Impact of Channel Aging on Cell-Free Massive MIMO Over Spatially Correlated Channels
2021 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 20, no 10, p. 6451-6466Article in journal (Refereed) Published
Abstract [en]
In this paper, we investigate the impact of channel aging on the performance of cell-free (CF) massive multiple-input multiple-output (MIMO) systems with both spatial correlation and pilot contamination. We derive novel closed-form uplink and downlink spectral efficiency (SE) expressions that take imperfect channel estimation into account. More specifically, we consider large-scale fading decoding and matched-filter receiver cooperation in the uplink. The uplink performance of a small-cell (SC) system is derived for comparison. The CF massive MIMO system achieves higher 95%-likely uplink SE than the SC system. In the downlink, the coherent transmission has four times higher 95%-likely per-user SE than the non-coherent transmission. Statistical channel cooperation power control (SCCPC) is used to mitigate the inter-user interference. SCCPC performs better than full power transmission, but the benefits are gradually weakened as the channel aging becomes stronger. Furthermore, strong spatial correlation reduces the SE but degrades the effect of channel aging. Increasing the number of antennas can improve the SE while decreasing the energy efficiency. Finally, we use the maximum normalized Doppler shift to design the SE-improved length of the resource block. Simulation results are presented to validate the accuracy of our expressions and prove that the CF massive MIMO system is more robust to channel aging than the SC system.
Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 20, no 10, p. 6451-6466
Keywords [en]
Massive MIMO; Aging; Uplink; Downlink; Correlation; MIMO communication; Receivers; Cell-free massive MIMO; channel aging; spatial correlation; coherent transmission; spectral efficiency; energy efficiency; statistical channel cooperation power control
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-180757DOI: 10.1109/TWC.2021.3074421ISI: 000704824800018OAI: oai:DiVA.org:liu-180757DiVA, id: diva2:1607596
Note
Funding Agencies|National Key Research and Development Program of China [2020YFB1807201]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61971027, U1834210, 61961130391]; Beijing Natural Science FoundationBeijing Natural Science Foundation [L202013]; Frontiers Science Center for Smart High-speed Railway System; Royal Society Newton Advanced Fellowship [NA191006]; State Key Laboratory of Rail Traffic Control and Safety [RCS2018ZZ007, RCS2019ZZ007]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [2020YJS022]; Swedish Research CouncilSwedish Research CouncilEuropean Commission [2019-05068]
2021-11-012021-11-012021-11-01