Joint Resource Allocation and Interference Avoidance With Fairness Consideration for Multi-Cell Cognitive Radio Networks

Provided by: University of Education, Schwäbisch Gmünd
Topic: Mobility
Format: PDF
This paper presents a joint resource allocation and interference avoidance algorithm for uplink transmissions in a multi-cell Cognitive Radio Network (CRN), which overlays with a multi-cell Primary Network (PN). The authors consider a primary willingness based coexistent architecture. Primary base stations will broadcast pilot signals and interference margins to the CRN for interference channel evaluation and power control. The objective of the algorithm is to maximize the sum rate of cognitive radio cells without causing unacceptable interference to primary receivers, where Lagrangian duality based technique has been utilized to solve the maximization problem and jointly allocate the sub-channels and power for each user.

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