Spectrum Sharing Model and Leasing Strategy for Multiple Operators

XU Linlin; ZHU Xiaorong

doi:10.11999/JEIT160471

Volume 39 Issue 3

Mar. 2017

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(3): 582-589

XU Linlin, ZHU Xiaorong. Spectrum Sharing Model and Leasing Strategy for Multiple Operators[J]. Journal of Electronics & Information Technology, 2017, 39(3): 582-589. doi: 10.11999/JEIT160471

Citation:

XU Linlin, ZHU Xiaorong. Spectrum Sharing Model and Leasing Strategy for Multiple Operators[J]. Journal of Electronics & Information Technology, 2017, 39(3): 582-589. doi: 10.11999/JEIT160471

XU Linlin, ZHU Xiaorong. Spectrum Sharing Model and Leasing Strategy for Multiple Operators[J]. Journal of Electronics & Information Technology, 2017, 39(3): 582-589. doi: 10.11999/JEIT160471

Citation:

XU Linlin, ZHU Xiaorong. Spectrum Sharing Model and Leasing Strategy for Multiple Operators[J]. Journal of Electronics & Information Technology, 2017, 39(3): 582-589. doi: 10.11999/JEIT160471

PDF( 588 KB)

Spectrum Sharing Model and Leasing Strategy for Multiple Operators

doi: 10.11999/JEIT160471

XU Linlin¹,
ZHU Xiaorong²

1.
(Wireless Communication Key Laboratory of Jangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
2.

Funds:

The National Natural Science Foundation of China (61372125), The National 973 Project of China (2013CB329104), The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (2013D01), The Natural Science Foundation of the Jiangsu Higher Education Institutions of China (14KJB510026)

Received Date: 2016-05-10
Rev Recd Date: 2016-09-30
Publish Date: 2017-03-19

Abstract

Abstract

Traditional static spectrum allocation can not adapt to the future development of wireless communication services, leading to limited profits for operators and poor Quality of Service (QoS) for users. To solve the problem, this paper proposes a three-layer spectrum sharing model including operators, users, and a spectrum leasing platform, where A operators place their excess spectrum in the leasing platform for B operators to lease. This paper considers a situation where multiple operators cooperate to share portions of spectrum but compete to serve users, then the optimal spectrum leasing strategy is studied. The goal of this paper is to find the optimal leasing strategy for both A and B operators to maximize their profits while guaranteeing the QoS for users. Numerical results show that the proposed strategy not only improves the efficiency of spectrum utilization effectively but also shows a big advantage in increasing operators profits.
- Spectrum sharing,
- Spectrum leasing platform,
- Operators,
- Spectrum leasing,
- Spectrum efficiency

FullText(HTML)

References(16)

References

LEAVES P, MOESSNER K, TAFAZOLLI R, et al. Dynamic spectrum allocation in composite reconfigurable wireless networks[J]. IEEE Communications Magazine, 2004, 42(5): 72-81. doi: 10.1109/MCOM.2004.1299346.

刘勤, 李红霞, 李钊, 等. 基于认知的LTE系统动态频谱分配[J]. 电子与信息学报, 2015, 37(1): 175-181. doi:10.11999/ JEIT140001.

LIU Qin, LI Hongxia, LI Zhao, et al. Spectrum allocation for LTE system by exploiting cognitive capability [J]. Journal of Electronics Information Technology, 2015, 37(1): 175-181. doi: 10.11999/JEIT140001.

黎文边, 林粤伟, 王小猛, 等. 认知无线网络中基于微观经济学的动态频谱管理算法[J]. 电子与信息学报, 2009, 31(4): 897-902. doi: 10.3724/SP.J.1146.2007.01890.

LE Vanbien, LIN Yuewei, WANG Xiaomeng, et al. A microeconomics based dynamic spectrum management algorithm for cognitive wireless networks[J]. Journal of Electronics Information Technology, 2009, 31(4): 897-902. doi: 10.3724/SP.J.1146.2007.01890.

DUAN L, GAO L, and HUANG J. Cooperative spectrum sharing: a contract-based approach[J]. IEEE Transactions on Mobile Computing, 2014, 13(1): 174-187. doi: 10.1109/TMC. 2012.231.

CHUN S H and LA R J. Secondary spectrum trading: auction-based framework for spectrum allocation and profit sharing[J]. IEEE/ACM Transactions on Networking (TON), 2013, 21(1): 176-189. doi: 10.1109/TNET.2012.2191418.

PANG D, ZHU M, HU G, et al. Spectrum sublet game among secondary users in cognitive radio networks[C]. International Conference on Wireless Algorithms, Systems, and Applications, Qufu, China, 2015: 427-436.

于巧玲, 王江, 徐景. 浅谈跨运营商同优先级频谱共享[J]. 邮电设计技术, 2015, 1(6): 1-4. doi: 10.16463/j.cnki.issn1007- 3043.2015.06.001.

YU Qiaoling, WANG Jiang, and XU Jing. Discussion on inter-operator co-primary spectrum sharing[J]. Designing Techniques of Posts and Telecommunications, 2015, 1(6): 1-4. doi: 10.16463/j.cnki.issn1007-3043.2015.06.001.

MATINMIKKO M, OKKONEN H, PALOLA M, et al. Spectrum sharing using licensed shared access: the concept and its workflow for LTE-advanced networks[J]. IEEE Wireless Communications, 2014, 21(2): 72-79. doi: 10.1109/ MWC.2014.6812294.

ZHU K, HOSSAIN E, and NIYATO D. Pricing, spectrum sharing, and service selection in two-tier small cell networks: a hierarchical dynamic game approach[J]. IEEE Transactions on Mobile Computing, 2014, 13(8): 1843-1856. doi: 10.1109/ TMC.2013.96.

HAMOUDA S, ZITOUN M, and TABBANE S. Win-win relationship between macrocell and femtocells for spectrum sharing in LTE-A[J]. IET Communications, 2014, 8(7): 1109-1116. doi: 10.1049/iet-com.2013.0845.

MAILLE P and TUFFIN B. Price war with partial spectrum sharing for competitive wireless service providers[C]. IEEE Global Telecommunications Conference, Honolulu, Hawaii, USA, 2009: 1-6. doi: 10.1109/GLOCOM.2009.5425725.

LUO Y, GAO L, and HUANG J. Price and inventory competition in oligopoly tv white space markets[J]. IEEE Journal on Selected Areas in Communications, 2015, 33(5): 1002-1013. doi: 10.1109/JSAC.2014.2361093.

BADIA L, LINDSTROM M, ZANDER J, et al. Demand and pricing effects on the radio resource allocation of multimedia communication systems[C]. 2003 IEEE Global Telecommunications Conference, San Francisco, CA, USA, 2003: 4116-4121. doi: 10.1109/GLOCOM.2003.1259002.

Relative Articles

Supplements(0)

Cited By

Proportional views