Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Performance analysis of low-complexity dual-cell random beamforming transmission with user scheduling | Zhu and Yang EURASIP Journal on Wireless Communications and Networking 2011 2011 191 EURASIP Journal on . http content 2011 1 191 Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access Performance analysis of low-complexity dual-cell random beamforming transmission with user scheduling Jun Zhu1 and Hong-Chuan Yang2 Abstract In this paper we study three low-complexity random beamforming transmission schemes for dual-cell multiuser multi-input-single-output systems. Among them selfish random beamforming and interference-aware random beamforming need no information exchange between cells while random beamforming with limited coordination LC-RB selects the beamforming vector and users with the help of a small amount of overhead signaling. We develop the exact analytical expressions of the ergodic sum-rate for the resulting systems based on which we compare the performance of the proposed schemes in dual-cell environment. We show through selected numerical examples that LC-RB achieves tremendous performance gain over the other schemes especially when users are populated along the cell boundary while only requiring beam index sharing between base stations. Furthermore we propose an adaptive implementation strategy for the more general scenario where users are arbitrarily distributed within the cell. Keywords network-MIMO coordinated beamforming codebook sum-rate analysis and wireless communications 1. Introduction In order to meet the increasing demand for high data rate multimedia wireless services future wireless systems are evolving toward universal frequency reuse where neighboring cells may utilize the same radio spectrum. Such scenario also applies to the emerging femtocell systems. As such the performance of future wireless systems will be mainly limited by intercell interference 1 . In parallel multiple antenna techniques MIMO can improve the spectral efficiency of wireless communication systems and provide .
