Resource Allocation with Flexible Channel Cooperation in Cognitive Radio Networks

摘要: We study the resource allocation problem in an OFDMA-based cooperative cognitive radio network, where secondary users relay data for primary order to gain access spectrum. In light of user and channel diversity, we first propose FLEC, a novel flexible cooperation scheme. It allows freely optimize use channels transmitting along with their own, maximize performance. Further, formulate unifying optimization framework based on Nash bargaining solutions fairly efficiently allocate resources between networks, both decentralized centralized settings. present optimal distributed algorithm suboptimal heuristic, verify effectiveness via realistic simulations. Under same framework, also conventional identical as performance benchmark, algorithms solve corresponding problems.