Liu, M and Mao, Y and Leng, S and Yang, K (2017) Successive interference cancellation in full duplex cellular networks. In: IEEE International Conference on Communications (ICC), 2017, 2017-05-21 - 2017-05-25, Paris.
Liu, M and Mao, Y and Leng, S and Yang, K (2017) Successive interference cancellation in full duplex cellular networks. In: IEEE International Conference on Communications (ICC), 2017, 2017-05-21 - 2017-05-25, Paris.
Liu, M and Mao, Y and Leng, S and Yang, K (2017) Successive interference cancellation in full duplex cellular networks. In: IEEE International Conference on Communications (ICC), 2017, 2017-05-21 - 2017-05-25, Paris.
Abstract
Through the self interference cancellation, the emerging full duplex (FD) technology possesses the potential to double the link capacity of wireless cellular networks. However, under the simultaneous uplink and downlink transmission in the same band, the co-channel interference (CCI) remains in FD cellular networks is becoming a prominent obstacle for FD performance improvement. In this paper, a novel co-channel interference cancellation (CCIC) scheme is proposed to improve the spectrum efficiency by cancelling CCI in FD cellular networks. Based on the CCIC scheme, the upper bound of the instantaneous end-to-end equivalent link capacity in a FD cellular network is derived. Then we provide a new closed-form expression for the general successful transmission probability that captures the joint effect of CCI and residual self-interference (RSI). The accurate match between simulation and theoretical results can verify the derivation. Besides, the obtained results indicate that the successful transmission probability under CCIC scheme increases with the decline of the channel fading which significantly outperforms the conventional FD schemes.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: IEEE International Conference on Communications |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 21 Sep 2017 10:22 |
Last Modified: | 08 Nov 2024 01:07 |
URI: | http://repository.essex.ac.uk/id/eprint/20389 |