DMCA
Multi-user MIMOOFDM cell throughput under real-world propagation conditions
| Venue: | IEEE Proceedings of the Vehicular Technology Conference |
| Citations: | 4 - 0 self |
BibTeX
@INPROCEEDINGS{Geng_multi-usermimoofdm,
author = {Norbert Geng},
title = {Multi-user MIMOOFDM cell throughput under real-world propagation conditions},
booktitle = {IEEE Proceedings of the Vehicular Technology Conference},
year = {},
pages = {2002}
}
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Abstract
Abstract — In recent years, an innumerable number of papers has been published on MIMO (multiple input multiple output) systems. The original and most of the current work deals with a single link between a multi-element antenna (MEA) transmitter and a MEA receiver. However, link-level capacity gain does not necessarily translate into a similar system-level gain. Therefore, several researchers have investigated the performance of MIMO systems on cell or even system level, including intracell and/or intercell interference. While these multi-user MIMO investigations are very helpful, presented (simulation) results have been mostly limited to simple propagation scenarios (e.g., flat fading and/or i.i.d. Rayleigh fading). Here we present results for the uplink sum capacity of multiple MIMO users in a single cell (i.e., intercell interference is not explicitly accounted for) based on a channel model which accounts for partial MIMO correlations, large-scale fading effects, variable delay spread, non-vanishing Ricean factor, and random user orientation. We concentrate on the cell capacity. However, estimation of the maximum uplink cell throughput for real-world AMC (adaptive modulation and coding) is similarly possible via the SNR gap approximation and power/bit loading. According to the simulation results, beamforming is the capacity-achieving strategy for a large number of users within the cell. This is consistent with theoretical results derived recently by other researchers. However, the simulated results here cover the entire range from optimum single-user performance (i.e., transmission on spatial eigenmodes plus water filling) to the capacity when the number of users greatly exceeds the number of base station antennas (i.e., with beamforming being the best strategy).
Keyphrases
real-world propagation condition multi-user mimoofdm cell throughput innumerable number real-world amc similar system-level gain mea receiver large number flat fading maximum uplink cell throughput channel model spatial eigenmodes single cell theoretical result intercell interference system level optimum single-user performance large-scale fading effect multiple mimo user multi-element antenna variable delay spread water filling several researcher base station mimo system partial mimo correlation user orientation current work deal entire range link-level capacity gain non-vanishing ricean factor uplink sum capacity multi-user mimo investigation cell capacity present result simulation result single link propagation scenario recent year adaptive modulation snr gap approximation capacity-achieving strategy power bit simulated result multiple input multiple output
