An efficient random beamforming method based on beam subset selection

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 250
  • Download : 499
In the finite number of users, the proposed beam subset selection method improves the throughput performance of the orthogonal random beamforming (ORBF), which is a scheme to achieve asymptotic sum capacity for a downlink multiuser multiple-input/multiple output (MIMO) system using partial channel information in the infinite number of users. We show that there exists an optimal number of random beams to maximize the sum throughput for given number of users. When the number of random beams is less than the number of antennas, selecting the random beams to maximize signal- to-interference-plus-noise ratios (SINRs) provides additional SINR gain to ORBF. Through the simulation results, we show the performance improvement by the proposed beam subset selection.
Publisher
IEEE
Issue Date
2007-09-03
Language
ENG
Citation

18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'07, pp.1 - 5

URI
http://hdl.handle.net/10203/13012
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
An efficient random beamforming method based on...(135.08 kB)Download

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0