Survey of outdoor and indoor architecture design in TVWS networks

doi:10.1016/S1005-8885(17)60239-5

中国邮电高校学报(英文) ›› 2017, Vol. 24 ›› Issue (6): 24-38.doi: 10.1016/S1005-8885(17)60239-5

Survey of outdoor and indoor architecture design in TVWS networks

Yang Jingmin1, Zhang Wenjie1, Zou Fumin2

1. 闽南师范大学
2. 福建工程学院

收稿日期:2017-03-14 修回日期:2017-06-16 出版日期:2017-12-30 发布日期:2017-12-01
通讯作者: jingmin YANG E-mail:yjm4201@163.com
基金资助:
the Scientific Research Foundation for the Returned Overseas Chinese Scholars, the Cooperative Education Project of Ministry of Education (201602012019, 201602021032), the Program for Excellent Talents of Fujian Province, the Special Research Fund for Higher Education of Fujian (JK2015027), the New Century and Excellent Talents Support Programs of Minnan Normal University (MX1602, MJ14006).

Survey of outdoor and indoor architecture design in TVWS networks

Yang Jingmin1, Zhang Wenjie1, Zou Fumin2

1. 闽南师范大学 2. 福建工程学院

Received:2017-03-14 Revised:2017-06-16 Online:2017-12-30 Published:2017-12-01
Contact: jingmin YANG E-mail:yjm4201@163.com
Supported by:
the Scientific Research Foundation for the Returned Overseas Chinese Scholars, the Cooperative Education Project of Ministry of Education (201602012019, 201602021032), the Program for Excellent Talents of Fujian Province, the Special Research Fund for Higher Education of Fujian (JK2015027), the New Century and Excellent Talents Support Programs of Minnan Normal University (MX1602, MJ14006).

摘要/Abstract

摘要： To understand the utilizability of TV white spaces (TVWS), a comprehensive overview of the outdoor and indoor network design over TVWS is given. The related challenges are analyzed. The potential approaches to overcoming these challenges are discussed. The open research issues are investigated. The result shows that: in the indoor scenario, the white space ratio is on average 18.4% higher than that in the outdoor scenario, which corresponds to 7.7 vacant TV channels. Both network design includes 7 key components: TV spectrum identification, access point (AP) discovery, AP association, spectrum allocation, band width adaptation, interface control and disruption handling. Due to building penetration loss, the indoor TVWS identification and AP placement should be carefully considered in the indoor scenario.

关键词: TVWS, network design, identification, access point discovery, spectrum allocation

Abstract: To understand the utilizability of TV white spaces (TVWS), a comprehensive overview of the outdoor and indoor network design over TVWS is given. The related challenges are analyzed. The potential approaches to overcoming these challenges are discussed. The open research issues are investigated. The result shows that: in the indoor scenario, the white space ratio is on average 18.4% higher than that in the outdoor scenario, which corresponds to 7.7 vacant TV channels. Both network design includes 7 key components: TV spectrum identification, access point (AP) discovery, AP association, spectrum allocation, band width adaptation, interface control and disruption handling. Due to building penetration loss, the indoor TVWS identification and AP placement should be carefully considered in the indoor scenario.

Key words: TVWS, network design, identification, access point discovery, spectrum allocation

中图分类号:

TP393

Yang Jingmin1, Zhang Wenjie1, Zou Fumin2. Survey of outdoor and indoor architecture design in TVWS networks[J]. JOURNAL OF CHINA UNIVERSITIES OF POSTS AND TELECOM, 2017, 24(6): 24-38.

参考文献

1. Third memorandum opinion and order. FCC 12-36. Washington, DC, USA: Federal Communications Commission, 2012

2. Masonta M T, Mzyece M, Ntlatlapa N. Spectrum decision in cognitive radio networks: a survey. IEEE Communications Surveys and Tutorials, 2013, 15(3): 1088-1107

3. Calabrese M. Measuring TV ‘white space’ available for unlicensed wireless broadband. Washington, DC, USA: New America Foundation, 2006

4. Statement on cognitive access to interleaved spectrum. London, UK: OFCOM, 2009

5. McHenry M A, Tenhula P A, McCloskey D, et al. Chicago spectrum occupancy measurements analysis and a long-term studies proposal. Proceedings of the 1st International Workshop on Technology and Policy for Accessing Spectrum (TAPAS’06), Aug 5, 2006, Boston, MA, USA. New York. USA: ACM, 2006: Article 1/1-12

