Cross-Tier Interference Alignment With Interfering Pair Selection in Uplink Heterogeneous Networks With Multiple Macrocells | Zendy

Yifei Xu | Zendy; Jiandong Li | Zendy; Wei Liu | Zendy; Xiaoya Li | Zendy; Jia Liu | Zendy; Xuefei Peng | Zendy

Open Access

Cross-Tier Interference Alignment With Interfering Pair Selection in Uplink Heterogeneous Networks With Multiple Macrocells

Author(s) -

Yifei Xu,

Jiandong Li,

Wei Liu,

Xiaoya Li,

Jia Liu,

Xuefei Peng

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.2018.2836901

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 this paper, we have considered the uplink cross-tier interference in multi-macrocell heterogeneous networksystem, where each macrocell consists of a number of small cells. Cross-tier interference between macrocell user equipments (MUEs) and small cells base stations (SBSs) exists in both intra-macrocell and inter-macrocell due to high transmit power of MUEs. The MUE-to-SBS interference from both local and adjacent macrocells is dealt with interference alignment (IA) with the aid of a central processing node, and co-tier interference caused by small cell user equipments (SUEs) and MUEs is dealt with minimum mean square error method. To reduce the channel state information (CSI) bits transmitted through inter-cell backhaul with limited capacity required by IA, the idea of MUE-to-SBS interfering pair selection (IPS) is employed before IA. The effects of different IPS schemes on the performance of the system have been investigated. Results show that the proposed multi-macrocell IA algorithm improves the performance of SUEs while maintaining that of MUEs compared with others’ previous work in single-macrocell scenario. In addition, numerical results show that it is wise not to align all cross-tier interference. We can achieve better performance while decreasing the load for transmitting precise MUE-to-SBS CSI on inter-cell backhaul by selecting an appropriate number of participants in our proposed IA algorithm.

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