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Energy‐efficient outage‐constrained power allocation based on statistical channel knowledge for dual‐hop cognitive relay networks
Author(s) -
Bordón Raikel,
Sánchez Samuel Montejo,
Mafra Samuel Baraldi,
Garcia Fernandez Evelio Martin,
Souza Richard Demo,
Rebelatto João Luiz
Publication year - 2017
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2965
Subject(s) - computer science , rayleigh fading , relay , channel state information , cognitive radio , channel (broadcasting) , transmitter power output , interference (communication) , constraint (computer aided design) , hop (telecommunications) , power (physics) , computer network , mathematical optimization , telecommunications , fading , wireless , transmitter , mathematics , physics , geometry , quantum mechanics
Summary This paper investigates the power allocation problem in decode‐and‐forward cognitive dual‐hop systems over Rayleigh fading channels. In order to optimize the performance of the secondary network in terms of power consumption, an outage‐constrained power allocation scheme is proposed. The secondary nodes adjust their transmit power subject to an average interference constraint at the primary receiver and an outage probability constraint for the secondary receivers while having only statistical channel knowledge with respect to the primary nodes. We compare this approach with a power allocation scheme based on instantaneous channel state information under a peak interference constraint. Analytical and numerical results show that the proposed approach, without requiring the constant interchange of channel state information, can achieve a similar performance in terms of outage probability as that of power allocation based on instantaneous channel knowledge. Moreover, the transmit power allocated by the proposed approach is considerably smaller than the power allocated by the method based on instantaneous channel knowledge in more than 50% of the time. Copyright © 2015 John Wiley & Sons, Ltd.