Exploiting wireless interference in heterogeneous networks

In this work, the possibility of interference exploitation (IE) in heterogeneous networks is investigated. Based on the shared channel state information (CSI) and the transmitted data among the coordinated heterogeneous base stations (BS)s, we first formulate an IE-based coordinated multi-point (CoMP) scheme, which is able to utilize inter-cell interference as well as multiuser interference as constructive elements. Considering the effect of imperfect CSI at the BSs, we then minimize the transmission power consumption subject to users' statistical signal-to-interference-and-noise ratio (SINR) requirements. Simulation verifies that the proposed IE-based heterogeneous CoMP scheme significantly outperforms the benchmarks in terms of low power consumption..

[1]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[2]  Tuan Anh Le,et al.  Chance Constrained Robust Downlink Beamforming in Multicell Networks , 2016, IEEE Transactions on Mobile Computing.

[3]  Qingqing Wu,et al.  Joint Optimization of User Association, Subchannel Allocation, and Power Allocation in Multi-Cell Multi-Association OFDMA Heterogeneous Networks , 2017, IEEE Transactions on Communications.

[4]  Fan Liu,et al.  Energy- and Cost-Efficient Physical Layer Security in the Era of IoT: The Role of Interference , 2020, IEEE Communications Magazine.

[5]  Satoshi Nagata,et al.  Coordinated multipoint transmission and reception in LTE-advanced: deployment scenarios and operational challenges , 2012, IEEE Communications Magazine.

[6]  Dong In Kim,et al.  Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks , 2017, IEEE Transactions on Communications.

[7]  Christos Masouros,et al.  A Novel Transmitter-Based Selective-Precoding Technique for DS/CDMA Systems , 2007, 2007 IEEE International Conference on Communications.

[8]  Christos Masouros,et al.  Multi-Cell Interference Exploitation: Enhancing the Power Efficiency in Cell Coordination , 2020, IEEE Transactions on Wireless Communications.

[9]  Christos Masouros,et al.  Correlation Rotation Linear Precoding for MIMO Broadcast Communications , 2011, IEEE Transactions on Signal Processing.

[10]  Mathini Sellathurai,et al.  Vector Perturbation Based on Symbol Scaling for Limited Feedback MISO Downlinks , 2014, IEEE Transactions on Signal Processing.

[11]  Christos Masouros,et al.  Device-Centric Distributed Antenna Transmission: Secure Precoding and Antenna Selection With Interference Exploitation , 2018, IEEE Internet of Things Journal.

[12]  Sumei Sun,et al.  Energy-Efficient Hybrid Duplexing Strategy for Bidirectional Distributed Antenna Systems , 2018, IEEE Transactions on Vehicular Technology.

[13]  Tharmalingam Ratnarajah,et al.  Known interference in the cellular downlink: a performance limiting factor or a source of green signal power? , 2013, IEEE Communications Magazine.

[14]  Mohammad Reza Nakhai,et al.  Robust Distributed Beamforming With Interference Coordination in Downlink Cellular Networks , 2014, IEEE Transactions on Communications.