Open AccessJoint spectrum sensing, power, and bandwidth allocation for multiband cognitive radio systems
Author(s) -
Karimi Mohammad,
Ahmadi Shadi
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.1305
Subject(s) - cognitive radio , bandwidth (computing) , bandwidth allocation , mathematical optimization , computer science , convex optimization , resource allocation , lagrange multiplier , optimization problem , frequency allocation , channel allocation schemes , regular polygon , telecommunications , algorithm , mathematics , wireless , computer network , geometry
Multiband cognitive radio (CR) signalling allows CR networks to efficiently take advantage of the unused frequency bands. On the other hand, joint spectrum sensing and power allocation in CR systems has been shown to enable higher opportunities for CR transmission. In this work, the authors perform joint spectrum sensing and resource allocation (power and bandwidth) in a multiband CR system. This is achieved by defining an optimisation problem, which is formulated to maximise the average opportunistic CR data rate under constraints on interference, power budget, and total available bandwidth leading to a non‐convex optimisation problem. As the original formulated optimisation problem is inherently non‐convex, they convert it into a convex problem where the optimal solution is obtained using the Lagrange multipliers method and linear programming. For performance comparison, they consider the classical method based on equal bandwidth allocation for each subchannel. They provide several numerical results to contrast the performance of the proposed method compared to the classical method in terms of the average achievable CR data rate.