Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks

Cooperative Learning and Coordination for Cognitive Radio Networks

The raison d’etre for cognitive radio is that the radio spectrum is a scarce resource. Cognitive radio stretches this resource by enabling secondary users to operate in portions of the spectrum that are reserved for primary users but not currently used by the primary users. As it is whenever users share resources, coordination is a central issue in cognitive radio networks: absent coordination,...

Directional Relays for Multi-Hop Cooperative Cognitive Radio Networks

In this paper, we investigate power allocation and beamforming in a relay assisted cognitive radio (CR) network. Our objective is to maximize performance of the CR network while limiting interference in the direction of the primary users (PUs). In order to achieve these goals, we first consider joint power allocation and beamforming for cognitive nodes in direct links. Then, we propose an optim...

Cognitive Coordination for Cooperative Multi-Robot Teamwork

Value-Decomposition Networks For Cooperative Multi-Agent Learning

We study the problem of cooperative multi-agent reinforcement learning with a single joint reward signal. This class of learning problems is difficult because of the often large combined action and observation spaces. In the fully centralized and decentralized approaches, we find the problem of spurious rewards and a phenomenon we call the “lazy agent” problem, which arises due to partial obser...

Spectrum management of cognitive radio using multi-agent reinforcement learning

Wireless cognitive radio (CR) is a newly emerging paradigm that attempts to opportunistically transmit in licensed frequencies, without affecting the pre-assigned users of these bands. To enable this functionality, such a radio must predict its operational parameters, such as transmit power and spectrum. These tasks, collectively called spectrum management, is difficult to achieve in a dynamic ...