6. Islam M H, Koh C L, Oh S W, et al. Spectrum survey in Singapore: occupancy measurements and analyses. Proceedings of the 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom’08), May 15-17, 2008, Singapore. Piscataway, NJ, USA: IEEE, 2008: 7p

7. Chao L, Chen M. Exploring white space in metropolises: a measurement study in Hong Kong. Hong Kong, China: The Chinese University of Hong Kong, 2011

8. Rappaport T S. Wireless Communications: principles and practice. Upper Saddle River, NJ, USA: Prentice Hall, 2002

9. Riback M, Medbo J, Berg J E, et al. Carrier frequency effects on path loss. Proceedings of the 63rd Vehicular Technology Conference (VTC-Spring’06): Vol 6, Mar 7-10, 2006, Melbourne, Australia. Piscataway, NJ, USA: IEEE, 2006: 2717-2721

10. Kang K M, Jeong B J. TV band device for TV white space field trial. Proceedings of the 2004 IEEE International Conference on Consumer Electronics (ICCE’14), Jan 10-13, 2014, Las Vegas, NV, USA. Piscataway, NJ, USA: IEEE, 2014: 450-451

11. TVWS: unlicensed access spectrum in sub-700 MHz band. White Paper. Markham, Canada: Telesystem Innovations Inc, 2010

12. Seidel S Y, Rappaport T S, Feuerstein MJ, et al. The impact of surrounding buildings on propagation for wireless in-building personal communications system design. Proceedings of the 42nd Vehicular Technology Conference (VTC’92): Vol 2, May 10-13, 1992, Denver, CO, USA. Piscataway, NJ, USA: IEEE, 1992: 814-818

13. Borth D, Ekl R, Oberlies B. Considerations for successful cognitive radio systems in US TV white space. Proceedings of the 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN’08), Oct 14-17, 2008, Chicago, IL, USA. Piscataway, NJ, USA: IEEE, 2008: 5p

14. Bahl P, Chandra R, Moscibroda T, et al. White space networking with Wi-Fi like connectivity. ACM SIGCOMM Computer Communication Review, 2009, 39 (4): 27-38

15. Feng X J, Zhang J, Zhang Q. Database-assisted multi-AP network on TVWS: architecture, spectrum allocation and AP discovery. Proceedings of the 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN’11), May 3-6, 2011, Aachen, Germany. Piscataway, NJ, USA: IEEE, 2011: 265-276

16. Deb S, Gupta P, Nagaraj K, et al. An agile and efficient MAC for wireless access over TV whitespaces. IEEE Transactions on Mobile Computing, 2015, 14(1): 42-57

17. Zhou R G, Xiong Y P, Xing G L, et al. ZiFi: wireless LAN discovery via Zigbee interference signatures. Proceedings of the 16th Annual International Conference on Mobile Computing and networking (MobiCom’10), Sept 20-24, 2010, Chicago, IL, USA. New York, NY, USA: ACM, 2010: 49-60

18. Implementing geolocation. London, UK: OFCOM, 2010

19. Liu X, Sheth A, Kaminsky M, et al. Pushing the envelope of indoor wireless spatial reuse using directional access points and clients. Proceedings of the 16th Annual International Conference on Mobile Computing and Networking (MobiCom’10), Sept 20-24, 2010, Chicago, IL, USA. New York, NY, USA: ACM, 2010: 209-220

20. He Y, Perkins D, Velaga S. Design and implementation of CLASS: a cross-layer association scheme for wireless mesh networks. Ad Hoc Networks, 2011, 9(8): 1476-1488

21. Koutsopoulos I, Tassiulas L. Joint optimal access point selection and channel assignment in wireless networks. EEE/ACM Transactions on Networking, 2007, 15(3): 521-532

22. Li L, Pal M, Yang Y R. Proportional fairness in multi-rate wireless LANs. Proceedings of the 27th Annual Joint Conference of the IEEE Computer and Communications (INFOCOM’08), Apr 13-18, 2008, Phoenix, AZ, USA. Piscataway, NJ, USA: IEEE, 2008: 1004-1012

23. Audhya G K, Sinha K, Ghosh S C, et al. A survey on the channel assignment problem in wireless networks. Wireless Communications and Mobile Computing, 2011, 11(5): 583-609

