Journal ArticleDOI
Sensing in cognitive radio channels: A theoretical perspective
Lionel Gueguen,Berna Sayrac +1 more
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TLDR
The effects of sensing is modeled as a compression channel, which results in partial knowledge of the primary messages at the cognitive transmitter, which enables to impose constraints on the sensing strategy.Abstract:
The cognitive radio paradigm is based on the ability of sensing the radio environment in order to make informed decisions. This paper describes the effects of sensing on the cognitive radio channels capacity region. Sensing is modeled as a compression channel, which results in partial knowledge of the primary messages at the cognitive transmitter. This model enables to impose constraints on the sensing strategy. First, the dirty paper channel capacity is derived when the channel encoder knows partially the side information. Then, the capacity area of the Gaussian cognitive channel with partial information is derived. Finally, numerical results illustrate the capacity reduction associated with constrained sensing, in comparison to the capacity of the cognitive radio channel.read more
Citations
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Journal ArticleDOI
Information Theoretic Exemplification of the Receiver Re-cognition and a More General Version for the Costa Theorem
TL;DR: A capacity theorem based on the Gaussian version of the Cover-Chiang capacity theorem for two-sided state information channel is derived that shows the impact of the correlation between the channel input and the side information known at the transmitter on the channel capacity.
Posted Content
Achievable Rate Regions for the Dirty Multiple Access Channel with Partial Side Information at the Transmitters
TL;DR: In this paper, the authors established achievable rate regions for the multiple access channel (MAC) with side information partially known (estimated or sensed version) at the transmitters, and showed that the sensed or estimated side information reduces the rate regions, the same as that occurs for Costa Gaussian channel.
Journal ArticleDOI
Capacity for the doubly dirty multiple access channel with partial side information at the transmitters
TL;DR: This study establishes achievable rate and capacity regions for three kinds of Gaussian multiple access channels (MACs) with side information (SI) partially (estimated or sensed version) and non-causally known at the transmitters and shows that the lattice strategy is optimal.
Journal ArticleDOI
Gaussian doubly dirty compound multiple-access channel with partial side information at the transmitters
TL;DR: The authors study a two-user Gaussian doubly dirty compound multiple-access channel with partial side information (GDD-CMAC-PSI) where two independent additive interference signals are considered and show that in contrast with Costa's strategy, lattice-strategies can achieve positive rates.
Journal ArticleDOI
Achievable rate regions for a three-user multiple access channel with partial side information
TL;DR: It is shown that positive rates independent of the interferences can be achieved by lattice strategies in some cases—which depend on the noise variance and power constraints—lattice strategies are optimal, in particular in the high signal‐to‐noise ratio (SNR) regime.
References
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Compressive Sensing [Lecture Notes]
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Cooperative strategies and capacity theorems for relay networks
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Journal Article
Vector quantization
TL;DR: During the past few years several design algorithms have been developed for a variety of vector quantizers and the performance of these codes has been studied for speech waveforms, speech linear predictive parameter vectors, images, and several simulated random processes.