ABSTRACT
In cognitive radio networks, secondary user performs spectrum sensing to detect primary user activities and to access the channel opportunistically. We investigate the problem of developing energy efficient opportunistic spectrum access strategy for a secondary user with energy harvesting capability. We formulate the problem to determine the optimal sensing and access policy as a partially observable Markov decision process (POMDP). Since obtaining the optimal policy is computationally prohibitive, we provide a suboptimal myopic policy that maximizes expected immediate throughput instead of expected total throughput. Simulation results demonstrate that the proposed myopic policy yields improved throughput compared to a random channel selection strategy.
- Y. Chen, Q. Zhao, and A. Swami. Joint design and separation principle for opportunistic spectrum access in the presence of sensing errors. Information Theory, IEEE Transactions on, 54(5):2053--2071, may 2008. Google ScholarDigital Library
- Y. Chen, Q. Zhao, and A. Swami. Distributed spectrum sensing and access in cognitive radio networks with energy constraint. Signal Processing, IEEE Transactions on, 57(2):783--797, feb. 2009. Google ScholarDigital Library
- FCC. Spectrum policy task force, tech. rep. 02--135, et. November 2002.Google Scholar
- S. Gao, L. Qian, and D. Vaman. Distributed energy efficient spectrum access in cognitive radio wireless ad hoc networks. Wireless Communications, IEEE Transactions on, 8(10):5202--5213, october 2009. Google ScholarDigital Library
- A. T. Hoang, Y.-C. Liang, D. Wong, Y. Zeng, and R. Zhang. Opportunistic spectrum access for energy-constrained cognitive radios. Wireless Communications, IEEE Transactions on, 8(3):1206--1211, march 2009. Google ScholarDigital Library
- J. Lei, R. Yates, and L. Greenstein. A generic model for optimizing single-hop transmission policy of replenishable sensors. Wireless Communications, IEEE Transactions on, 8(2):547--551, feb. 2009. Google ScholarDigital Library
- B. Medepally, N. Mehta, and C. Murthy. Implications of energy profile and storage on energy harvesting sensor link performance. In Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE, pages 1--6, 30 2009-dec. 4 2009. Google ScholarDigital Library
- J. Paradiso and T. Starner. Energy scavenging for mobile and wireless electronics. Pervasive Computing, IEEE, 4(1):18--27, jan.-march 2005. Google ScholarDigital Library
- J. A. Paradiso and M. Feldmeier. A compact, wireless, self-powered pushbutton controller. In Proceedings of the 3rd international conference on Ubiquitous Computing, UbiComp '01, pages 299--304, London, UK, UK, 2001. Springer-Verlag. Google ScholarDigital Library
- V. Raghunathan, S. Ganeriwal, and M. Srivastava. Emerging techniques for long lived wireless sensor networks. Communications Magazine, IEEE, 44(4):108--114, april 2006. Google ScholarDigital Library
- F. Simjee and P. Chou. Everlast: Long-life, supercapacitor-operated wireless sensor node. In Low Power Electronics and Design, 2006. ISLPED'06. Proceedings of the 2006 International Symposium on, pages 197--202, oct. 2006. Google ScholarDigital Library
- R. D. Smallwood and E. J. Sondik. The optimal control of partially observable markov processes over a finite horizon. Operations Research, 21(5):1071--1088, 1973.Google ScholarDigital Library
- Q. Zhao, L. Tong, A. Swami, and Y. Chen. Decentralized cognitive mac for opportunistic spectrum access in ad hoc networks: A pomdp framework. Selected Areas in Communications, IEEE Journal on, 25(3):589--600, april 2007. Google ScholarDigital Library
Index Terms
- Energy-efficient opportunistic spectrum access in cognitive radio networks with energy harvesting
Recommendations
Optimal Energy Harvesting-based Weighed Cooperative Spectrum Sensing in Cognitive Radio Network
In cognitive radio (CR) network, to improve spectrum sensing performance to primary user (PU) and decrease energy wastage of secondary user (SU) in cooperative spectrum sensing, an energy harvesting-based weighed cooperative spectrum sensing is proposed ...
Throughput‐delay tradeoff for opportunistic spectrum access in cognitive radio networks
AbstractThe internet of things accelerates the wireless connections of massive devices to provide all kinds of new services, and thus intensifies the spectrum scarcity and access delay. Cognitive radio (CR) technology brings a solution for the issue. As a ...
The authors address the tradeoff between the throughput of cognitive radio network and the delay of secondary user (SU) under a reactive channel handoff based opportunistic spectrum access scenario. The handoff blocking‐then‐reaccess scheme is deeply ...
Distributed spectrum sensing and access in cognitive radio networks with energy constraint
We design distributed spectrum sensing and access strategies for opportunistic spectrum access (OSA) under an energy constraint on secondary users. Both the continuous and the bursty traffic models are considered for different applications of the ...
Comments