Structured Massive Access for Scalable Cell-Free Massive MIMO SystemsShow others and affiliations
2021 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 39, no 4, p. 1086-1100Article in journal (Refereed) Published
Abstract [en]
How to meet the demand for increasing number of users, higher data rates, and stringent quality-of-service (QoS) in the beyond fifth-generation (B5G) networks? Cell-free massive multiple-input multiple-output (MIMO) is considered as a promising solution, in which many wireless access points cooperate to jointly serve the users by exploiting coherent signal processing. However, there are still many unsolved practical issues in cell-free massive MIMO systems, whereof scalable massive access implementation is one of the most vital. In this paper, we propose a new framework for structured massive access in cell-free massive MIMO systems, which comprises one initial access algorithm, a partial large-scale fading decoding (P-LSFD) strategy, two pilot assignment schemes, and one fractional power control policy. New closed-form spectral efficiency (SE) expressions with maximum ratio (MR) combining are derived. The simulation results show that our proposed framework provides high SE when using local partial minimum mean-square error (LP-MMSE) and MR combining. Specifically, the proposed initial access algorithm and pilot assignment schemes outperform their corresponding benchmarks, P-LSFD achieves scalability with a negligible performance loss compared to the conventional optimal large-scale fading decoding (LSFD), and scalable fractional power control provides a controllable trade-off between user fairness and the average SE.
Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 39, no 4, p. 1086-1100
Keywords [en]
MIMO communication, Fading channels, Signal processing algorithms, Power control, Interference, Quality of service, Beyond 5G network, cell-free massive MIMO, massive access, AP selection, pilot assignment, user-centric network
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-296041DOI: 10.1109/JSAC.2020.3018836ISI: 000631201600014Scopus ID: 2-s2.0-85090228219OAI: oai:DiVA.org:kth-296041DiVA, id: diva2:1663850
Note
QC 20220615
2022-06-022022-06-022022-06-25Bibliographically approved