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This paper characterizes achievable rate regions for the Gaussian partially cognitive interference channel with multiple cognitive pairs ( $K$-PCIFC), where the cognitive transmitters know one part of the primary transmitter's message. We explore a novel methodology using the deterministic discrete superposition model (DSM). We find codes and their achievable rate regions in the DSM, and we show...
This work considers a network with K transmitters and receivers, where the transmit-receive association is not predetermined. It is thus an interference network where the pairing between transmitters and receivers can be optimized to improve performance. This model is designed to represent a cellular system where each transmitter (mobile) is attempting to determine the best receiver (base-station)...
This paper studies the K > 2 user cognitive radio network. In this paper, there are one licensed transmit-receive pair and K - 1 cognitive transmit-receive pairs wishing to communicate simultaneously. For the case of a class of ??very strong?? interference channels, this paper shows that all users can simultaneously communicate as if all cross-channels in the interference network were absent.
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