24. Cao L L, Zheng H T. Distributed rule-regulated spectrum sharing. IEEE Journal on Selected Areas in Communications, 2008, 26(1): 130-145

25. Jiang, C K, Duan L J, Huang J W. Optimal pricing and admission control for heterogeneous secondary users. IEEE Transactions on Wireless Communications, 2016, 15(8): 5218-5230

26. Luo Y, Gao L, Huang J W. Price and inventory competition in oligopoly TV white space markets. IEEE Journal on Selected Areas in Communications, 2015, 33(5): 1002-1013

27. Ilyas Z, Ghafoor A, Hussain S. A database assisted quality of service and pricing based spectrum allocation framework for TVWS. Wireless Personal Communications, 2017, 92(4): 1493-1509

28. Chandra R, Mahajan R, Moscibroda T, et al. A case for adapting channel width in wireless networks. ACM SIGCOMM Computer Communication Review, 2008, 38(4): 135-146

29. Gummadi R, Patra P, Balakrishnan H, et al. Interference avoidance and control. Proceedings of the 7th ACM Workshop on Hot Topics in Networks (HotNets’08), Oct 6-7, 2008, Calgary, Canada. New York, NY, USA: ACM, 2008: 6p

30. Yuan Y, Bahl P, Chandra R, et al. Allocating dynamic time-spectrum blocks in cognitive radio networks. Proceedings of the 8th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC’07), Sept 9-14, 2007, Montreal, Canada. New York, NY, USA: ACM, 2007: 130-139.

31. Ghosh C, Roy S, Cavalcanti D. Coexistence challenges for heterogeneous cognitive wireless networks in TVWS. IEEE Wireless Communications, 2011, 18(4): 22-31

32. Deb S, Srinivasan V, Maheshwari R. Dynamic spectrum access in DTV whitespaces: design rules, architecture and algorithms. Proceedings of the 15th Annual International Conference on Mobile Computing and Networking (MobiCom’09), Sept 20-25, 2009, Beijing, China. New York, NY, USA: ACM, 2009: 12p

33. Fette B A. Cognitive radio technology. Amsterdam, Netherlands: Elsevier, 2006.

34. Jing X P, Raychaudhuri D. Spectrum coexistence of IEEE 802.l1b and 802.16a networks using reactive and proactive etiquette policies. Mobile Networks and Applications, 2006, 11(4): 539-554

35. Kim H, Shin K G. Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Transactions on Mobile Computing, 2008, 7(5): 533-545

36. Gamarra E O, Zander J. Short range white space utilization in broadcast systems for indoor environments. Proceedings of the 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN’10), Apr 6-9, 2010, Singapore. Piscataway, NJ, USA: IEEE, 2010: 6p

37. Nekovee, M. Quantifying and availability of TV whtie spaces for cognitive radio operation in the UK. Proceedings of the 2009 IEEE International Conference on Communications Workshops (ICCW’09), Jun 14-18, 2009, Dresden, Germany. Piscataway, NJ, USA: IEEE, 2009 :5p

38. Ying X H, Zhang J C, Yan L C, et al. Exploring indoor white spaces in metropolises. Proceedings of the 16th Annual International Conference on Mobile Computing and Networking (MobiCom’13), Sept 30-Oct 4, 2013, Miami, FL, USA. New York, NY, USA: ACM, 2013: 255-266

39. Chowdhury K, Doost-Mohammady R, Meleis W, et al. Cooperation and communication in cognitive radio networks based on TV spectrum experiments. Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM’11), Jun 20-24, 2011, Lucca, Italy. Piscataway, NJ, USA: IEEE, 2011, 127: 9p

40. Kim Y, de Veciana G. Joint network capacity region for cognitive networks heterogeneous environments and RF-environment awareness. IEEE Journal on Selected Areas in Communications, 2011, 29(2): 407-420

41. Klepeis N E, Nelson W C, Ott W R, et al. The national human activity pattern survey (NHAPS): a resource for assessing exposure to environmental pollutants. Journal of Exposure Analysis and Environmental Epidemiology, 2001, 11(3): 231-252

42. Chandrasekhar V, Andrews J G, Gatherer A. Femtocell networks: a survey. IEEE Communications Magazine, 2008, 46(9): 59-67

