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Volumn 7, Issue 5, 2013, Pages 480-489

Analytical and learning-based spectrum sensing time optimisation in cognitive radio systems

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL METHOD; ANALYTICAL RESULTS; AVERAGE THROUGHPUT; CONSUMED ENERGY; PRIORI KNOWLEDGE; SPECTRUM SENSING TIME; TRANSMISSION OPPORTUNITIES; WIRELESS ENVIRONMENT;

EID: 84880647146     PISSN: 17518628     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-com.2012.0302     Document Type: Article
Times cited : (11)

References (25)
  • 1
    • 78951495035 scopus 로고    scopus 로고
    • Advances in cognitive radio networks: a survey
    • Wang, B., Liu, K.J.R.: 'Advances in cognitive radio networks: a survey', IEEE J. Sel. Topics Signal Process., 2011, 5, (1), pp. 5-23
    • (2011) IEEE J. Sel. Topics Signal Process. , vol.5 , Issue.1 , pp. 5-23
    • Wang, B.1    Liu, K.J.R.2
  • 2
    • 77952258790 scopus 로고    scopus 로고
    • A survey of artificial intelligence for cognitive radios
    • He, A., Bae, K.K., Newman, T.R., et al.: 'A survey of artificial intelligence for cognitive radios', IEEE Trans. Veh. Technol., 2010, 59, (4), pp. 1578-1592
    • (2010) IEEE Trans. Veh. Technol. , vol.59 , Issue.4 , pp. 1578-1592
    • He, A.1    Bae, K.K.2    Newman, T.R.3
  • 3
    • 79951577034 scopus 로고    scopus 로고
    • Cooperative spectrum sensing in cognitive radio networks: a survey
    • Akyildiz, I.F., Lo, B.F., Balakrishnan, R.: 'Cooperative spectrum sensing in cognitive radio networks: a survey', Phys. Commun., 2001, 4, (1), pp. 40-62
    • (2001) Phys. Commun. , vol.4 , Issue.1 , pp. 40-62
    • Akyildiz, I.F.1    Lo, B.F.2    Balakrishnan, R.3
  • 4
    • 84878667280 scopus 로고    scopus 로고
    • Sensing matrix setting schemes for cognitive networks and their performance analysis
    • Shokri-Ghadikolaei, H., Nasiri-Kenari, M.: 'Sensing matrix setting schemes for cognitive networks and their performance analysis', IET Commun., 6, (7), pp. 3026-3035
    • IET Commun. , vol.6 , Issue.7 , pp. 3026-3035
    • Shokri-Ghadikolaei, H.1    Nasiri-Kenari, M.2
  • 5
    • 46149091216 scopus 로고    scopus 로고
    • Sensing-throughput tradeofffor cognitive radio networks
    • Liang, Y.C., Zeng, Y., Peh, E.C.Y., Hoang, A.T.: 'Sensing-throughput tradeofffor cognitive radio networks', IEEE Trans. Wirel. Commun., 2008, 7, (4), pp. 1326-1337
    • (2008) IEEE Trans. Wirel. Commun. , vol.7 , Issue.4 , pp. 1326-1337
    • Liang, Y.C.1    Zeng, Y.2    Peh, E.C.Y.3    Hoang, A.T.4
  • 8
    • 73449089814 scopus 로고    scopus 로고
    • Optimal spectrum sensing time considering spectrum handoffdue to false alarm in cognitive radio networks
    • Lee, D.J., Jang, M.S.: 'Optimal spectrum sensing time considering spectrum handoffdue to false alarm in cognitive radio networks', IEEE Commun. Lett., 2009, 13, (12), pp. 899-901
    • (2009) IEEE Commun. Lett. , vol.13 , Issue.12 , pp. 899-901
    • Lee, D.J.1    Jang, M.S.2
  • 10
    • 84870567485 scopus 로고    scopus 로고
    • Intelligent sensing matrix setting scheme in cognitive networks
    • Shokri-Ghadikolaei, H., Fallahi, R.: 'Intelligent sensing matrix setting scheme in cognitive networks', IEEE Commun. Letter, 2012, 16, (11), pp. 1824-1827
    • (2012) IEEE Commun. Letter , vol.16 , Issue.11 , pp. 1824-1827
    • Shokri-Ghadikolaei, H.1    Fallahi, R.2
  • 12
    • 0024016062 scopus 로고
    • Neural networks for nonlinear programming
    • Kennedy, M.P., Chua, L.O.: 'Neural networks for nonlinear programming', IEEE Trans. Circuits Syst., 1988, 35, (5), pp. 554-562
    • (1988) IEEE Trans. Circuits Syst. , vol.35 , Issue.5 , pp. 554-562
    • Kennedy, M.P.1    Chua, L.O.2
  • 13
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik, K., Stochcombe, M.,White, H.: 'Multilayer feedforward networks are universal approximators', Neural Netw., 1989, 2, pp. 359-366
    • (1989) Neural Netw. , vol.2 , pp. 359-366
    • Hornik, K.1    Stochcombe, M.2    White, H.3
  • 14
    • 0025627940 scopus 로고
    • Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
    • Hornik, K., Stochcombe, M., White, H.: 'Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks', Neural Netw., 1990, 3, pp. 551-560
