Exclusion Zone Assisted eICIC in Massive MIMO Enabled Cognitive HetNets | Zendy

Zichen Chen | Zendy; Jiandong Li | Zendy; Jinjing Huang | Zendy

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Exclusion Zone Assisted eICIC in Massive MIMO Enabled Cognitive HetNets

Author(s) -

Zichen Chen,

Jiandong Li,

Jinjing Huang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2883592

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

In a massive MIMO-enabled cognitive HetNet, a multi-user massive MIMO macrocell is underlaid with dense cognitive small cells. Then, a plenty of exclusion zones (EZs) are formed around co-scheduled macrocell users. Applying enhanced inter-cell interference coordination (eICIC) in each EZ separately, we propose an EZ-assisted eICIC scheme which arranges a customized eICIC configuration for each EZ independently to others. The proposed scheme can overcome potential weaknesses of current eICIC and that of cognitive HetNets. Then, the EZ-assisted eICIC configuration problem is formulated as a general optimization problem, which maximizes overall weighted sum rate of the network. Since the problem is intractable, a cluster segmentation approach is, therefore, proposed to convert the problem into a feasible version. Furthermore, we design an iterative multi-user scheduling-based algorithm to solve the problem. Numerical results demonstrate that the proposed EZ-assisted eICIC scheme significantly outperforms eICIC and further eICIC in dense HetNet.

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