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Joint Sequential Fronthaul Quantization and Hardware Complexity Reduction in Uplink Cell-Free Massive MIMO Networks
We show that 1) de-correlating the received signal vector at each AP from the corresponding vectors of the previous APs (inter-AP de-correlation) and 2) de-correlating the dimensions of the received signal vector at each AP (intra-AP de-correlation) before quantization helps to use the quantization bits at each AP more efficiently than directly quantizing the received signal vector without any pre-processing and consequently, improves the bit error rate (BER) and normalized mean square error (NMSE) of users signal estimation.
Location-Based Load Balancing for Energy-Efficient Cell-Free Networks
However, these CF mMIMO networks are designed for peak traffic loads, and when this is not the case, they are significantly over-dimensioned and not at all energy efficient.
Sequential Processing in Cell-free Massive MIMO Uplink with Limited Memory Access Points
However, we show that in case of limited memory capacity at each AP, the memory capacity to store the received signal vectors at the final AP of this fronthaul becomes a limiting factor.
Cell-Free Massive MIMO in the O-RAN Architecture: Cluster and Handover Strategies
Cell-free Massive MIMO has emerged as a promising solution for next-generation radio networks.