    • (1990) Neural Netw. , vol.3 , pp. 551-560
    • Hornik, K.1    Stochcombe, M.2    White, H.3
  • 16
    • 33646928040 scopus 로고    scopus 로고
    • A neural network approach to MMSE receivers in a DS-CDMA multipath fading environment
    • Fantacci, R., Tarch, D., Marini, M., Rabbini, A.: 'A neural network approach to MMSE receivers in a DS-CDMA multipath fading environment', IEEE Trans. Commun., 2006, 54, (5), pp. 778-782
    • (2006) IEEE Trans. Commun. , vol.54 , Issue.5 , pp. 778-782
    • Fantacci, R.1    Tarch, D.2    Marini, M.3    Rabbini, A.4
  • 18
    • 0026896765 scopus 로고
    • Linear and quadratic programming neural network analysis
    • Maa, C., Shanblatt, M.: 'Linear and quadratic programming neural network analysis', IEEE Trans. Neural Netw., 1992, 3, (4), pp. 580-594
    • (1992) IEEE Trans. Neural Netw. , vol.3 , Issue.4 , pp. 580-594
    • Maa, C.1    Shanblatt, M.2
  • 19
    • 84868239142 scopus 로고    scopus 로고
    • Comparative study of energy consumption for wireless sensor networks based on random and grid deployment strategies
    • Monica, M.S., Sharma, A.K.: 'Comparative study of energy consumption for wireless sensor networks based on random and grid deployment strategies', Int. J. Comput. Appl. IJCA, 2010, 6, (1), pp. 28-35
    • (2010) Int. J. Comput. Appl. IJCA , vol.6 , Issue.1 , pp. 28-35
    • Monica, M.S.1    Sharma, A.K.2
  • 20
    • 85084737696 scopus 로고
    • Sensitivity analysis of feedforward artificial neural networks with differentiable activation functions
    • Baltimore, MD, June
    • Hashem, S.: 'Sensitivity analysis of feedforward artificial neural networks with differentiable activation functions'. Proc. IEEE IJCNN, Baltimore, MD, June 1992, vol. 1, pp. 419-424
    • (1992) Proc. IEEE IJCNN , vol.1 , pp. 419-424
    • Hashem, S.1
  • 21
    • 79953894426 scopus 로고    scopus 로고
    • Intelligent cross-layer adaptation scheme for wireless links with QoS-guranteed traffic
    • Tehran, December
    • Abdi, A., Azmi, P.: 'Intelligent cross-layer adaptation scheme for wireless links with QoS-guranteed traffic'. Proc. Fifth Int. Symp. Telecommunications (IST), Tehran, December 2010, vol. 1, pp. 419-424
    • (2010) Proc. Fifth Int. Symp. Telecommunications (IST) , vol.1 , pp. 419-424
    • Abdi, A.1    Azmi, P.2
  • 22
    • 33846902117 scopus 로고    scopus 로고
    • A cross-layered network cadaptive HD video steaming in digital A/V home network: hannel monitoring and video rate adaptation
    • Park, S.H., Yoon, H., Kim, J.W.: 'A cross-layered network cadaptive HD video steaming in digital A/V home network: hannel monitoring and video rate adaptation', IEEE Trans. Consum. Electron., 2006, 52, (4), pp. 1245-1252
    • (2006) IEEE Trans. Consum. Electron. , vol.52 , Issue.4 , pp. 1245-1252
    • Park, S.H.1    Yoon, H.2    Kim, J.W.3
  • 23
    • 85008048349 scopus 로고    scopus 로고
    • IEEE 802.22: the first cognitive radio wireless regional area network standard
    • Stevenson, C.R., Chouinard, G., Lei, W.H.Z., Shellhammer, S.J.: 'IEEE 802.22: the first cognitive radio wireless regional area network standard', IEEE Commun. Mag., 2009, 47, (1), pp. 130-138
    • (2009) IEEE Commun. Mag. , vol.47 , Issue.1 , pp. 130-138
    • Stevenson, C.R.1    Chouinard, G.2    Lei, W.H.Z.3    Shellhammer, S.J.4
  • 24
    • 84898932856 scopus 로고    scopus 로고
    • Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping
    • Caruana, R., Lawrence, S., Giles, L.: 'Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping'. Proc. Neural Inf. Process. Syst., Dec. 2001, pp. 402-408
    • (2001) Proc. Neural Inf. Process. Syst., Dec. , pp. 402-408
    • Caruana, R.1    Lawrence, S.2    Giles, L.3
  • 25
    • 34248636293 scopus 로고    scopus 로고
    • Fast sparse approximation for least square support vector machine
    • Jiao, L., Bo, L., Wang, L.: 'Fast sparse approximation for least square support vector machine', IEEE Trans. Neural Netw., 2007, 18, (3), pp. 685-697
    • (2007) IEEE Trans. Neural Netw. , vol.18 , Issue.3 , pp. 685-697
    • Jiao, L.1    Bo, L.2    Wang, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.