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Within this contribution the robustness and reliability of MIMO order (MOS) and antenna subset selection (AS) procedures has been studied. We considered AS for spatial multiplex (SM) systems, where the total power is distributed equally among selected antennas. MIMO channel data sets from a channel sounding campaign in an urban macro cell scenario have been used for advanced performance evaluation...
Multiple-Input Multiple-Output (MIMO) wireless system is one of the most promising technologies for providing a large transmission capacity without expanding the frequency band in cellular mobile systems. This paper focuses on 2×2 MIMO capacity estimation through propagation measurements at 2GHz band. The authors conducted the measurement campaign in two regions in Fujimino (Saitama prefecture) and...
In this paper we present results from a outdoor-to-indoor MIMO measurement campaign where we study the effect of repeaters on singular values, spatial richness, capacity, and delay spread distributions. We present results from different repeater scenarios such as, e.g. different outdoor/indoor repeater deployments with single/dual polarized antennas. The measurements show that repeaters significantly...
In this paper, we propose a new open-loop rate/link adaptation algorithm (ARFHT) for the emerging high-speed IEEE 802.11n WLANs. ARFHT extends the legacy rate adaptation algorithms for SISO WLANs to make it applicable in the context of MIMO-based 802.11n WLANs. It adapts the MIMO mode in terms of spatial multiplexing and spatial diversity, the two fundamental characteristics of the 802.11n MIMO PHY...
In multi-user multiple-input multiple-output (MU-MIMO) systems, spatial multiplexing can be employed to increase the throughput without the need for multiple antennas and expensive signal processing at the user equipments. In theory, MU-MIMO is also more immune to most of propagation limitations plaguing single-user MIMO (SU-MIMO) systems, such as channel rank loss or antenna correlation. However,...
In multi-user multiple-input multiple-output (MU-MIMO) systems, spatial multiplexing can be employed to increase the throughput without the need for multiple antennas and expensive signal processing at the user equipments. In theory, MU-MIMO is also more immune to most of propagation limitations plaguing single-user MIMO (SU-MIMO) systems, such as channel rank loss or antenna correlation. In this...
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