Fair Resource Allocation in Downlink OFDM-Based Cognitive Radio Networks Conference Paper uri icon

abstract

  • © 2017 IEEE. This work investigates the downlink resource allocation (RA) problem in orthogonal frequency division multiplexing (OFDM)-based cognitive radio networks. The objective of this work is to develop a fair RA-Algorithm that maximizes the capacity of secondary users (SUs) and in the same time limits the interference caused to the primary users. The fairness condition is formulated as a minimal data condition at SUs. A relaxed version of the RA-problem is first reviewed without adopting the fairness and then a heuristic algorithm is proposed based on the results obtained for the relaxed problem. Computer simulation results illustrate that the proposed heuristic algorithm can achieve near-optimal performance.

author list (cited authors)

  • Wang, X. u., Ekin, S., Qaraqe, K., & Serpedin, E.

citation count

  • 0

publication date

  • July 2017

publisher