Cognitive radio systems specific for IMT systems: Operator's view and perspectives

Telecommunications Policy

Volumn 37, Issue 2-3, 2013, Pages 154-166

  Sayrac, Berna ^a   Uryga, Halina ^b   Bocquet, Wladimir ^b   Cordier, Pascal ^a   Grimoud, Sebastien ^a  

^a ORANGE LABS   (France)

^b Orange France Telecom Group   (France)

Author keywords

Cognitive radio systems; IMT systems; Intra operator scenarios; Radio environmental maps

Indexed keywords

COGNITIVE RADIO SYSTEM (CRS); COMMUNICATION TECHNOLOGIES; ENVIRONMENTAL AWARENESS; ENVIRONMENTAL MAPS; INTERNATIONAL MOBILE TELECOMMUNICATIONS; INTRA-OPERATOR SCENARIOS; SERVICES AND APPLICATIONS; TECHNOLOGY DEVELOPMENT;

COGNITIVE RADIO; COGNITIVE SYSTEMS; WIRELESS NETWORKS;

RADIO SYSTEMS;

EID: 84875965855     PISSN: 03085961     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.telpol.2012.07.004     Document Type: Article

References (35)

1. 3GPP. (2011). TS 37.320. Universal terrestrial radio access (UTRA) and evolved universal terrestrial radio access (E-UTRA); radio measurement collection for minimization of drive tests (MDT); overall description; stage 2.
2. Atanasovski, V., & et. al. (2011). Constructing radio environment maps with heterogeneous spectrum sensors. In: Proceedings of the new frontiers in dynamic spectrum access networks (DySPAN) (pp. 660-661) Retrieved from: 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5936266〉
3. A. Attar, V. Krishnamurthy, and O. Gharehshiran Interference management using cognitive base-stations for UMTS LTE IEEE Communications Magazine 49 8 2011 152 159
4. Ben Hadj Alaya-Feki, A., Sayrac, B., Ben Jemaa, S., & Moulines, E. (2008). Interference cartography for hierarchical dynamic spectrum access. In: Proceedings of the new frontiers in dynamic spectrum access networks (DySPAN) pp.1-5 Retrieved from:〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp= &arnumber=4658246〉.
5. Buddhikot, M. (2007). Understanding dynamic spectrum access: Models, taxonomy and challenges. In: Proceedings of the IEEE symposium on new frontiers in dynamic spectrum access networks (DySPAN) pp. 649-663. Dublin, Ireland Retrieved from: 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp= &arnumber=4221550〉.
6. Cai, T., & et. al. (2011). Design of layered radio environment maps for RAN optimization in heterogeneous LTE systems. In: Proceedings of the 22nd annual IEEE international symposium on personal, indoor and mobile radio communications (PIMRC 2011) pp.172-176. Retrieved from: 〈http://ieeexplore. ieee.org/stamp/stamp.jsp?tp=&arnumber=6139803〉
7. Cisco. (2010). Cisco visual networking index: Global mobile data traffic forecast update, 2009-2014 Retrieved from: 〈http://theruckusroom.typepad. com/files/cisco-rmobile-trends-report.pdf〉
8. Doppler, K., & et. al. (2009). Device-to-device communication as an underlay to LTE advancednetworks. IEEE Communications Magazine, 47 (12), pp. 42-49.
9. ECC/CEPT. (2011). Report 159: Technical and operational requirements for the possible operation of cognitive radio systems in the white spaces of the frequency band 470-790 MHz Retrieved from: 〈http://www.erodocdb.dk/docs/ doc98/official/Pdf/ECCRep159.pdf〉.
10. ETSI RRS. (2011). Use cases for reconfigurable radio systems operating in IMT bands and GSM bands for intra-operator scenarios. TR 103 063 V1.1.1 (2011-07).
11. FCC. (2008). Second report and order and memorandum opinion and order. Retrieved from:〈http://hraunfoss.fcc.gov/edocs-public/attachmatch/FCC-08- 260A1.doc: FCC-08-26〉.
12. Femto Forum. (2010a). The best that LTE can be: Why LTE needs femtocells. White paper Retrieved from: 〈http://www.smallcellforum.org/resources- white-papers〉.
13. Femto Forum. (2010b). The business case for femtocells in the mobile broadband era - Signals research. White paper Retrieved from: 〈http://www.smallcellforum.org/resources-white-papers〉.
14. Grimoud, S., Ben Jemaa, S., Sayrac, B., & Moulines, E. (2010). A REM enabled soft frequency reuse scheme. In: Proceedings of IEEE conference on global communications (GLOBECOM), BWA workshop819-823. Retrieved from: 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5700438〉.
15. Grimoud, S., Sayrac, B., Ben Jemaa, S., & Moulines, E. (2011a). An algorithm for fast REM construction. Proc. of the 2011 sixth international ICST conference on cognitive radio oriented wireless networks and communications (CROWNCOM 2011) (pp. 251-255) Retrieved from: 〈http://ieeexplore.ieee.org/ stamp/stamp.jsp?tp=&arnumber=6030786〉.
16. Grimoud, S., Sayrac, B., Ben Jemaa, S., & Moulines, E. (2011b). Best sensor selection for an iterative REM construction. In: Proceedings of the 2011 IEEE vehicular technology conference (VTC Fall 2011)pp.1-5. Retrieved from: 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6093004〉.
