3 citations · 5 across the 6 of their papers we have counts for
7 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…
Centralized & Distributed Deep Reinforcement Learning Methods for Downlink Sum-Rate Optimization
Ahmad Ali Khan, Raviraj Adve
For a multi-cell, multi-user, cellular network downlink sum-rate maximization through power allocation is a nonconvex and NP-hard optimization problem. In this paper, we present an…
Optimizing Downlink Resource Allocation in Multiuser MIMO Networks via Fractional Programming and the Hungarian Algorithm
Ahmad Ali Khan, Raviraj Adve, Wei Yu
Optimizing the sum-log-utility for the downlink of multi-frequency band, multiuser, multiantenna networks requires joint solutions to the associated beamforming and user scheduling…