Abstract
Multiple-inputmultiple-output (MIMO) techniques are regarded as the crucial enhancement of todays wireless access technologies to allow for a significant increase in spectral efficiency. After intensive research on single link performance, the third Generation Partnership Project (3GPP) integrated a spatial multiplexing scheme as MIMO extension of High-Speed Downlink Packet Access (HSDPA). Despite the scientific findings on the link-level performance of MIMO techniques, many questions relevant for the design and optimization of cellular networks remain unanswered. In particular, it has to be identified whether, and to which amount, the predicted MIMO link-level performance gains can be achieved in an entire network. In this paper, we present a computationally efficient link-to-system level model for system-level evaluations of MIMO HSDPA and an exemplary embedding in a MATLAB-based system-level simulator. The introduced equivalent fading parameter structure allows for a semianalytic physical-layer abstraction with high prediction accuracy and simultaneous moderate complexity.
Highlights
Mobile radio communication represents one of the most persistent growing technology markets since the introduction of the Global System for Mobile communications (GSM)
We only investigated the statistics in case of International Telecommunication Union (ITU) channel profiles, we want to point out that the proposed structure can be utilized for arbitrary channel models like the Spatial Channel Model (SCM) [36]
The fitting parameter was found by least squares- (LS-) based fitting of the instantaneous symbol-based signal-to-inference-and-noise ratio (SINR) derived from link-level simulations to the corresponding additive white Gaussian noise (AWGN) performance curves
Summary
Mobile radio communication represents one of the most persistent growing technology markets since the introduction of the Global System for Mobile communications (GSM). Either the utilization of Minimum Mean Squared Error (MMSE) equalizers is not supported (as recommended for MIMO HSDPA) [17, 25], multiple-stream operation is not covered [13], the mandatory precoding (e.g., for D-TxAA) is missing [24], or no full analytical description is derived to be available for system-level evaluations [12, 13]. Our model shows a structure that identifies the relevant interference terms—which enables, for example, receiver optimizations [26, 27]—and allows for the generation of scalar fading parameters prior to the system-level simulation Utilizing this special structure, most link-dedicated procedures can be included in these fading parameters, during the runtime of the systemlevel simulation only scalar multiplications are needed to compute the SINR.
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