Open this publication in new window or tab >>2022 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 21, no 11, p. 10065-10080Article in journal (Refereed) Published
Abstract [en]
Reciprocity-based time-division duplex (TDD) Massive MIMO (multiple-input multiple-output) systems utilize channel estimates obtained in the uplink to perform precoding in the downlink. However, this method has been criticized of breaking down, in the sense that the channel estimates are not good enough to spatially separate multiple user terminals, at low uplink reference signal signal-to-noise ratios, due to insufficient channel estimation quality. Instead, codebook-based downlink precoding has been advocated for as an alternative solution in order to bypass this problem. We analyze this problem by considering a “grid-of-beams world” with a finite number of possible downlink channel realizations. Assuming that the terminal accurately can detect the downlink channel, we show that in the case where reciprocity holds, carefully designing a mapping between the downlink channel and the uplink reference signals will perform better than both the conventional TDD Massive MIMO and frequency-division duplex (FDD) Massive MIMO approach. We derive elegant metrics for designing this mapping, and further, we propose algorithms that find good sequence mappings.
Place, publisher, year, edition, pages
IEEE, 2022
Keywords
Channel estimation, Downlink, Uplink, Base stations, Signal to noise ratio, Massive MIMO, Precoding
National Category
Telecommunications
Identifiers
urn:nbn:se:liu:diva-188498 (URN)10.1109/TWC.2022.3182749 (DOI)000882003900084 ()
Funder
Swedish Research Council, 2019-05068; D0760701Knut and Alice Wallenberg Foundation
Note
Additional funding agencies: Excellence Center at Linköping, Lund in Information Technology (ELLIIT)
2022-09-142022-09-142022-11-30Bibliographically approved