This paper presents a downlink performance analysis of a Layered Random Beamforming (LRB) - MIMO-OFDMA Physical Layer (PHY) as applicable to future generation wireless communication systems. OFDMA is a popular multiple access candidate for future generation cellular communication systems which facilitates multi-user diversity by enabling multiple access in the frequency domain. Random Beamforming (RB) is a method which enables the exploitation of spatial multi-user diversity gain and a spatial multiplexing capacity gain. Unlike a conventional beamforming system, an RB system only requires effective signal to noise ratios (ESNR) as feedback and thus has potentially much lower feedback requirements than a system which requires feedback of more detailed channel information. The Layered method (LRB) enables the spatial multiplex of data transmitted simultaneously to different destinations. As a result it is able to offer a further spatial multi-user diversity gain, referred to here as layer multi-user diversity gain to distinguish from that achieved by the RB technique. An LRB-OFDMA system is thus able to achieve the rich benefits of spatial multiplexing capacity gain in combination with spatial, layer and spectral multi-user diversity gains. In this paper, the design of both RB-OFDMA and LRB-OFDMA systems are proposed and the performance of the system is evaluated by software simulation using various statistical channel models.
|Translated title of the contribution
|Random beamforming OFDMA for future generation cellular communication systems
|516 - 520
|Number of pages
|IEEE 66th Vehicular Technology Conference 2007, (VTC-2007 Fall)
|Published - 30 Sept 2007
|66th Vehicular Technology Conference 2007 (VTC 2007-Fall) - Baltimore, MD, United States
Duration: 30 Sept 2007 → …
Bibliographical notePublisher: Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Name and Venue of Conference: IEEE 66th Vehicular Technology Conference, VTC-2007 Fall, Baltimore
Rose publication type: Conference contribution
Additional information: With accompanying conference presentation
Sponsorship: The authors wish to acknowledge the financial support of Dorothy Hodgkin Postgraduate Awards (DHPA) and Toshiba
Research Europe Limited (TREL) and to thank Dr. Magnus Sandell of TREL and Dr. Matthew Webb of University of Bristol for their technical input.
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- Layered Random Beamforming (LRB)