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Branka Vucetic

7 accepted papers

2023

Inverse Reinforcement Learning with Graph Neural Networks for IoT Resource Allocation

ICASSP 2023accepted

The rapid development of Internet of Things (IoT) applications requires efficient computing and communication resource allocation strategies to streamline the existing network operations. These strategies could be formulated as mixed-integer nonlinear programming (MINLP) problems, where the optimal…

Cited by 0SourceScholar
2020

Near-Optimal Interference Exploitation 1-Bit Massive MIMO Precoding Via Partial Branch-and-Bound

ICASSP 2020accepted

In this paper, we focus on 1-bit precoding for large-scale antenna systems in the downlink based on the concept of constructive interference (CI). By formulating the optimization problem that aims to maximize the CI effect subject to the 1-bit constraint on the transmit signals, we mathematically pr…

Cited by 0SourceScholar
2020

Real-Time Task Offloading for Large-Scale Mobile Edge Computing

ICASSP 2020accepted

Mobile-edge computing (MEC) is a promising technology to support computation-intensive and delay-sensitive applications at smart devices by offloading their local tasks to the network edge. In this paper, we propose a novel index based real-time task offloading policy for an asynchronous large-scale…

Cited by 0SourceScholar
2019

Interference Exploitation Precoding for Multi-level Modulations

ICASSP 2019accepted

In this paper, we investigate the interference exploitation precoding for multi-level modulations in the downlink multi-antenna systems. We mathematically derive the optimal precoding structures based on the Karush-Kuhn-Tucker (KKT) conditions. Furthermore, by formulating the dual problem, the preco…

Cited by 0SourceScholar
2018

Mobile Bayesian Spectrum Learning for Heterogeneous Networks

ICASSP 2018accepted

Spectrum sensing in heterogeneous networks is very challenging as it usually requires a large number of static secondary users (SUs) to capture the global spectrum states. In this paper, we tackle the spectrum sensing in heterogeneous networks from a new perspective. We exploit the mobility of multi…

Cited by 0SourceScholar
2015

A stackelberg game-based energy trading scheme for power beacon-assisted wireless-powered communication

ICASSP 2015accepted

This paper studies a power beacon-assisted wireless-powered communication network, consisting of one hybrid access point (AP), one information source, and multiple power beacons (PBs). The source has no embedded power supply, and thus, has to harvest RF energy from the AP in the downlink before tran…

Cited by 0SourceScholar