A Novel Resource Allocation Algorithm for Heterogeneous Cooperative Cognitive Radio NetworksResearch Areas : Communication Systems & Devices
Keywords: Cognitive Radio Networks , Cooperative Diversity , Heterogeneous Networks , Resource Allocation,
In cognitive radio networks (CRN), resources available for use are usually very limited. This is generally because of the tight constraints by which the CRN operate. Of all the constraints, the most critical one is the level of permissible interference to the primary users (PUs). Attempts to mitigate the limiting effects of this constraint, thus achieving higher productivity is a current research focus and in this work, cooperative diversity is investigated as a promising solution for this problem. Cooperative diversity has the capability to achieve diversity gain for wireless networks. Thus, in this work, the possibility of and mechanism for achieving greater utility for the CRN when cooperative diversity is incorporated are studied carefully. To accomplish this, a resource allocation (RA) model is developed and analyzed for the heterogeneous, cooperative CRN. In the considered model, during cooperation, a best relay is selected to assist the secondary users (SUs) that have poor channel conditions. Overall, the cooperation makes it feasible for virtually all the SUs to improve their transmission rates while still causing minimal harm to the PUs. The results show a remarkable improvement in the RA performance of the CRN when cooperation is employed in contrast to when the CRN operates only by direct communication.
 F. C. Commission, “Report of spectrum efficiency working group,” 2002, spectrum policy task force, Washington, DC, USA.
 -, “Cognitive radio technologies proceeding," 2003, rep. ET Docket, no. 03-108.
 L. E. Doyle, Essentials of Cognitive Radio, The Cambridge Wireless Essentials Series, New York, USA: Cambridge University Press, 2009.
 M. G. Adian, H. Aghaeinia and Y. Norouzi, “Spectrum Sharing and Power Allocation in MIMO Multi-Band Underlay Cognitive Radio Networks,” IET Communications, vol. 7, no. 11, pp. 1140-1150, 2013.
 M. G. Adian and H. Aghaeinia, “Low Complexity Resource Allocation in MIMO-OFDM based Cooperative Cognitive Radio Networks,” Trans. Emerging Telecommun.s Tech., vol. 27, no. 1, pp. 92-100, 2016.
 M. G. Adian and H. Aghaeinia, “Resource Allocation in MIMO-OFDM Based Cooperative Cognitive Radio Networks: Optimal and Sub-Optimal Low Complexity Approaches,” International J. Commun. Sys., doi: 10.1002/dac.2804, 2014.
 M. G. Adian and H. Aghaeinia, “Optimal Resource Allocation in MIMO-OFDM Based Cooperative Cognitive Radio Networks,” IEEE Transactions on Communications, vol. 62, no. 7, pp. 2224-2235, 2014.
 M. G. Adian and H. Aghaeinia, “Spectrum Sharing and Power Allocation in Multiple-In Multiple-Out Cognitive Radio Networks via Pricing,” IET Communications, vol. 6, no. 16, pp. 2621-2629, 2012.
 M. G. Adian and H. Aghaeinia, “Optimal Resource Allocation in Heterogeneous MIMO Cognitive Radio Networks,” Wireless Personal Communications, vol. 76, no. 1, pp. 23-39, 2014.
 M. G. Adian and H. Aghaeinia, “Optimal Resource Allocation for Opportunistic Spectrum Access in MIMO-OFDM based Cooperative Cognitive Radio Networks,” IET Signal Processing, vol. 7, no. 7, pp. 549-557, 2013.
 S.Wang, M. Ge, and C.Wang, “Efficient resource allocation for cognitive radio networks with cooperative relays,” IEEE J. Sel. Areas in Commun., vol. 31, no. 11, pp. 2432-2441, 2013.
 M. G. Adian and H. Aghaeinia, “Optimal resource allocation for opportunistic spectrum access in MIMO-OFDM based cooperative cognitive radio networks,” IET Signal Processing, vol. 7, no. 7, pp. 549-557, 2013.