On the capacity of the cognitive interference channel with a common cognitive message

Abstract

In this paper the cognitive interference channel with a common message, a variation of the classical cognitive interference channel in which the cognitive message is decoded at both receivers, is studied. For this channel model new outer and inner bounds are developed as well as new capacity results for both the discrete memoryless and the Gaussian case. The outer bounds are derived using bounding techniques originally developed by Sato for the classical interference channel and Nair and El Gamal for the broadcast channel. A general inner bound is obtained combining rate-splitting, superposition coding and binning. Inner and outer bounds are shown to coincide in the "very strong interference" and the "primary decodes cognitive" regimes. The first regime consists of channels in which there is no loss of optimality in having both receivers decode both messages while in the latter regime interference pre-cancellation at the cognitive receiver achieves capacity. Capacity for the Gaussian channel is shown to within a constant additive gap and a constant multiplicative factor.

On the capacity of the state‐dependent interference relay channel

“…In this case, we have r ′ 5 = 0 and r ′ 6 = 0 and r ′ 7 = r ′ 8 of the secondary receiver. We note that (a) the achievable rate region (the capacity) in (7), for the case of strong interference regime, and (b) the achievable rate region in (12), for the case of strong interference at only the primary destination, are equivalent. In particular, the decoding scheme and the achievable rate at the primary destination in the two cases are similar.…”

“…In another encoding scheme, cognitive IC with transmitters cooperation were studied. [6][7][8] For example, a unidirectional cognitive link between the two transmitters is assumed. Then, the informed sender exploits interference cancellation scheme such as Gelfand and Pinsker (GP) technique to remove the effect of the other user's transmission at its receiver.…”

Delay analysis for cognitive radio networks

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Outage probability analysis of optimal and suboptimal interference aware routing protocols for multihop underlay cognitive radio networks

“…Cognitive radio has been recently proposed as a potential enabler to use efficiently the radio spectrum. Its idea is based on the dynamic spectrum access that allow unlicensed secondary users to access the spectrum opportunistically without adversely affecting the transmission performance of the license holders, called primary users. To share the spectrum in an opportunistic manner, two approaches have been proposed, namely underlay and overlay.…”