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Published in: The Journal of Supercomputing 4/2019

10-09-2018

Distributed interference alignment algorithm in downlink multi-user cooperative networks

Authors: Yongli An, Ruihua Sun, Xinwen Wu, Xiaochuan Sun

Published in: The Journal of Supercomputing | Issue 4/2019

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Abstract

In multi-user cooperative cognitive network, the primary user and cognitive user can not share the same spectrum band simultaneously, which leads to low spectrum utilization. Based on this fact, a distributed interference alignment algorithm based on a relay is proposed. This algorithm considers cognitive user as a relay, which means it transmits both its own transmitting signal and the primary user’s transmitting signal. At receivers, they can separate their desired signals without interference. The primary link does not need to perceive the existence of cognitive link. The proposed algorithm makes the complexity of pre-coding low. Its process of pre-coding is implemented by the relay. In addition, analysis and simulation results show that the channel capacities of primary and cognitive link are all improved compared with those of traditional algorithms in both strong and weak correlation channel conditions.

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Metadata
Title
Distributed interference alignment algorithm in downlink multi-user cooperative networks
Authors
Yongli An
Ruihua Sun
Xinwen Wu
Xiaochuan Sun
Publication date
10-09-2018
Publisher
Springer US
Published in
The Journal of Supercomputing / Issue 4/2019
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-018-2580-6

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