Distributed DNN Power Allocation in Cell-Free Massive MIMO

Survey on Resource Allocation for Future 6G Network Architectures: Cell-Free and Radio Stripe Technologies

“…Authors in [89] use an unsupervised low training complexity DeL approach for MMF, max product, and MRC SO optimization in the UL of a CF mMIMO system where optimal power allocations are not required to be known. In [90,91], a DNN is trained to optimize DL power allocation under MSR and proportional fairness metrics with MRT and regularized ZF (RZF) precoding. In [58], the authors propose three different optimization algorithms based on meta-heuristic (MH) approaches as alternative schemes to solve UL MMF power optimization in CF mMIMO with per-UE power constraint, local AP MRC, and average weighting at the CPU.…”

“…Successive Convex Approximation (SCA) SO optimization UL: GP-based [78] LSF-based [80] DL: Weighted MMSE and FrP-based [81] , UL: MRC-based bisection [14] Rician distribution bisection [70] ZF-based bisection [71] GP-based [49,72,78] QoS-constrained [73] Limited backhaul [74] Uniform quantization [75] LSF-based [80] MH-based [58] DL: LSF-based [79] FrP-based [81] UL: MTP [78,80] DL: HW and backhaul [69] QoS-constrained [76] Non-convex SO optimization UL: APG-based [82] DL: First-order method [83] Deep Learning (DeL) SO optimization UL: DNN-based [87,88] DL: DNN and MRT-based [56] DNN MRT/RZF [90,91] UL: DNN-based [87,88] Unsupervised low training MRC-based [89] DL: DNN-based [85] DNN and MRT-based [56,68] UL: GP and DCNN/LSF-based [84] DL: DRL-based [86] BO optimization UL: DRL/LSF and SCA-based [92] UL: SCA MTP and latency-constrained [77]…”