Towards Massive MIMO Channel Emulation: Channel Accuracy Versus Implementation Resources
| Autor: | Yongjiu Du, Pengda Huang, Joseph Camp, Dinesh Rajan, Matthew Tonnemacher |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Emulation
Computer Networks and Communications Computer science business.industry MIMO Aerospace Engineering 020302 automobile design & engineering Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology 0203 mechanical engineering Computer engineering Automotive Engineering Memory footprint Wireless Electrical and Electronic Engineering Field-programmable gate array business Computer Science::Information Theory Communication channel |
| Zdroj: | IEEE Transactions on Vehicular Technology. 69:4635-4651 |
| ISSN: | 1939-9359 0018-9545 |
| DOI: | 10.1109/tvt.2020.2980583 |
| Popis: | Channel emulation is widely used to control wireless channels and replay scenarios for repeatable experimentation and evaluation. Characterizing the propagation of massive Multiple-Input Multiple-Output (MIMO) systems, is challenging due to the rapid scaling of the number of channels needed to create representative scenarios as well as accurately modeling complex interdepedencies that exist within the channel matrix. Nonetheless, having the ability to emulate massive MIMO channels is critical for the development and testing of next-generation cellular protocols and algorithms. To achieve such scale for massive MIMO channel emulation solutions, in this paper, we study the tradeoff in channel emulation fidelity versus the hardware resources consumed using both analytical modeling and FPGA-based implementations. To reduce the memory footprint of our design, we optimize our channel emulation using an iterative structure to generate geometry-based channels at scale. In addition, the effects of varying the channel update rate and word length selection are evaluated in the paper and can significantly improve the implementation efficiency on an FPGA. |
| Databáze: | OpenAIRE |
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