Massive multiple-input multiple-output (MIMO) achieves a high spectral efficiency (SE) by employing a large number of receive antennas in the uplink. Employing many receive antennas requires a large number of analog-to-digital converters (ADCs) and a high fronthaul data rate. Low-resolution ADCs can reduce power consum...
Bengu Bilgic Keskin, A. O. Kislal, Ali Gorcin et al.· 0 citations
We consider the uplink of a fronthaul-constrained cell-free massive MIMO system with a single multi-antenna user equipment (UE) transmitting multiple spatial streams to distributed access points (APs). Due to heterogeneous channel conditions and limited fronthaul capacity, uniform-resolution quantization across APs and...
In this paper, we consider a wireless-fronthauled cell-free massive MIMO network and analyze the coupling between the access and fronthaul links under the Option-8 functional split. The two links are coupled through the design parameters, namely the access bandwidth $B_{\text{ac}}$ and the number of access point (AP) a...
Muhammed Selman Somuncu, Özlem Tuğfe Demir· International Symposium on N...· 0 citations
We study quantization-aware precoding for the downlink of cell-free massive MIMO systems with limited-resolution fronthaul. In such systems, the centrally designed precoder must be quantized before being conveyed to distributed access points (APs), creating a strong coupling between precoder design and fronthaul compre...
A unified analytical framework is developed to characterize the aggregate impact of hardware distortions across the access and fronthaul links and a max-min fair resource allocation framework is developed to jointly optimize the uplink transmit powers, fronthaul transmit powers, and fronthaul time expansion factor.
A network energy-efficiency (EE) maximization framework for the uplink of acell-free massive MIMO with wireless fronthaul, jointly optimizing the integrated access and fronthaul (IAF) resource split, the adaptive per-AP quantization resolution, and the fronthaul powers, and treating the time-division and frequency-divi...
A joint access and fronthaul resource allocation algorithm is proposed that maximizes the minimum user equipment (UE) spectral efficiency while satisfying fronthaul load constraints and shows that severe fronthaul limitations not only reduce UE rates but also introduce spatial performance disparities depending on the c...
Ozan Alp Topal, Ozlem Tuugfe Demir, Emil Björnson et al.· arXiv.org· 0 citations
A cross-layer end-to-end (E2E) resource orchestration framework for green CF-mMIMO ISAC systems with distributed multi-target detection is developed and a fundamental implementation trade-off is revealed: FIS provides lower detector-processing complexity and higher detection performance, whereas PIS substantially reduc...
Z. Behdad, Ozlem Tuugfe Demir, Ki Won Sung et al.· arXiv.org· 0 citations
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