A Novel Heap-based Pilot Assignment for Full Duplex Cell-Free Massive MIMO with Zero-Forcing

This paper investigates the combined benefits of full-duplex (FD) and cell-free massive multiple-input multiple-output (CF-mMIMO), where a large number of distributed access points (APs) having FD capability simultaneously serve numerous uplink and downlink user equipments (UEs) on the same time-fre...

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Vydáno v:IEEE International Conference on Communications (2003) s. 1 - 6
Hlavní autoři: Nguyen, Hieu V., Nguyen, Van-Dinh, Dobre, Octavia A., Sharma, Shree Krishna, Chatzinotas, Symeon, Ottersten, Bjorn, Shin, Oh-Soon
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2020
Témata:
Cell-free massive MIMO
Channel estimation
Complexity theory
Fading channels
full-duplex radio
Gallium arsenide
heap structure
inner approximation
Interference
MIMO communication
spectral efficiency
Training
ISSN:1938-1883
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Shrnutí:This paper investigates the combined benefits of full-duplex (FD) and cell-free massive multiple-input multiple-output (CF-mMIMO), where a large number of distributed access points (APs) having FD capability simultaneously serve numerous uplink and downlink user equipments (UEs) on the same time-frequency resources. To enable the incorporation of FD technology in CF-mMIMO systems, we propose a novel heap-based pilot assignment algorithm, which not only can mitigate the effects of pilot contamination but also reduce the involved computational complexity. Then, we formulate a robust design problem for spectral efficiency (SE) maximization in which the power control and AP-UE association are jointly optimized, resulting in a difficult mixed-integer nonconvex programming. To solve this problem, we derive a more tractable problem before developing a very simple iterative algorithm based on inner approximation method with polynomial computational complexity. Numerical results show that our proposed methods with realistic parameters significantly outperform the existing approaches in terms of the quality of channel estimate and SE.
ISSN:1938-1883
DOI:10.1109/ICC40277.2020.9149439