Effective channel control random beamforming for single user MIMO systems

Hojae Lee, Jongrok Park, Hyukmin Son, Sanghoon Lee

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

In general, it has been demonstrated that the performance of conventional random beamforming (RBF) approaches that of ideal eigen beamforming when the number of users is large in a cell by exploiting multi-user diversity. However, if the number of users decreases, such as femto or pico cell in the 3GPP Long Term Evolution-Advanced standard, the performance degradation occurs in the RBF scheme due to the lack of multi-user diversity. In this paper, we present a novel precoder based on singular value decomposition (SVD) using feedback of weight values in an RBF environment. For achieving performance improvement in the femto cell environment, we generate a precoding matrix appropriate to user channel by controlling the feedback values with an equivalent feedback quantity. In the simulation results, we verify the outstanding performance of the proposed scheme for a small number of users.

Original languageEnglish
Pages (from-to)175-186
Number of pages12
JournalWireless Networks
Volume19
Issue number2
DOIs
Publication statusPublished - 2013 Feb

Bibliographical note

Funding Information:
Acknowledgments This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ITRC (Information Technology Research Center) support program supervised by the NIPA (National IT Industry Promotion Agency)‘‘ (NIPA-2012-H0301-12-1001). This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the ‘‘ITRC (Information Technology Research Center)’’ support program supervised by the NIPA (National IT Industry Promotion Agency)’’ (NIPA-2012-H0301-12-1008). This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2010-0011995).

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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