43. Kawade S, Nekovee M. Wireless options for high data-rate indoor users: Cognitive access to TV white space. Proceedings of the 1st UK-India International Workshop on Cognitive Wireless Systems (UKIWCWS’10), Dec 10-12, 2009, Delhi, India. Piscataway, NJ, USA: IEEE, 2009: 6p

44. Radunovic B, Gunawardena D, Key P, et al. Rethinking indoor wireless mesh design: low power, low frequency, full-duplex. Proceedings of the 5th IEEE Workshop on Wireless Mesh Network (WiMesh’10), Jun 21, 2010, Boston, MA, USA. Piscataway, NJ, USA: IEEE, 2010: 6p

45. Padhye J, Agarwal S, Padmanabhan V N, et al. Estimation of link interference in static multi-hop wireless networks. Proceedings of the 5th ACM SIGCOMM Conference on Internet Measurement (IMC’05), Oct 19-21, 2005, Berkeley, CA, USA. Berkeley, CA, USA: USENIX Association, 2005: 305-310

46. Robinson J, Singh M, Swaminathan R, et al. Deploying mesh nodes under non-uniform propagation. Proceedings of the 29th Annual Joint Conference of the IEEE Computer and Communications (INFOCOM’10), Mar 14-19, 2010, San Diego, CA, USA. Piscataway, NJ, USA: IEEE, 2010: 9p

47. Novillo F, Galeana H, Ferrus R, et al. Spectrum availability in indoor locations for opportunistic spectrum access in dense urban scenarios. Proceedings of the 69th Vehicular Technology Conference (VTC-Spring’09), Apr 26-29, 2009, Barcelona, Spain. Piscataway, NJ, USA: IEEE, 2009: 5p

48. Ho M J, Berber S M, Sowerby K W. Reusability of primary spectrum in buildings for cognitive radio systems. Proceedings of the Virginia Tech Symposium on Wireless Personal Communications, Jun 1-3, 2011, Blacksburg, VA, USA. 2011

49. Cao H W, Zhao Z, Ni W T, et al. Measurement and ray-tracing of wideband indoor channel in UHF TV white space. Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management (CogART’11), Oct 26-29, 2011, Barcelona, Spain. New York, NY, USA: ACM, 2011: 5p

50. Wellens M, Wu J, Mahonen P. Evaluation of spectrum occupancy in indoor and outdoor scenario in the context of cognitive radio. Proceedings of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCon’07), Aug 1-3, 2007, Orlando, FL, USA. Piscataway, NJ, USA: IEEE, 2007: 420-427

51. Meshkova E, Ansari J, Denkovski D, et al. Experimental spectrum sensor testbed for constructing indoor radio environmental maps. Proceedings of the 2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN’11), May 3-6, 2011, Aachen, Germany. Piscataway, NJ, USA: IEEE, 2011: 603-607

52. Chowdhury K, Doost-Mohammady R, Meleis W, et al. Cooperation and communication in cognitive radio networks based on TV spectrum experiments. Proceedings of the 2011 IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM’11), Jun 20-24, 2011, Lucca, Italy. Piscataway, NJ, USA: IEEE, 2011, 127: 9

53. Obregon R, Shi L, Ferrer J, et al. Experimental verification of indoor TV white space opportunity prediction model. Proceedings of the 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCon’10), Jun 9-11, 2010, Cannes, France. Piscataway, NJ, USA: IEEE, 2010: 5p

54. Bedogni L, Felice M D, Malabocchia F, et al. Indoor communication over TV gray spaces based on spectrum measurement. Proceedings of the 2014 IEEE Wireless Communications and Networking Conference (WCNC’14), Apr 6-9, 2014, Istanbul, Turkey. Piscataway, NJ, USA: IEEE, 2014: 3218-3223

55. Liu D X, Wu F, Kong L H, et al. Training-free indoor white space exploration. IEEE Journal on Selected Areas in Communications, 2016, 34(10): 2589-2604

56. Zhang J C, Zhang W J, Chen M H, et al. WINET: indoor white space network design. Proceedings of the 2015 IEEE Conference on Computer Communications (INFOCOM’15), Apr 26-May 1, 2015, Hong Kong, China. Piscataway, NJ, USA: IEEE, 2015: 630-638

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Survey of outdoor and indoor architecture design in TVWS networks

Survey of outdoor and indoor architecture design in TVWS networks

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