多運(yùn)營(yíng)商頻譜共享模型和租賃策略
doi: 10.11999/JEIT160471
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1.
(南京郵電大學(xué)江蘇省無線通信重點(diǎn)實(shí)驗(yàn)室 南京 210003) ②(東南大學(xué)移動(dòng)通信國(guó)家重點(diǎn)實(shí)驗(yàn)室 南京 210003)
國(guó)家自然科學(xué)基金(61372125);國(guó)家973計(jì)劃項(xiàng)目(2013CB329104);東南大學(xué)移動(dòng)通信國(guó)家重點(diǎn)實(shí)驗(yàn)室開放研究基金(2013D01);江蘇省高校自然科學(xué)研究面上項(xiàng)目(14KJB510026)
Spectrum Sharing Model and Leasing Strategy for Multiple Operators
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1.
(Wireless Communication Key Laboratory of Jangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
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)
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摘要: 傳統(tǒng)的靜態(tài)頻譜分配方式難以適應(yīng)未來無線通信業(yè)務(wù)的發(fā)展需求,可能導(dǎo)致運(yùn)營(yíng)商業(yè)務(wù)和用戶服務(wù)質(zhì)量受到限制。針對(duì)此問題,該文建立了一個(gè)包括頻譜租賃服務(wù)平臺(tái)層、運(yùn)營(yíng)商層及用戶層的多運(yùn)營(yíng)商頻譜共享模型。在該模型中,多個(gè)A類運(yùn)營(yíng)商將其多余頻譜放置在頻譜租賃服務(wù)平臺(tái),供B類運(yùn)營(yíng)商租賃,B類運(yùn)營(yíng)商與多個(gè)A類運(yùn)營(yíng)商既競(jìng)爭(zhēng)用戶又共享部分頻譜。該文形成了以各類運(yùn)營(yíng)商利潤(rùn)最大化為優(yōu)化目標(biāo),以A類運(yùn)營(yíng)商的頻譜出租量和B類運(yùn)營(yíng)商租賃的頻譜種類及數(shù)量為優(yōu)化變量的最優(yōu)化問題,并求得最優(yōu)解。仿真結(jié)果表明,所提策略在保證用戶服務(wù)質(zhì)量(QoS)的同時(shí),顯著提高頻譜資源利用率,并使運(yùn)營(yíng)商利潤(rùn)大幅增加。
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關(guān)鍵詞:
- 頻譜共享 /
- 頻譜租賃服務(wù)平臺(tái) /
- 運(yùn)營(yíng)商 /
- 頻譜租賃 /
- 頻譜利用率
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.-
Key words:
- Spectrum sharing /
- Spectrum leasing platform /
- Operators /
- Spectrum leasing /
- Spectrum efficiency
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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. 劉勤, 李紅霞, 李釗, 等. 基于認(rèn)知的LTE系統(tǒng)動(dòng)態(tài)頻譜分配[J]. 電子與信息學(xué)報(bào), 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. 黎文邊, 林粵偉, 王小猛, 等. 認(rèn)知無線網(wǎng)絡(luò)中基于微觀經(jīng)濟(jì)學(xué)的動(dòng)態(tài)頻譜管理算法[J]. 電子與信息學(xué)報(bào), 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. 淺談跨運(yùn)營(yíng)商同優(yōu)先級(jí)頻譜共享[J]. 郵電設(shè)計(jì)技術(shù), 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. -
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