TY  - CONF
N2  - The design of optimal sensor operating point in physical layer by considering the impact of the throughput performance in MAC layer is crucial issue. Spectrum sensing action must be performed as quickly as possible to obtain a good throughput performance. However, quick sensing makes the fidelity of sensing outcome becomes low. On the other hand, a long sensing time leads to the low throughput performance. Hence, it is important to find out how secondary users (SUs) in opportunistic spectrum access (OSA) system can improve the throughput performance while maintaining sensing time low. In this paper we study the fundamental design of spectrum sensing and throughput performance for cognitive radio (CR) user with limited sensing capability in OSA system. In the first done, we consider 3 of one slot is allocated for spectrum sensing action and observe the throughput performance by varying the channel measurement sample. The Optimal throughput performance is achieved at certain value of sample number and reduces as increasing it. Subsequently, we observed the throughput performance as a function of spectrum sensing slot allocation as well. Increasing the allocation for spectrum sensing action can degrade the throughput performance. Computer simulations are presented to evaluate the performances. © 2011 IEEE.
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-83655164825&doi=10.1109%2fISWTA.2011.6089555&partnerID=40&md5=2616f67049b258e2521e64b5e5e07fef
CY  - Langkawi
A1  - Armi, N.
A1  - Yusoff, M.Z.
A1  - Saad, N.M.
EP  - 71
Y1  - 2011///
SN  - 9781457714979
TI  - Spectrum sensing and throughput performance in opportunistic spectrum access system
ID  - scholars1438
SP  - 66
KW  - Channel measurements; Cognitive radio; Dynamic spectrum access; Fundamental design; Greedy policy; MAC layer; Operating points; Opportunistic spectrum access; Optimal sensor; Partially observable Markov decision process; Physical layers; Sample number; Slot allocation; Spectrum sensing; Throughput performance
KW  -  Air traffic control; Computer simulation; Markov processes; Network layers; Optimization; Spectroscopy; Wireless telecommunication systems
KW  -  Throughput
N1  - cited By 9; Conference of 2011 IEEE Symposium on Wireless Technology and Applications, ISWTA 2011 ; Conference Date: 25 September 2011 Through 28 September 2011; Conference Code:87834
ER  -