In Vanu's case, implementing SDR entirely in software makes a
continuous automated test system particularly effective. The role played
by specialpurpose hardware is much larger in portable SDR
implementations, and the test challenges are different. For example,
algorithms executing within a specific type of FPGAor DSP do not need to
be ported to many other types of devices in the way that Vanu software
is ported to many platforms.
Facilitating Portable SDR
The hardware emphasis in portable radio applications is largely a
consequence of power, size, and cost restrictions. The flexibility of a
programmable SDR approach is desirable but has been compromised in the
past by lack of suitable components.
The Sandblaster[R] SB3000 DSP Series developed by Sandbridge
Technologies is a special-purpose communications platform that can be
programmed in C and dynamically reconfigured in nanoseconds. The device
has been designed for parallel, real-time communications system
processing. Low power consumption has been achieved by design
optimization. The instruction set supports simplified decoding for
vector and compound operations as well as sleep, nap, and doze
reduced-power modes. Multithreading optimizes efficiency by turning off
threads and allowing the use of slower latency memories. Finally, the
circuitry runs at 0.9 V, and its organization minimizes the number of
areas that are active at any time.
The Sandblaster SB 3011 SOC was included in a paper presented at
the SDR Forum Technical Conference 2006.(2) In addition, a much more
comprehensive discussion of the SB3000 device and its programming
environment is available in a separate paper on the company's
website.(3)
Sandbridge Technologies has focused on baseband processing, leaving
the RF front end and digitization to others. These areas are not
trivial, largely because of power limitations and the range of protocols
to be covered, each with its own mix of noise figure, bandwidth,
sampling rate, and precision requirements.
The Sandblaster DSP
DSP technology provides several benefits. Fast signal-processing
computations require the multiply-accumulate units that DSPs typically
provide, and historically, DSPs have supported real-time parallel
execution. But they aren't programmed in a high-level language. The
new architecture combines DSP performance with the advantages of
high-level programming.
The current SB3000 features a 64-b compound instruction set in
which specific 21-b fields may issue multiple suboperations including
data parallel vector operations. Each instruction is completely
interlocked and defined so that it has no visible pipeline effects. This
means that fast interrupt response is possible.
Four instances of the Sandblaster core are provided in the SB3000
along with an ARM microcontroller that functions as an applications
processor. In addition, the chip contains numerous digital interfaces.
Connectivity to external systems is via the USB port, and RF and
front-end chips are controlled from the JTAG, SPI, and [I.sup.2]C buses
(Figure 2).
[FIGURE 2 OMITTED]
Chip performance is reported to be equivalent to greater than 12
Gigabit Ethernet media access controls (GMACs) at a maximum 800-MHz
clock speed.
Internally, the microarchitecture uses token triggered
multithreading to allow memory access at a slower rate and in a
predetermined order. The chip supports 2-Mb/s WCDMA 3G transmission in
real time and separately can execute the digital base band processing
for GPRS, 802. 11b, Bluetooth, or GPS.
The latest SOC in the series, the SB3500, currently is under
development using an enhanced instruction set and extended Sandblaster
2.0 architecture. Chip performance is expected to be 30 GMACs peak. The
SB 3500 will support systems up to long-term evolution (LTE) at 50 Mb/s
and separately, broadband multiple-input multiple-output-orthogonal
frequency division multiplexing (MTMO-OFDM) systems such as 802.1 In and
802.16e including multimedia standards H264 and MPEG4. The new chip is
expected to be available in Q3 2008.
On the software side, Sandbridge has developed a vectorizing
compiler as well as a simulator based on the same tech- niques. The
benefit of such a compiler is in bridging the gap between what a group
of C statements means and how that can best be implemented on the target
DSP platform.
In the past, this difficult complier problem was approached in a
variety of ways. Early DSP architectures were designed for fast
operation but not necessarily with compilability in mind. Architectures
with very long instruction words (VLIW) improved instruction
orthogonality, which helped the complier problem but greatly expanded
program size.
