An architecture for software defined cognitive radio

Dutta, Aveek; Saha, Dola; Grunwald, Dirk; Sicker, Douglas

doi:10.1145/1872007.1872014

Cited by 18 publications

(14 citation statements)

References 23 publications

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“…Since, this abstraction layer is not available to us from commodity hardware, we implemented this technique using a prototype hardware based on previous work [10], [7], [9], as shown in figure 7. The prototype uses a hybrid software defined radio (SDR) based on a Virtex-5 FPGA that can transmit and receive generic 802.11a/g data packets [17].…”

Section: Implementing Gratismentioning

confidence: 99%

GRaTIS: Free Bits in the Network

Saha

Dutta

Grunwald

et al. 2015

IEEE Trans. on Mobile Comput.

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Abstract-Recent work has examined techniques to estimate the "best" modulation rate for data networks such as 802.11a/g. While accurate rate estimation yields better rate-selection decisions and increased throughput, those methods must still choose between a handful of modulation rates. Each modulation rate is effective in a range of actual signal-to-noise ratios (SNRs) but the limited number of practical rates means that transmitters are often forced to "step down" to a lower data rate despite having a higher SNR than the minimum required for that lower rate. In this paper we describe, evaluate and implement a practical multiuser communication scheme that exploits these discrete "steps" in modulation rates to transmit two packets in the time normally needed to transmit a single packet, increasing aggregate throughput precisely when it is most needed -when the network is busy and suffers from rate unfairness. Because the method transmits a group of packets simultaneously, we call this scheme Group Rate Transmission with Intertwined Symbols, or GRaTIS. In addition to up to 120% improvement in network throughput achieved by GRaTIS, the technique is backward compatible with 802.11 and doesn't require complex DSP algorithms as required by competing methods.

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Section: Implementing Gratismentioning

confidence: 99%

GRaTIS: Free Bits in the Network

Saha

Dutta

Grunwald

et al. 2015

IEEE Trans. on Mobile Comput.

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“…In [7], the authors claim that SDN can make cellular networks much simpler and easier to manage. The first integration between SDN and CRN was presented in [18]. Neither virtualization was used nor resource allocation algorithm was proposed in [18].…”

Section: Related Workmentioning

confidence: 99%

SD-CRN: Software Defined Cognitive Radio Network Framework

Jararweh

Ayyoub

Doulat

et al. 2014

2014 IEEE International Conference on Cloud Engineering

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Software defined networking (SDN) provides a novel network resource management framework that overcomes several challenges related to network resources management. On the other hand, Cognitive Radio (CR) technology is a promising paradigm for addressing the spectrum scarcity problem through efficient dynamic spectrum access (DSA). CR provides unlicensed secondary users with the ability to coexist with licensed users in non-interfering mode. In this paper, we introduce a virtualization based SDN resource management framework for cognitive radio networks (CRNs). The framework uses the concept of multilayer hypervisors for efficient resources allocation. It also introduces a semidecentralized control scheme that allows the CRN base station (BS) to delegate some of the management responsibilities to the network users. CRN resource virtualization allows dynamic, infrastructure free and efficient resources allocation to the CR users. The main objectives of the proposed framework is to reduce the CR users' reliance on the CRN BS and physical network resources while improving the network performance by reducing control overhead.

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“…Researchers have developed platforms supporting OFDMbased standards, including the Wireless Open-Access Research Platform (WARP) [1], AirBlue [11], and Software-defined Cognitive Radio (SDCR) [7]. Though quite useful as a research platform, WARP supports the 802.11a/g standards whereas our architecture can be easily configured and flexible over a larger number of standards and variations within specific standards because of its standard independence at the modular level .…”

Section: Related Work and Researchmentioning

confidence: 99%

“…Our full implementation has all the relevant blocks needed to realize OFDM-based schemes, including channel estimation, carrier frequency offset, cyclic prefix, and packet detection blocks. The closest system to the one described in this paper, to our knowledge, is SDCR [7] which implements a baseband architecture on a smaller scale with the aim of building cognitive radio using dedicated hardware for the computationally intensive communication cores. Our system is another approach to defining a flexible radio where the hardware itself has room for flexibility through a software/data driven interface and therefore enabling research involving prototyping directly to hardware.…”

Section: Introductionmentioning

confidence: 99%

FPGA-based latency-insensitive OFDM pipeline for wireless research

Chacko

Şahin

Nguyen

et al. 2014

2014 IEEE High Performance Extreme Computing Conference (HPEC)

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This paper develops a programmable hardware implementation of the physical layer for cognitive wireless communication systems that use orthogonal frequency division multiplexing (OFDM) schemes. Data-flows within hardware implemented baseband architectures for all communication standards are quite regular in nature, thereby enabling the construction of fast, synchronized and optimized baseband systems on FPGAs. We designed an OFDM pipeline comprising codec, modulation, interleaving, piloting, channel estimation, and IFFT stages in which each stage can be configured at design time or at run time to accommodate different communication standards as well as different configuration settings for a single standard-a key feature necessary for dynamic spectrum sensing and utilization. This flexibility in hardware is achieved by designing each individual stage with room for scaling/modification and having the overall pipeline be insensitive to the latencies incurred by individual pipeline stages. This is done by using stallable stages with centralized control through cross communication between modules both directly and indirectly using code running on the MicroBlaze processor. The OFDM pipeline is implemented on a Xilinx Virtex-6 FPGA and its performance is characterized in terms of functional correctness and FPGA implementation area cost. Experimental results and preliminary simulations of our FPGA based design can run at flexible coding rates of 1/2 and 3/4 with modulation schemes of 4QAM and 16QAM respectively.

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An architecture for software defined cognitive radio

Cited by 18 publications

References 23 publications

GRaTIS: Free Bits in the Network

GRaTIS: Free Bits in the Network

SD-CRN: Software Defined Cognitive Radio Network Framework

FPGA-based latency-insensitive OFDM pipeline for wireless research

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