Clustering Priority-Based User-Centric Interference Mitigation Scheme in the Ultra Dense Network

Ultra-dense network (UDN) downlink interference is researched in this paper, where some neighboring base stations significantly interfere with objective user. This problem arises from increasing node deployment density in UDN. And serious interference generates from neighboring inter-cell. With respect to this problem, a novel clustering priority-based user-centric interference coordination scheme (CPUCIC) is presented, where performance gain can be attained with base station cooperation and interference nulling. Simulation results demonstrate that the proposed scheme can increase two following performance, signal interference plus noise ratio (SINR) and user bandwidth gain-to-loss ratio. However, system performance with CPUCIC scheme is increased at the cost of bandwidth.

[1]  Huarui Yin,et al.  Performance analysis of ultra dense network with linear reception and successive interference cancellation under limited backhaul , 2016, 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[2]  Gang Chuai,et al.  Clusteringfor coordinated zero-forcing beamformingin multi-user interference networks , 2016, 2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC).

[3]  Baoqing Li,et al.  A Joint Unsupervised Learning and Genetic Algorithm Approach for Topology Control in Energy-Efficient Ultra-Dense Wireless Sensor Networks , 2018, IEEE Communications Letters.

[4]  Meng Zhang,et al.  Interactive CoMP with User-Centric Clustering Based on Load Balancing in 5G Dense Networks , 2018, 2018 IEEE International Conference on Communications Workshops (ICC Workshops).

[5]  Antonis G. Gotsis,et al.  UltraDense Networks: The New Wireless Frontier for Enabling 5G Access , 2015, IEEE Vehicular Technology Magazine.

[6]  Jun Du,et al.  Contract Design for Traffic Offloading and Resource Allocation in Heterogeneous Ultra-Dense Networks , 2017, IEEE Journal on Selected Areas in Communications.

[7]  Lianfen Huang,et al.  Virtual cell interference alignment in ultra dense network , 2016, 2016 IEEE/CIC International Conference on Communications in China (ICCC).

[8]  Shuo Zhang,et al.  Gossip based distributed power control algorithm for 5G ultra dense networks , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[9]  Wei Ni,et al.  Preserving Reliability of Heterogeneous Ultra-Dense Distributed Networks in Unlicensed Spectrum , 2018, IEEE Communications Magazine.

[10]  Cheng-Xiang Wang,et al.  5G Ultra-Dense Cellular Networks , 2015, IEEE Wireless Communications.

[11]  Guomin Wu,et al.  A Downlink Interference Suppression Scheme for Ultra Dense Networks , 2017 .

[12]  Hao Wu,et al.  User location prediction based cell discovery scheme for user-centric ultra-dense networks , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[13]  Fei Zesong,et al.  Distributed chunk-based optimization for multi-carrier ultra-dense networks , 2016, China Communications.

[14]  Hui Li,et al.  Downlink Interference Rejection in Ultra Dense Network , 2018, 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO).

[15]  Khaled Ben Letaief,et al.  User-Centric Intercell Interference Nulling for Downlink Small Cell Networks , 2014, IEEE Transactions on Communications.

[16]  Jun Li,et al.  A Super Base Station Architecture for Future Ultra-Dense Cellular Networks: Toward Low Latency and High Energy Efficiency , 2018, IEEE Communications Magazine.

[17]  Min Sheng,et al.  Improving Network Capacity Scaling Law in Ultra-Dense Small Cell Networks , 2018, IEEE Transactions on Wireless Communications.

[18]  Amr M. Youssef,et al.  Ultra-Dense Networks: A Survey , 2016, IEEE Communications Surveys & Tutorials.