Libraries of functions coded in assembly language also can be used
to overcome DSP programming problems. Control code can be written in C
and the dense signal processing algorithms called from a library. Of
course, somebody has to write and test the library functions, but if
they are used often, this can be a viable approach.
Finally, you could use intrinsic functions. In this method, the
compiler writer provides a list of low-level instructions equivalent to
what looks like a C code function call. During preprocessing, the C
function is replaced by the list of low-level DSP instructions. This
works but has shifted what was an assembly language programming job to
the compiler writer.
Instead of these techniques, Sand-bridge has used modern
supercomputer semantic analysis. The complier analyzes the C code,
automatically extracts the DSP operations, and generates optimized
multithreaded DSP code. This process can be very complicated. For
example, such a complier may have to significantly reorder loops coded
in Ceither by splitting or jamming them together depending on the
nesting depth.
The Sandbridge integrated development environment (IDE) is based on
the open source Netbeans IDE and is the GUI to the C compiler,
assembler, simulator, and debugger. Within the IDE, you can create,
edit, build, execute, and debug an application. Access to multithreading
is via either Java threads or portable operating system interface
(POSIX) pthreads.
To address the RF front end, Bit-Wave Semiconductor has developed
the Softransceiver[TM] REIC which features dynamically reconfigurable
functional blocks (Figure 3). The device provides the full transmit and
receive front-end chains. Transmit covers the baseband interface to the
driver amplifier, and receive includes the low-noise amplifier (LNA)
back to the baseband interface. The required ADC, DAC, filters,
synthesizers, and DSP are integrated in the RFIC together with test and
calibration circuitry using 130-nm digital CMOS technology.
[FIGURE 3 OMITTED]
Based on the performance profiles of several popular wireless
protocols, the company's designers created a flexible architecture
that can be programmed to suit the application. For example, the on-chip
narrowband low-noise amplifier is tunable over a wide frequency range to
cover GSM 900, UMTS, and 802.11g requirements.
Throughout the design, the emphasis has been to balance
performance, power, and cost. This results in a small, low-power IC that
addresses the need for multiprotocol communications systems.
The RF tuning range extends from 700 MHz to 3,800 MHz, and
band-widths from 25 kHz to 20 MHz are supported. Virtually all popular
mobile standards within this range are available including:
* UMTS (GSM, GPRS, EDGE, W-CDMA, HSDPA)
* CDMA2K (IS-95B, 1xRTT, EV-DO)
* 802.11b/g, WiMAX, WiBro
* iDEN, AMPS, PHS, IS-136
* DVB-h, DVB-T, DTV, ISDB-T, DAB
* Bluetooth, GPS
Each of the on-chip functional blocks is controlled by a separate
register. So, at a basic level, you tune the chip characteristics for a
given protocol by suitably programming the bits in those registers. A
chip statically configured in this way will operate in compliance with
the selected standard.
However, depending on many factors that could affect operation,
such as temperature, power supply volt- age, local RF noise, and receive
signal power level, the performance may not be optimum. An on-board
8051-style microcontroller is available to monitor performance and make
corrections using closed-loop feedback.
A crystal-controlled clock oscillator provides an accurate time and
frequency reference, and a precision resistor together with an accurate
integrated current source support current, voltage, and power
measurements. Given that all the relevant parts of an RF measurement
system are already implemented and separately controllable in the RFIC,
the opportunity for a sophisticated self-test capability exists.
Benefits
For a number of years, cell phones have embedded a microprocessor,
typically an ARM core, to handle much of the baseband processing and
control. It performance in either of these areas was inadequate under
some conditions or if updates to related features were required, it
involved a software change. New models could be based on the same
platform if the hardware could handle higher speeds and whatever other
changes might be needed. Much of the time, designers didn't have to
develop a completely new platform.
The same types of advantages are associated with the Sandbridge and
BitWave ICs. These general-purpose platforms address baseband and RF
front-end signal processing, respectively. In the same way that an ARM
core can be reprogrammed to handle new requirements, so too can
developers reprogram these ICs without needing to alter the hardware
design. This means that the time and effort associated with handling a
new communications protocol arc much reduced.
