Cross-Layer Resource Allocation for Mixed Services in Multiuser OFDM-Based Cognitive Radio Systems

• Published in: IEEE transactions on vehicular technology Vol. 58; no. 8; pp. 4605 - 4619
• Main Authors: Yonghong Zhang, Leung, C.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Applied sciences; Availability; Bit error rate; Chromium; Cognitive radio; Cognitive radio (CR); cross layer; Dynamical systems; Dynamics; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Frequency division multiplexing; goal programming; Information, signal and communications theory; Interference; Mathematical analysis; Multiplexing; multiuser orthogonal frequency-division multiplexing (OFDM); non real time (NRT); OFDM; OFDMA; Operation, maintenance, reliability; Operation. Load control. Reliability; Orthogonal Frequency Division Multiplexing; Physical layer; Power networks and lines; Quality of service; Radio; Radiocommunication specific techniques; Radiocommunications; real time (RT); Resource allocation; resource allocation (RA); Resource management; Signal and communications theory; Studies; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Resource allocation; Frequency division multiple access; non real time (NRT); resource allocation (RA); Goal programming; cross layer; Traffic control; multiuser orthogonal frequency-division multiplexing (OFDM); OFDMA; Queue; Availability; Multiple access; Cognitive radio (CR); Teletraffic; Algorithm; Cognitive system; real time (RT); Queueing system; Traffic management; User requirement; Orthogonal frequency division multiplexing; System simulation; Feasibility; Resource management; Service quality; Software radio
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2009.2020801

We study the resource-allocation problem in a multiuser orthogonal frequency-division multiplexing (OFDM)-based cognitive radio (CR) system using a cross-layer approach. The goal is to provide satisfactory quality of service (QoS) to both real-time and non-real-time applications, despite the rapid variations in available resources caused by the activities of the primary users. The dynamic nature of the available spectrum gives rise to two resource allocation issues: 1) problem feasibility and 2) false urgency. To solve the problem-feasibility issue, which arises when resources are insufficient to meet all user QoS requirements, we adopt a goal-programming approach. The false-urgency issue that was caused by variations in available system resources is effectively avoided by a proposed rate-requirement calculation mechanism based on the status of the packets in queue and system resource availability. Simulation results show that the proposed cross-layer resource-allocation algorithm for CR systems performs better than existing algorithms that were designed for multiuser OFDM systems.