17. GSMA Europe. (2011). Response to the draft RSPG opinion on RSPG opinion on cognitive technologies. Retrieved from: 〈http://rspg.groups.eu.int/ consultations/consultation-cognitiv-2010/gsma-0114.pdf7〉
18. Gueguen, L., & Sayrac, B. (2008). Automatic determination of spectral states for cognitive radio. In: Proceedings of IEEE conference on global communications (GLOBECOM) pp.1-5. Retrieved from: 〈http://ieeexplore.ieee. org/stamp/stamp.jsp?tp=&arnumber=4698378〉.
19. L. Gueguen, and B. Sayrac Radio access technology recognition by classification of low temporal resolution power spectrum measurements Wiley Journal on Wireless Communications and Mobile Computing 10 2009 p. 8.
20. ICT-248351 FARAMIR. (2010). Flexible and spectrum aware radio access through measurements and modelling in cognitive radio systems. Deliverable D2.2 Scenario Definitions. Retrieved from: 〈http://www.ict-faramir.eu/fileadmin/ user-upload/deliverables/FARAMIR-D2.1-Final.pdf〉.
21. ITU. (2010). International telecommunications union, 2012. In: Proceedings of world radio communication conference, agenda and references (Resolutions and Recommendations). pp.15. Retrieved from:〈http://www.itu. int/dms-pub/itu-r/oth/0C/04/R0C040000070001PDFE.pdf〉.
22. ITU-R M.2225. (2011). Introduction to cognitive radio systems in the land mobile service. Report.Retrieved from: 〈http://www.itu.int/dms-pub/itu-r/ opb/rep/R-REP-M.2225-2011-PDF-E.pdf〉
23. ITU-R M.2242. (2011). Cognitive radio systems specific for IMT systems. Report. Retrieved from: 〈http://www.itu.int/dms-pub/itu-r/opb/rep/R-REP-M. 2242-2011-PDF-E.pdf〉
24. ITU-R SM.2152. (2009). Definitions of software defined radio (SDR) and cognitive radio system (CRS). Report. Retrieved from: 〈http://www.itu.int/ dms-pub/itu-r/opb/rep/R-REP-SM.2152-2009-PDF-E.pdf〉
25. F. Leite Regulatory considerations relating to IMT-2000 IEEE Personal Communications 4 4 1997 14 19
26. Mihovska, A., & et. al. (2009). Multi-operator resource sharing scenario in the context of IMT-Advanced systems. In: Proceedings of the second international workshop on cognitive radio and advanced spectrum management (CogART 2009) (pp. 12-16). Retrieved from: 〈http://ieeexplore.ieee.org/ stamp/stamp.jsp?tp=&arnumber=5167225〉
27. Mitola, J. (2000). Cognitive radio, an integrated agent architecture for software defined radio. Sweden: Dissertation, Doctor of Technology, Royal Institute of Technology (KTH).
28. Ofcom. (2010). Consultation on implementing geolocation. Retrieved from 〈http://stakeholders.ofcom.org.uk/binaries/consultations/geolocation/ summary/geolocation.pdf〉.
29. Riihijarvi, J., Mahonen, P., Petrova, M., & Kolar, V. (2009). Enhancing cognitive radios with spatial statistics: From radio environment maps to topology engine. In: Proceedings of the fourth international conference on cognitive radio oriented wireless networks and communications (CROWNCOM '09) pp.1-6. Retrieved from: 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp= &arnumber=5189370〉.
30. Riihijarvi, J., Mahonen, P., Wellens, M., & Gordziel, M. (2008). Characterization and modelling of spectrum for dynamic spectrum access with spatial statistics and random fields. In: Proceedings of the IEEE 19th international symposium on personal, indoor and mobile radio communications (PIMRC 2008) pp.1-6. Retrieved from: 〈http://ieeexplore.ieee.org/stamp/ stamp.jsp?tp=&arnumber=4699912〉.
31. Sallent, O., & et. al. (2009a). Cognitive pilot channel, enabling spectrum awareness. In: Proceedings of the IEEE international conference on communications (ICC) workshops pp.1-6. Retrieved from: 〈http://ieeexplore. ieee.org/stamp/stamp.jsp?tp=&arnumber=5208060〉.
32. Sallent, O., & et. al. (2009b). Cognitive pilot channel: A radio enabler for spectrum awareness and optimized radio resource management. In: Proceedings of ICT-mobilesummit 2009, IIMC international information management corporationpp.1-5. Retrieved from: 〈http://tns.ds.unipi.gr/ktsagkaris/img/ papers/conferences/c39.pdf〉.
33. B. Sayrac From self-organizing to cognitive networks: How can the cellular network operator make use of the cognitive paradigm? H. Venkataraman, M. G.-M, Cognitive radio and its applications for next generation cellular and wireless networks (to be published) 2012 Springer Science and Business Media NY
34. Weiss, M., & Lehr, M. (2009). Market based approaches for dynamic spectrum assignment. Working paper, University of Pittsburgh. Pittsburgh, PA.
35. Zhao, Y., & et. al. (2007). Applying radio environment maps to cognitive wireless regional area networks. In: Proceedings of the new frontiers in dynamic spectrum access networks (DySPAN)pp.115-118. Retrieved from: 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4221484〉.