Sandbridge listed six benefits:
* Recontigurable solutions are more flexible, allowing multiple
communications protocols to dynamically execute on the same transistors
to reduce hardware costs. Specific functions such as fillers, modulation
schemes, and encoders/decoders can be reconfigured adaptively at run
time.
* Several communications protocols can be efficient!v stored in
memorv and coexist or execute concurrently. This significantly reduces
the cost of the svstcm for both the end user and the service provider.
* Remotely configurable protocols provide simple and inexpensive
software version conJro) and feature upgrades. This allows service
providers to differ entiatc products after deployment.
* The development time of new and existing communications protocols
is significantly reduced, providing an accelerated time to market.
Development cycles are not limited by long and laborious hardware design
cycles. With SDR, new protocols are quickly added as soon as the
software is readv for deployment.
* SDR provides an attractive method of dealing with new standards
releases while assuring backward compatibility with existing standards.
* Any defects found in the field can be fixed by changing the
software, possibly even transparently to the user, without requiring a
hardware change or chip respin.
Bit Wave listed additional benefits:
* With SDR-enabled portable devices, consumers could buy a phone
first and activate it on the network of choice or could benefit through
post-sale service activation.
* Mobile virtual network operators could partner with multiple
networks to obtain the best business value unrestrieted by the
constraints of any particular protocol or frequency.
* Device OEMs can realize supply-chain improvements with
substantial inventory reductions because of the development of standard
radio modules and platforms.
Possible benefits extend beyond these to include continuous self
health monitoring. It is feasible for a device to determine its own
degree of impairment and report it to the user. A radio could even
repair itself or upgrade its own operatin.
With a comprehensive self-test capability, if a radio has once been
proven to comply with one or more protocols, it should be possible to
contiuously confirm compliance. Further, similar to the error codes
provided by your car's engine control unit, the Sandbridge and
BitWave devices have sufficient intellignce to minimize troubleshooting
should it be necessary.
Summary
Although there are obvious commericial advantages to many of the
nine points listed, BitWave stated the situation clearly:
"Commercial application of these new architectures will depend on
the 'business value' they provide. Once deployed into a
network and as the earrier requirements for multimode devices become
more demanding, the value that these new architectures offer throughout
the value chain will steadily increase." (4)
It's easy to focus on the technical innovation that underpins
new SDR products, but the real reason they will succeed is that they
satisfy commercial power, performance, and cost requirements. Of the
three companies, Sandbridge, BitWave, and Vanu, only Vanu has publicly
announced a few customer applications.
One of these was a demonstration of a 700-MHz prototype Femtocell
that combined Vanu's Anywave SDR technology and BitWave's
Softranseeiver RFIC. Another announcement described how Mid-Tex Celluar,
a rural central Texas cellular operator, is using the Anywave
infrastructure to simultaneously provide CDMA and GSM service.
However, given the interest BitWave and Sandbridge also have
generated in the industry, actual SDR implementations using the
companies' products are expected soon.
References
(1). Nimmer, J., et al., "Continuous Automated Testing of SDR
Software," Vanu, 2006.
(2). Raja, T. and Glossner, J., "Trends in Low Power Handset
Software Defined Radios," Sandbridge Technologies, 2006.
(3). Glossner, J., et al., "The Sandbridge Sandblaster R
Convergence Platform," Sandbridge Technologies.
(4). Org, E., et al., "Software Defined Radio Architectures
for Mobile Commericial Applications," BitWave Semiconductor.
FOR MORE INFORMATION Enter www.rsleads.com/806ee-XXX
BitWave Semiconductor BW1102 Softranceiver 183
Sandbridge Technologies SB3000 DSP 184
Vanu Anywave Base Station Subsystem 185
by Tom Lecklider, Senior Technical Editor
COPYRIGHT 2008 Nelson
Publishing Reproduced with permission of the copyright holder. Further reproduction or distribution is prohibited without permission.
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