Analysis of interference alignment based multi-user MIMO precoding


  • Amlan Deep Borah North Eastern Regional Institute of Science and Technology, India
  • Md. Anwar Hussain North Eastern Regional Institute of Science and Technology, India
  • Joyatri Bora North Eastern Regional Institute of Science and Technology, India



MU-MIMO, Interference Alignment, Antenna Combining, GMD, SVD


Interference mitigation for better system performance is highly significant in the modern communication systems. Rising day to day demand for wireless communication has introduced some new research efforts in terms of spectrum efficiency, maximum possible user rates, and the reuse of frequency spectrum and minimum level of interference. Interference alignment (IA) is a novel way to mitigate the inter-cell interference (ICI) of a network that leads to a better system performance. One effective technique behind this scheme is to align the interfering signal from each transmitter of neighboring cell into a predefined direction, and obtain the receive antenna combining vector of each user. With the perfect channel state information and having a feedback system with the cell base station transmitter, the IA system can increase the system sum-rate. Increasing the cell edge spectral efficiency in the cellular system is one of the prime performance factors. This paper is based on the cell edge users of a cellular communication system. Scheduling techniques for the selection of best users and antennas from large groups of users and antennas, respectively, are used in this paper. This article deals with a precoder design, with antenna and user selection techniques based on partial IA in two-cell and three-cell networks of a downlink MU-MIMO system. A comparative analysis was made on the system performance by using the singular value decomposition (SVD) based precoding and geometric mean decomposition (GMD) based precoding techniques. In this study the LTE codebook is used, which is known both to the transmitter and the receiver.

Author Biographies

Amlan Deep Borah, North Eastern Regional Institute of Science and Technology

ECE, Research Scholar

Md. Anwar Hussain, North Eastern Regional Institute of Science and Technology

ECE, Professor

Joyatri Bora, North Eastern Regional Institute of Science and Technology

ECE, Assistant Professor


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Two-cell downlink MU-MIMO network





Research Articles