Interference Mitigation through Successive Cancellation in Heterogeneous NetworksReport as inadecuate

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ISRN Communications and NetworkingVolume 2013 2013, Article ID 146024, 18 pages

Research ArticleInterDigital Communications Inc., 4th Floor, 2 Huntington Quadrangle, South Wing, Melville, NY 11747, USA

Received 30 November 2012; Accepted 2 January 2013

Academic Editors: D. Cassioli, C. Pomalaza-Ráez, and K. Teh

Copyright © 2013 Onur Sahin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We present a practical interference management scheme for heterogeneous networks HetNets. The underlying ideas are based on i Han-Kobayashi-type message splitting MS where the receivers decode and cancel -part- of the interference which is accordingly optimized by the transmitters to ensure decoding and ii opportunistic interference cancellation OIC where the interfering transmitters act independently of the receivers that employ interference cancellation. We develop a novel transmission and reception scheme, called joint MS and OIC MS-OIC, that engages both MS and OIC to account for a practical HetNet system with multiple macrocells and femtocells. The MS component includes a precoder design that judiciously maximizes the weighted sum throughput via the enabling of interference cancellation. A system design along with a novel scheduler that facilitates MS-OIC in a general HetNet system is also developed. System level simulations for a general HetNet system are presented, and the proposed MS-OIC scheme is compared with benchmark schemes such as Coordinated Beamforming CBF and joint CBF and Almost Blank Subframes CBF-ABS. It is observed that the proposed MS-OIC scheme improves the macrocell throughput substantially, balances the achievable rates between the macrocell and femtocell users, and provides significant outage performance improvement in the system.

Author: Onur Sahin, Jialing Li, Enoch Lu, Yingxue Li, and Philip J. Pietraski



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