Abstract
The third generation partnership Project's (3GPP) spatial channel model (SCM) is a stochastic channel model for MIMO systems. Due to fixed subpath power levels and angular directions, the SCM model does not show the degree of variation which is encountered in real channels. In this paper, we propose a modified SCM model which has random subpath powers and directions and still produces Laplace shape angular power spectrum. Simulation results on outage MIMO capacity with basic and modified SCM models show that the modified SCM model gives constantly smaller capacity values. Accordingly, it seems that the basic SCM gives too small correlation between MIMO antennas. Moreover, the variance in capacity values is larger using the proposed SCM model. Simulation results were supported by the outage capacity results from a measurement campaign conducted in the city centre of Oulu, Finland.
Highlights
Future wireless communication aims at higher data rates
The spatial channel model proposed by the Third Generation Partnership Project (3GPP) [4, 5] is investigated and compared to a modified SCM model, which was derived in this study
This obviously demonstrates the fact that the 3GPP SCM model has a static nature to bring relatively small spatial correlation values between Multiple-input multipleoutput (MIMO) antennas
Summary
Future wireless communication aims at higher data rates. Since the radio spectrum is limited, the requirement of high spectrum efficiency can be fulfilled by exploiting the spatial dimension of the radio channel [1]. Depending on the channel gains of the parallel channels, the MIMO channel can have much higher channel capacity compared to a single-input single-output (SISO) channel in the same frequency range and with the same total transmit power. The performance of such a system is largely determined by the MIMO channel characteristics, so it is critical to create channel models that accurately reflect realistic behavior.
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