Dynamic Interference Steering in Heterogeneous Cellular Networks

@article{Li2018DynamicIS,
  title={Dynamic Interference Steering in Heterogeneous Cellular Networks},
  author={Z. Li and Fengjuan Guo and Chenchen Shu and Kang G. Shin and Jianlan Liu},
  journal={IEEE Access},
  year={2018},
  volume={6},
  pages={28552-28562}
}
  • Z. Li, F. Guo, +2 authors J. Liu
  • Published 30 December 2017
  • Computer Science, Mathematics
  • IEEE Access
With the development of diverse wireless communication technologies, interference has become a key impediment in network performance, thus making effective interference management (IM) essential to accommodate a rapidly increasing number of subscribers with diverse services. Although there have been numerous IM schemes proposed thus far, none of them are free of some form of cost. It is, therefore, important to balance the benefit brought by and cost of each adopted IM scheme by adapting its… 
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The theoretical analysis and in-depth simulation results have shown that the proposed IS schemes can effectively manage multiple interference via better utilizing the DoF and transmit power and is shown to be advantageous in both power cost and DoF consumption.
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In-depth simulation results show that compared to existing IM methods, SPAIS can significantly improve the users’ SE performance and make full use of the power of the steering signal, thus enhancing desired data transmission.
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The proposed Inside-Out Precoding (IOP) can effectively manage multiple interferences from the same source while guaranteeing the performance of transmission from the interfering Tx to its intended Rx and a protocol to realize the synchronization of processing parameters at the interference Tx and its intended RX so that the Rx can adapt itself to the precoding strategy employed at the Tx side.
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When and how much to neutralize interference? Balancing the benefits and cost of interference management
TLDR
In-depth analysis and simulation have shown that the proposed dynamic interference neutralization (DIN) strategy can make better use of the transmit power than existing IM methods, hence enhancing users’ SE.
A Reinforcement Learning Approach for Interference Management in Heterogeneous Wireless Networks
Due to the increased demand for scarce wireless bandwidth, it has become insufficient to serve the network user equipment using macrocell base stations only. Network densification through the
Interference Steering to Manage Interference in IoT
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This work proposes a novel IM technique, called interference steering (IS), which generates a signal to modify the spatial feature of the original interference, so that the steered interference at the interfered receiver is orthogonal to its intended signal.
Taichi: Signal Dodging and Interference Guiding to Enhance Data Transmission
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In-depth analysis and simulation have shown that with the proposed scheme, the spatial domain communication resource of the interfered transmission-pair can be properly and efficiently utilized, thus both the interfered user's and the system’s spectral efficiency can be significantly improved.

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