USC SDR, an easy-to-program, high data rate, real time software radio platform

Bălan, Horia; Segura, Marcelo; Deora, Suvil; Michaloliakos, Antonios; Rogalin, Ryan; Psounis, Konstantinos; Caire, Giuseppe

doi:10.1145/2491246.2491254

Cited by 13 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Efficient implementations are already available across a large range of SDR platforms 6. We observe very similar results on a laptop with an Intel i7.…”

supporting

confidence: 68%

“…High data rates (24-54 Mbps) involve amplitude modulation (16QAM and 64QAM) and require a more accurate implementation of an automatic gain control algorithm, which is currently provided neither in Sora nor in Ziria. We therefore experiment with the four lowest data rates (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18). For each of these rates we send a sequence of packets encoded at the selected rate at a constant pace.…”

Section: Wifi Performancementioning

confidence: 99%

“…SDR platforms have traditionally been FPGA- [29,33,35] and DSP-based [43,49]. More recently, CPU-based platforms [6,23,34,45,50] have gained popularity, in particular due to widespread use of USRP radios and GNU Radio [12,50]. Similarly, there are numerous programming platforms and approaches for SDRs [7,12,13,19,30,35,36,42,48,52].…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Ziria

Stewart

Gowda

Mainland

et al. 2015

Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems

View full text Add to dashboard Cite

Software-defined radio (SDR) brings the flexibility of software to wireless protocol design, promising an ideal platform for innovation and rapid protocol deployment. However, implementing modern wireless protocols on existing SDR platforms often requires careful hand-tuning of low-level code, which can undermine the advantages of software.Ziria is a new domain-specific language (DSL) that offers programming abstractions suitable for wireless physical (PHY) layer tasks while emphasizing the pipeline reconfiguration aspects of PHY programming. The Ziria compiler implements a rich set of specialized optimizations, such as lookup table generation and pipeline fusion. We also offer a novel -due to pipeline reconfiguration -algorithm to optimize the data widths of computations in Ziria pipelines. We demonstrate the programming flexibility of Ziria and the performance of the generated code through a detailed evaluation of a line-rate Ziria WiFi 802.11a/g implementation that is on par and in many cases outperforms a hand-tuned state-of-the-art C++ implementation on commodity CPUs.

show abstract

“…Efficient implementations are already available across a large range of SDR platforms 6. We observe very similar results on a laptop with an Intel i7.…”

supporting

confidence: 68%

Section: Wifi Performancementioning

confidence: 99%

See 1 more Smart Citation

Ziria

Stewart

Gowda

Mainland

et al. 2015

Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems

View full text Add to dashboard Cite

show abstract

“…This platform has been used to build, among many other things, a full duplex IEEE 802.11 network with OFDM and a MAC protocol [16], and a distributed energy-conserving cooperation MAC protocol for MIMO performance improvements [17]. USC SDR presents a wireless platform to remove bottlenecks from current SDR architectures [18]. It combines Xilinx VC707 PCI FPGA development boards with self-sufficient radio front-end daughterboards to make a MIMO testbed, using the FPGA Mezzanine Card (FMC) connection.…”

Section: B Sdr On Heterogeneous Systemsmentioning

confidence: 99%

High-Level System Design of IEEE 802.11b Standard-Compliant Link Layer for MATLAB-Based SDR

et al. 2016

View full text Add to dashboard Cite

Software defined radio (SDR) allows unprecedented levels of flexibility by transitioning the radio communication system from a rigid hardware platform to a more user-controlled software paradigm. However, it can still be time consuming to design and implement such SDRs as they typically require thorough knowledge of the operating environment and a careful tuning of the program. In this work, our contribution is the design of a bidirectional transceiver that runs on the commonly used USRP ® platform and implemented in MATLAB ® using standard tools like MATLAB Coder ™ and MEX to speed up the processing steps. We outline strategies on how to create a state-action based design, wherein the same node switches between transmitter and receiver functions. Our design allows optimal selection of the parameters towards meeting the timing requirements set forth by various processing blocks associated with a DBPSK physical layer and CSMA/CA/ACK MAC layer so that all operations remain functionally compliant with the IEEE 802.11b standard for the 1 Mbps specification. The code base of the system is enabled through the Communications System Toolbox ™ and incorporates channel sensing and exponential random back-off for contention resolution. The current work provides an experimental testbed that enables creation of new MAC protocols starting from the fundamental IEEE 802.11b standard. Our design approach guarantees consistent performance of the bi-directional link, and the three node experimental results demonstrate the robustness of the system in mitigating packet collisions and enforcing fairness among nodes, making it a feasible framework in higher layer protocol design.

show abstract

“…The reader may refer to [18]- [21] where examples of testbed implementations of this novel architecture can be found. For this architecture, depending on the amount of available channel state information (CSI), receive-beamforming operations may be better performed centrally at the CP or distributively across RRUs.…”

Section: Introductionmentioning

confidence: 99%

In-network compression for multiterminal cascade MIMO systems

Aguerri

Zaidi

2017

2017 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

We study the problem of receive beamforming in uplink cascade multiple-input multiple-output (MIMO) systems as an instance of that of cascade multiterminal source coding for lossy function computation. Using this connection, we develop two coding schemes for the second and show that their application leads to beamforming schemes for the first. In the first coding scheme, each terminal in the cascade sends a description of the source that it observes; the decoder reconstructs all sources, lossily, and then computes an estimate of the desired function. This scheme improves upon standard routing in that every terminal only compresses the innovation of its source w.r.t. the descriptions that are sent by the previous terminals in the cascade. In the second scheme, the desired function is computed gradually in the cascade network, and each terminal sends a finer description of it. In the context of uplink cascade MIMO systems, the application of these two schemes leads to centralized receive-beamforming and distributed receive-beamforming, respectively. Numerical results illustrate the performance of the proposed methods and show that they outperform standard routing.

show abstract

USC SDR, an easy-to-program, high data rate, real time software radio platform

Cited by 13 publications

References 7 publications

Ziria

Ziria

High-Level System Design of IEEE 802.11b Standard-Compliant Link Layer for MATLAB-Based SDR

In-network compression for multiterminal cascade MIMO systems

Contact Info

Product

Resources

About