Capacity of a Class of Cognitive Radio Channels: Interference Channels With Degraded Message Sets

Wu, Wei; Vishwanath, Sriram; Arapostathis, Ari

doi:10.1109/tit.2007.907436

Cited by 197 publications

(271 citation statements)

References 20 publications

Supporting

Mentioning

265

Contrasting

Order By: Relevance

“…Their result holds for the so called low interference regime when the received SNR of the CR transmission is lesser at the primary receiver (i.e., interference from CR to PU) than at the CR receiver. The authors in [9] also arrived at the same results in their parallel but independent work.…”

Section: Introductionsupporting

confidence: 54%

On the statistics of cognitive radio capacity in shadowing and fast fading environments

Hanif

Smith

2010

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Abstract-In this paper we consider the capacity of the cognitive radio (CR) channel in a fading environment under a "low interference regime". This capacity depends critically on a power loss parameter, α, which governs how much transmit power the CR dedicates to relaying the primary message. We derive a simple, accurate approximation to α which gives considerable insight into system capacity. We also investigate the effects of system parameters and propagation environment on α and the CR capacity. In all cases, the use of the approximation is shown to be extremely accurate. Finally, we derive the probability that the "low interference regime" holds and demonstrate that this is the dominant case, especially in practical CR deployment scenarios.

show abstract

Section: Introductionsupporting

confidence: 54%

On the statistics of cognitive radio capacity in shadowing and fast fading environments

Hanif

Smith

2010

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…Since then, a flurry of results, including capacity results in specific scenarios, of this channel have been obtained. When the interference to the primary user is weak (h 21 < 1), rate region (d) has been shown to be the capacity region in Gaussian noise [18] and in related discrete memoryless channels [19]. In channels where interference at both receivers is strong both receivers may decode and cancel out the interference, or where the cognitive decoder wishes to decode both messages, capacity is known [12], [20].…”

Section: Cognitive Transmission (Using Asymmetric Transmitter Side Inmentioning

confidence: 99%

Cognitive radio networks

Devroye

Vu²,

Tarokh

2008

IEEE Signal Process. Mag.

231

113

View full text Add to dashboard Cite

show abstract

“…Later Wu et. al in [3], and independently Jovicic et. al in [4], characterized the capacity region of the "very weak interference" regime.…”

Section: Encoder 2ŵmentioning

confidence: 85%

“…Yet, the proof of the resulting capacity region presents a major difficulty in the converse part. Indeed, the multicast nature of the transmission prevents from resorting to Csiszár & Körner's identity that was originally used in [4], [3]. To this end, an alternative proof of converse is required herein.…”

Section: B Capacity Region Of the Multi-primary Cifc In The Very Weamentioning

confidence: 99%

Capacity results for the Multicast Cognitive Interference Channel

Benammar

Piantanida

Shamai

2015

2015 IEEE Information Theory Workshop (ITW)

View full text Add to dashboard Cite

The capacity region of the Multicast Cognitive Interference Channel (CIFC) is investigated. This channel consists of two independent transmitters that wish to multicast two different messages, each of them to a different set of users. In addition, one of the transmitters -commonly referred to as the cognitive transmitter-has prior non-causal knowledge of both messages to be transmitted. This scenario combines difficulties and challenges arising in the Interference Channel, the Broadcast Channel and multicasting communications. Our aim concerns the derivation of optimal interference mitigation techniques in such a challenging communication setup. We investigate to this end the multi-primary CIFC and its dual multi-secondary CIFC under various interference regimes as an attempt to build a thorough understanding for the more general setting. It is shown that, for some regimes, well-known coding techniques for the conventional CIFC remain still optimal in the presence of multicasting. While in other regimes, evolved encoding and/or decoding strategies are crucial. A careful use of these coding schemes and new outer bounding techniques allows us to characterize the capacity region for several classes of discrete memoryless and Gaussian channels in different interference regimes. Index TermsThe material in this paper was partially published in the IEEE Information

show abstract

Capacity of a Class of Cognitive Radio Channels: Interference Channels With Degraded Message Sets

Cited by 197 publications

References 20 publications

On the statistics of cognitive radio capacity in shadowing and fast fading environments

On the statistics of cognitive radio capacity in shadowing and fast fading environments

Cognitive radio networks

Capacity results for the Multicast Cognitive Interference Channel

Contact Info

Product

Resources

About