Energy-Efficient Spectrum Sharing in Relay-Assisted Cognitive Radio Systems
Mariem Mhiri, Karim Cheikhrouhou, Abdelaziz Samet, Fran\c{c}ois, M\'eriaux, Samson Lasaulce

TL;DR
This paper proposes a distributed spectrum sharing approach for relay-assisted cognitive radio systems that achieves energy efficiency and Pareto optimality through a game-theoretic framework and simple gradient algorithms.
Contribution
It introduces a novel game-theoretic model with a unique Nash bargaining solution for energy-efficient spectrum sharing in relay-assisted systems.
Findings
Spectral efficiency can be significantly improved.
The proposed distributed algorithm converges to the Pareto-efficient solution.
Energy-efficient spectrum sharing is feasible with simple gradient updates.
Abstract
This work characterizes an important solution concept of a relevant spectrum game. Two energy-efficient sources communicating with their respective destination compete for an extra channel brought by a relay charging the used bandwidth through a pricing mechanism. This game is shown to possess a unique Nash bargaining solution, exploiting a time-sharing argument. This Pareto-efficient solution can be implemented by using a distributed optimization algorithm for which each transmitter uses a simple gradient-type algorithm and alternately updates its spectrum sharing policy. Typical numerical results show to what extent spectral efficiency can be improved in a system involving selfish energy-efficient sources.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
