Home > CSC-OpenAccess Library > Manuscript Information
EXPLORE PUBLICATIONS BY COUNTRIES |
EUROPE | |
MIDDLE EAST | |
ASIA | |
AFRICA | |
............................. | |
United States of America | |
United Kingdom | |
Canada | |
Australia | |
Italy | |
France | |
Brazil | |
Germany | |
Malaysia | |
Turkey | |
China | |
Taiwan | |
Japan | |
Saudi Arabia | |
Jordan | |
Egypt | |
United Arab Emirates | |
India | |
Nigeria |
Optimal Sensing for Opportunistic Spectrum Access in Cognitive Radio
Nasrullah Armi, Naufal M. Saad, M. Zuki Yusoff, Muhammad Arshad
Pages - 243 - 253 | Revised - 30-06-2010 | Published - 10-08-2010
Published in International Journal of Engineering (IJE)
MORE INFORMATION
KEYWORDS
Dynamic spectrum access, Opportunistic spectrum access, Cognitive Radio, POMDP
ABSTRACT
Opportunistic Spectrum Access (OSA) brings new research challenges in MAC protocol design. It allows unlicensed users to share licensed spectrum in space and time with no or little interference to Primary Users (PUs). When designing an OSA MAC protocol, one of the most difficult but important problem is how the unlicensed users decide when and which channel they should sense and access without conflicting the communications among PUs. To solve this problem, the unlicensed users should have the ability of adaptively and dynamically seeking and exploiting opportunities in both licensed and unlicensed spectrum and along both the time and the frequency dimensions. Secondary Users (SUs) as unlicensed users are required to sense radio frequency band, and when PU are detected, they must vacate the channel immediately within certain amount of time. Due to hardware and energy constraints, full spectrum availability cannot be sensed as well as they do not monitor when there is no data to be transmitted. In this paper, we study MAC protocol design and optimal sensing for OSA in Cognitive Radio (CR) ad hoc network under Partially Observable Markov Decision Process (POMDP) algorithm that maximizes achievable throughput for SUs with sufficient protection to PUs. Furthermore, we study tractable greedy algorithm to reduce the complexity of POMDP calculation. The derivation of greedy approach proves that sensing problem can be solved either optimally or approximate the optimal solution. Computer simulation is used to evaluate the performances both of optimal and sub optimal strategy.
1 | Sharma, I., & Singh, G. (2012). A Novel Approach for Spectrum Access Using Fuzzy Logic in Cognitive Radio. International Journal of Information Technology and Computer Science (IJITCS), 4(8), 1. |
A.A.El-Saleh, M.Ismail, M.A.M. Ali, A.N.H. Alnuaimy. “Capacity Optimization for Local and Cooperative Spectrum Sensing in Cognitive Radio Networks”. Intern. Journal of Electronics, Circuits and Systems, Vol.3, 2009. | |
“DARPA: The Next Generation (XG) Program”. http://www.darpa.mil/ato/programs/xg/index.htm | |
E3 Project http://ict-e3.eu | |
I.F. Akyildiz, W.Y. Lee, K.R. Chowdury. “CRAHNs: Cognitive Radio Ad Hoc Networks”. Journal of Ad Hoc Networks, p.810-836, ScienceDirect, 2009. | |
I.F. Akyildiz, W.Y. Lee, M.C. Vuran, M. Shantidev. “Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: a survey”. Computer Network Journal (Elsevier), Vol.50, Issue 13, p.2127-2159, 2006. | |
J.Huang, R.A.Berry, and M.L.Honig. “Spectrum Sharing with Distributed Interference Compensation”. In Proc. IEEE Int. Symp. On New Fontiers in Dynamic Spectrum Access Networks, p.88-93 Nov.2005. | |
J.Mitola. “Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio”. PhD Dissertation, Royal Inst. Tech. (KTH), Stockholm, Sweden, 2000. | |
K.Lee, A.Yener. “Throughput Enhancing Cooperative Spectrum Sensing Strategies for Cognitive radios”. Proc. of ACSSC, p. 2045-2049, Nov. 2007. | |
L.Xu, R.Tonjes, T.Paila, W.Hansmann, M.Fank and M.Albrecht. “DRiVE-ing to The Internet: Dynamic Radio for IP Services in Vehicular Environtments’’. In Proc. 25th Annual Conf. on LCN, USA, 2000. | |
M.Buddhikot, P.Kolodzy, S Miller, K.Ryan and J.Evans. “DIMSUMnet: New Directions in Wireless Networking Using Coordinated Dynamic Spectrum Access”. IEEE WoWMoM05, June 2005 | |
Q.Zhao, B.M.Sadler. “A Survey of Dynamic Spectrum Access”. IEEE Signal Pocessing Mag, Vol.2. No.3, pp. 79-89, 2007. | |
Q.Zhao, L.Tong, A.Swami, Y.Chen. “Decentralized Cognitive MAC for Opportunistic Spectrum Access in Ad Hoc Network: A POMDP Framework”. IEEE J, Selected Areas Comm. Vol.25 No.3, p.589-600, 2007 | |
R.Etkin, A.Parekh, and D.Tse. “Spectrum Sharing for Unlicensed Bands”. IEEE J.Sel. Areas Communication. Vol.25, No.3, pp.517-528, April 2007. | |
R.Smallwood and E.Sondik. “The Optimal Control of Partially Observable Markov Processes over Finite Horizon”. Operation Research, Vol.21 No.5, p.1071-1088. 1973. | |
S.Geirhofer, L.Tong, B.M.Sadler. “Cognitive Medium Access: Constraining Interference based on Experimental Models”. IEEE Journal, Selected Areas Comm. Vol.26 No.1, p.95-105, 2008. | |
Y.C. Liang, Y.Zeng, E.Peh, A.T.Hoang. “Sensing-Throughput Tradeoff for Cognitive Radio Networks”. IEEE Transaction on Wireless Communication, Vol.7 No.4, p. 1326-1337, 2008 | |
Mr. Nasrullah Armi
- Malaysia
armi@ppet.lipi.go.id
Mr. Naufal M. Saad
- Malaysia
Mr. M. Zuki Yusoff
- Malaysia
Mr. Muhammad Arshad
- Malaysia
|
|
|
|
View all special issues >> | |
|
|