Implementation of a Distributed Joint Routing and Dynamic Spectrum Allocation Algorithm on USRP2 Radios

Abstract—A cognitive radio network with decentralized control (i.e., a cognitive ad hoc network) is considered in this demon-stration. The demo implements a decentralized and localized algorithm for throughput maximization through joint routing and interference-avoiding waveform selection. The algorithm adapts to time-varying traffic demands, interference profile, and network topology to locally maximize the achievable data rate while avoiding harmful interference to co-located primary or secondary users. The prototype is based on a cross-layer protocol stack implemented in Python, which leverages GNU Radio for adaptive signal generation on a USRP2 software-defined-radio platform. Index Terms—Cognitive ad hoc networks, dynamic spectrum access, power allocation, software defined radio. I