Loading

Resource Allocation and Outage Performance in OFDMA based Cooperative Cognitive Radio Network for Downlink in Underlay Mode
Rupali Sawant1, Shikha Nema2

1Rupali Sawant, as Assistant Professor in Lokmanya Tilak College of Engg, University of Mumbai and currently working toward her PhD degree in SNDT University, Mumbai.
2Dr. Shikha Nema Professor and HOD in Electronics and Communication Department at Usha Mittal Institute of Technology, (UMIT) SNDT University Mumbai.

Manuscript received on September 12, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3735-3740 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26621081219/2019©BEIESP | DOI: 10.35940/ijitee.L2662.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Efficient resource allocation is an important process in any network to improve the capacity of a system. In cognitive radio network the resources are shared among licensed & unlicensed users. User is said to be in outage if it does not get required number of resources hence performance of the system gets affected. In this paper the outage probability in orthogonal frequency division multiple access (OFDMA) based cooperative cognitive radio network (CCRN) system is computed. Due to random user position different users require different number of resources. To determine this it is necessary to know the signal to interference ratio (SIR) experienced by the user. First we determine characteristic of interference to signal power ratio by using method of moments. Once the interference to signal power ratio is characterized, user is allocated a class number. Class number gives the number of subcarriers required by a user. For analysis purpose we use downlink in underlay mode with log normal shadowing and path loss exponent. This analysis helps in allocation of resources to the user depending on SIR experienced and outage behavior irrespective of user’s position.
Keywords: Cognitive Radio, Cooperative Communication, Resource Allocation, Correlated Interference, Outage Probability.
Scope of the Article: Communication