A new sensing‐throughput tradeoff scheme in cooperative multiband cognitive radio network
Author:
- 13 May 2014
- journal article
- research article
- Published by Wiley in International Journal of Network Management
- Vol. 24 (3) , 200-217
Abstract
SUMMARY: A conventional cognitive radio network (CRN) uses the spectrum of the licensed primary network (PN) on the premise of detecting the absence of the PN by the spectrum sensing of the sensor node (SN). In this paper, a cooperative multiband CRN is considered, wherein the SNs are allowed to use some time of the transmission slot to relay PN data by cooperative communication, while using the remaining time of the transmission slot to forward its own data, over multiple sub‐bands during each frame, if the presence of PN is detected by cooperative spectrum sensing of the SNs in the sensing slot. A new sensing–throughput tradeoff scheme is formulated as a multi‐variable optimization problem, which maximizes the average aggregate throughput of the CRN over all the sub‐bands by jointly optimizing spectrum sensing time and sub‐band transmission power, subject to the constraints on the average aggregate throughput of the PN, the maximal aggregate power of each SN, and the false alarm and detection probabilities of each sub‐band. The bi‐level optimization method is adopted to obtain the optimal solution by dividing the multi‐variable optimization problem into two convex single‐variable sub‐optimization problems. The simulations show that there exists the optimal sensing time and sub‐band transmission power that maximize the average aggregate throughput of the CRN and, compared with the conventional scheme, the throughput obtained by the proposed scheme is outstanding. Copyright © 2014 John Wiley & Sons, Ltd.Keywords
This publication has 25 references indexed in Scilit:
- A utility‐based load‐balancing scheme with guarantee of users' rate for LTE self‐organization networksInternational Journal of Network Management, 2013
- Optimal Periodic Cooperative Spectrum Sensing Based on Weight Fusion in Cognitive Radio NetworksSensors, 2013
- Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor NetworksSensors, 2013
- Game-based cross-layer channel allocation with SVC-encoded multimedia streams in cognitive radio networksInternational Journal of Network Management, 2012
- Evaluation of signalling loads in a cognitive network management architectureInternational Journal of Network Management, 2011
- An Adaptive Cooperative Spectrum Sensing Scheme Using Reinforcement Learning for Cognitive Radio Sensor NetworksIEICE Transactions on Communications, 2011
- Multi‐objective optimization for channel allocation in mobile computing using NSGA‐IIInternational Journal of Network Management, 2010
- Cooperative Diversity in Wireless Networks: Efficient Protocols and Outage BehaviorIEEE Transactions on Information Theory, 2004
- The End of Spectrum ScarcityIEEE Spectrum, 2004
- Cognitive radio: making software radios more personalIEEE Wireless Communications, 1999