Beamforming Designs Based on an Asymptotic Approach in MISO Interference Channels

• Published in: IEEE transactions on wireless communications Vol. 12; no. 12; pp. 6430 - 6438
• Main Authors: LEE, Sang-Rim, KONG, Han-Bae, HAEWOOK PARK, INKYU LEE
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.12.2013; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Approximation methods; Array signal processing; beamforming; Broadcasting. Videocommunications. Audiovisual; Complexity theory; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information, signal and communications theory; Interference; Interference channels; Miscellaneous; random matrix theory; Resource management; Signal and communications theory; Signal to noise ratio; Signal, noise; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Vectors; Performance evaluation; Parameter estimation; Random matrix; Interference channels; Algorithm; Power allocation; Computational complexity; Beam forming; Signal interference; Channel estimation; Signal processing; Broadcast channels; random matrix theory; Numerical simulation; Signal to interference plus noise ratio; MISO system; beamforming
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TW.2013.103013.130698

In this paper, we consider weighted sum-rate (WSR) maximization problems in multiple-input single-output (MISO) interference channels (IFC) and interfering broadcast channels (IFBC). Most of existing techniques have tried to improve the WSR performance by utilizing instantaneous channel state information. However, since these methods in general should be carried out for each channel realization, they require high computational complexity, which may not be suitable for practical systems. To overcome this issue, we propose a new low complexity beamforming scheme for IFC based on virtual signal-to-interference-plus-noise ratio with constant parameters which depend only on the long-term channel statistics. In our approach, to obtain the constant parameters, the asymptotic values of the leakage coefficients which control the interference signal power are derived by employing asymptotic results from random matrix theory. Moreover, based on the results in MISO IFC, we extend the algorithm to the MISO IFBC case by applying a power allocation algorithm. Numerical results confirm that the proposed schemes provide the near-optimal WSR performance with much reduced system complexity.