An Intelligent Physical Layer For Cognitive Radio Networks

Dutta, Aveek; Fifield, Jeffrey; Schelle, Graham; Grunwald, Dirk; Sicker, Douglas

doi:10.4108/icst.wicon2008.4984

Cited by 12 publications

(12 citation statements)

References 7 publications

(12 reference statements)

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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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“…The interconnection of these components or the architecture is left to domain experts. We choose the dataflow represented in prior implementations of 802.11a/g in [6,4]. Table 5 and Table 6 shows the hardware utilization for transmitter and receiver respectively on a Virtex V (LX110) FPGA.…”

Section: Composing Radio Subsystemsmentioning

confidence: 99%

Codiphy

Dutta

Saha

Grunwald

et al. 2013

Proceedings of the Second Workshop on Software Radio Implementation Forum

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In this paper we present CODIPHY or Composing On-Demand Intelligent Physical Layers that aims to solve two fundamental problems in practical cognitive radio networks: Collaboration between two radio physical layers (PHY) with varying capabilities to agree on a common communication protocol and provide a method to compose a functioning software defined radio (SDR) from a set of pre-compiled libraries. Both solutions use an ontology based description of the internal structure of the radio subsystems and use the high-level dataflow represented by the ontology to target heterogeneous platforms. CODIPHY isolates the various domains of radio engineering but still allows them to share domain knowledge to achieve a common goal of radio adaptation. Automating this process through declarative specification and collaborative learning is the goal of this paper. We present a generic methodology to facilitate the concept of CODIPHY and present examples from the radio PHY domain.

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“…Since, this abstraction layer is not available to us from commodity hardware, we implemented this technique using a hybrid software defined radio (SDR) based on a Virtex-5 FPGA ( Figure 5) that can transmit and receive generic 802.11a/g data packets [3]. This prototype is based on previous work [4], [5], and gives access to the packetization layer of the MAC where the data bits from two users are combined to form a symbol in the I/Q plane. This is accomplished by the bit mapper unit shown in 3(a).…”

Section: Implementing Gratismentioning

confidence: 99%

GRaTIS: Sensing and Intelligence for Performance in The Presence of Legacy Networks

Saha¹,

Dutta²,

Grunwald³

et al. 2012

Proceedings of the 7th International Conference on Cognitive Radio Oriented Wireless Networks

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Recent work has examined techniques to estimate the "best" modulation rate for data networks such as OFDMbased 802.11a/g. Each rate is effective in a range of signal-tonoise ratios (SNRs) but the limited number of practical rates often force the transmitter to "step down" to a lower data rate despite having higher SNR to the receiver. In this paper we describe, evaluate and implement a practical multiuser communication scheme that transmits 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. This method uses SNR sensing and knowledge about the network to achieve improved performance in the presence of legacy network members.

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An Intelligent Physical Layer For Cognitive Radio Networks

Cited by 12 publications

References 7 publications

GRaTIS: Free Bits in the Network

GRaTIS: Free Bits in the Network

Codiphy

GRaTIS: Sensing and Intelligence for Performance in The Presence of Legacy Networks

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