Centralized spectrum leasing via cooperative SU assignment in cognitive radio networks

• Published in: International journal of communication systems 2018-09, Vol.31 (13), p.n/a
• Main Authors: Deng, Hou, Huang, Liusheng, Yang, Chenkai, Xu, Hongli
• Format: Article
• Language: English
• Subjects: centralized spectrum leasing; Channel capacity; Cognitive radio; cognitive radio networks (CRN); Collision dynamics; Computer simulation; cooperative communications (CC); cooperative SU assignment; Leasing; Packet transmission; Performance enhancement; Radio networks; Radio spectra; Relaying; Search algorithms; Spectrum allocation; Wireless networks
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.3726

Summary As the increasing demand of the radio spectrum, the researchers pay more attention to the technology of cognitive radio networks to improve the use of the scarce spectrum resources. Recently, cooperative communications combining with cognitive radio have been proposed in many literatures to improve the channel capacity. The primary users with poor transmission environment transmit their packets with the assistance of the secondary users (SUs) by offering them spectrum resources. This paper first raises issues in existing works, such as non‐optimal selection, selection collision, and transmission interruption. Aiming at these issues, we design a centralized system model and a cooperative relaying protocol for multiple primary user pairs to dynamically lease spectrum in exchange for the transmission assistance of SUs. Then we define 2 problems of the cooperative SU assignment to maximize total rate and maximize number of assigned SUs. We prove they are NP‐hard and propose a local search algorithm for the objective of maximize total rate and a 12‐approximation algorithm for another objective. Our simulation results show that our system and algorithms can effectively improve the performance of the wireless networks. We design a centralized system model and a cooperative relaying protocol for multiple primary user pairs to dynamically lease spectrum in exchange for the transmission assistance of secondary users (SUs). Then 2 algorithms are proposed to obtain the cooperative SU assignment to maximize total rate and maximize number of assigned SUs.