Opportunistic Interference Cancellation in Cognitive Radio Systems

Popovski, Petar; Yomo, Hiroyuki; Nishimori, Kentaro; Taranto, Rocco Di; Prasad, Ramjee

doi:10.1109/dyspan.2007.68

Cited by 61 publications

(56 citation statements)

References 3 publications

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“…In opportunistic interference cancellation, as first outlined in [9] the cognitive receiver opportunistically decodes the primary user's message, which it then subtracts off its received signal. This intuitively cleans up the channel for the cognitive pair's own transmission.…”

Section: Opportunistic Interference Cancellationmentioning

confidence: 99%

Cognitive radio networks

Devroye

Vu²,

Tarokh

2008

IEEE Signal Process. Mag.

228

113

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Section: Opportunistic Interference Cancellationmentioning

confidence: 99%

Cognitive radio networks

Devroye

Vu²,

Tarokh

2008

IEEE Signal Process. Mag.

228

113

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“…Nevertheless, the SU also transmits through the used eigenmodes but respecting an interference constraint tolerated by the PU. At the destination, the PU and the SU signals are decoded using a Successive Interference Cancellation (SIC) decoder [14].…”

Section: Introductionmentioning

confidence: 99%

Achievable Rate of Multi-relay Cognitive Radio MIMO Channel with Space Alignment

Sboui

Ghazzai

Rezki

et al. 2015

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract-We study the impact of multiple relays on the primary user (PU) and secondary user (SU) rates of underlay MIMO cognitive radio. Both users exploit amplify-and-forward relays to communicate with the destination. A space alignment technique and a special linear precoding and decoding scheme are applied to allow the SU to use the resulting free eigenmodes. In addition, the SU can communicate over the used eigenmodes under the condition of respecting an interference constraint tolerated by the PU. At the destination, a successive interference cancellation (SIC) is performed to estimate the secondary signal. We present the explicit expressions of the optimal PU and SU powers that maximize their achievable rates. In the numerical results, we show that our scheme provides cognitive rate gain even in absence of tolerated interference. In addition, we show that increasing the number of relays enhances the PU and SU rates at low power regime and/or when the relays power is sufficiently high.Index Terms-Underlay cognitive radio, MIMO space alignment, amplify-and-forward multiple-relay.

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“…The introduced network model of a MAC primary network shared by secondary operations has been addressed in some resource allocation frameworks without rate splitting by secondary users [12][13][14][15][16]. Rate splitting by a secondary link, however, has been introduced in [17] where the secondary user is assumed to know the codebook of a primary transmitter and opportunistically splits its rate into two parts and decodes it in the following way. It decodes the first part treating both the primary signal and the second part as noise, decodes and cancels the primary signal, and then decodes the second part.…”

Section: Introductionmentioning

confidence: 99%

On the achievable rates of a secondary link coexisting with a primary multiple access network

Tadrous

Nafie

2014

J Wireless Com Network

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An achievable rate region for a primary multiple access network coexisting with a secondary link of one transmitter and a corresponding receiver is analyzed. The rate region depicts the sum primary rate versus the secondary rate and is established assuming that the secondary link performs rate splitting. The achievable rate region is the union of two types of rate regions. The first type is a rate region established assuming that the secondary receiver cannot decode any primary signal, whereas the second is established assuming that the secondary receiver can decode the signal of one primary link. The achievable rate region is determined first assuming discrete memoryless channel (DMC), then the results are applied to a Gaussian channel. In the Gaussian channel, the performance of rate splitting is characterized for the two types of rate regions. Moreover, a necessary and sufficient condition to determine which primary signal the secondary receiver can decode without degrading the range of primary achievable sum rates is provided. When this condition is satisfied by a certain primary user, the secondary receiver can decode its signal and achieve larger rates without reducing the sum of the primary achievable rates as compared to the case in which it does not decode any primary signal. It is also shown that the probability of having at least one primary user satisfying this condition grows with the primary signal-to-noise ratio.

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Opportunistic Interference Cancellation in Cognitive Radio Systems

Cited by 61 publications

References 3 publications

Cognitive radio networks

Cognitive radio networks

Achievable Rate of Multi-relay Cognitive Radio MIMO Channel with Space Alignment

On the achievable rates of a secondary link coexisting with a primary multiple access network

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