4 papers
Agentic Autoresearch for Cell-Edge Power Control: Radically Redefining the Researcher's Role
Ahmad Khan, Akram Bin Sediq, Sara Azadegi Naeini +1
Designing machine learning algorithms for wireless resource management is labour-intensive: the architecture, the loss function and the training recipe are all specified by hand. W…
Waterfilling at the Edge: Optimal Percentile Resource Allocation via Risk-Averse Reduction
Gokberk Yaylali, Ahmad Ali Khan, Dionysios S. Kalogerias
We address deterministic resource allocation in point-to-point multi-terminal AWGN channels without inter-terminal interference, with particular focus on optimizing quantile transm…
Percentile Optimization in Wireless Networks- Part I: Power Control for Max-Min-Rate to Sum-Rate Maximization (and Everything in Between)
Ahmad Ali Khan, Raviraj Adve
Improving throughput for cell-edge users through coordinated resource allocation has been a long-standing driver of research in wireless cellular networks. While a variety of wirel…
Percentile Optimization in Wireless Networks- Part II: Beamforming for Cell-Edge Throughput Maximization
Ahmad Ali Khan, Raviraj Adve
Part I of this two-part paper focused on the formulation of percentile problems, complexity analysis, and development of power control algorithms via the quadratic fractional trans…