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Reducing On-chip Me...
Reducing On-chip Memory for Massive MIMO Baseband Processing using Channel Compression
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- Liu, Yangxurui (author)
- Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,Integrated Electronic Systems,Lund University Research Groups,National University of Defense Technology
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- Edfors, Ove (author)
- Lund University,Lunds universitet,Kommunikationsteknologi,Forskargrupper vid Lunds universitet,Communications Engineering,Lund University Research Groups
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- Liu, Liang (author)
- Lund University,Lunds universitet,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,Integrated Electronic Systems,Lund University Research Groups
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- Öwall, Viktor (author)
- Lund University,Lunds universitet,Lunds Tekniska Högskola,Integrerade elektroniksystem,Forskargrupper vid Lunds universitet,Faculty of Engineering, LTH,Integrated Electronic Systems,Lund University Research Groups
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(creator_code:org_t)
- 2018
- 2018
- English 5 s.
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In: 2017 IEEE 86th Vehicular Technology Conference: VTC2017-Fall. ; , s. 1-5
- Related links:
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http://dx.doi.org/10...
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Abstract
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- Employing a large number of antennas at the base station, massive MIMO significantly improves spectral efficiency and transmit power efficiency. On the other hand, massive MIMO also introduces unprecedented implementation challenges, especially in terms of processing and storage of large-size channel state information (CSI) matrices. Since on-chip memory is generally very expensive and has limited storage capacity, this paper uses the concept of on-chip CSI data compression and decompression to reduce memory requirements during baseband processing. To achieve this, massive MIMO channel properties are explored using a hardware-friendly DFT-based compression algorithm. The proposed method is evaluated with measured channel data at 2.6 GHz using a 128-antenna linear array [1]. Simulation results show that aggressive CSI compression can be adopted without significant loss in communication performance, while the DFT-based compression can be conveniently integrated into the on-chip memory. This enables a large reduction of required on-chip memory, with negligible hardware overhead for compression/decompression.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
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