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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

03.08.2017

A Survey on Dynamic Spectrum Access for LTE-Advanced

verfasst von: Abdullah Omar Arafat, Akram Al-Hourani, Nazmus S. Nafi, Mark A. Gregory

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

Increasing utilization of LTE-Advanced (LTE-A) to meet the rapid growth in wireless bandwidth demand is an important focus for current research. Dynamic spectrum access (DSA) is a promising approach that can be utilized to improve bandwidth utilization in LTE-A systems and networks. The application of DSA is not limited to commercial use but can also be applied to provide access to other systems including public safety communication systems and device to device communications. This paper provides a general overview of DSA and a review of the recent research into the use of DSA to improve bandwidth utilization in LTE-A networks. DSA is a flexible technique that is being applied to different network technologies including cognitive radio, mobile cellular femtocells and wireless relay.
Vorheriger Artikel Joint Rapid Spectrum Scanning and Signal Feature Recognition Scheme Using Compressed Sensing and Cyclostationary Technologies
Nächster Artikel A Novel Threshold Cryptography with Membership Authentication and Key Establishment

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Literatur
1.
Chvez-Santiago, R., Szydeko, M., Kliks, A., Foukalas, F., Haddad, Y., Nolan, K. E., et al. (2015). 5G: The convergence of wireless communications. Wireless Personal Communications, 83(3), 1617–1642.CrossRef
2.
3.
Budiarjo, I., Lakshmanan, M. K., & Nikookar, H. (2008). Cognitive radio dynamic access techniques. Wireless Personal Communications, 45(3), 293–324.CrossRef
4.
Mitola, J., & Maguire, G. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6(4), 13–18.CrossRef
5.
Sithamparanathan, K., & Giorgetti, A. (2012). Cognitive radio techniques: Spectrum sensing, interference mitigation, and localization. Norwood: Artech House.
6.
Onur, E., Durmus, Y., Hawas, M. G., de Groot, S. M. H., & Niemegeers, I. G. M. M. (2011). Collaborative and cognitive network platforms: Vision and research challenges. Wireless Personal Communications, 58(1), 71–93.CrossRef
7.
Erik Dahlman, S. P., & Skold, J. (2011). 4G LTE/LTE-advanced for mobile broadband, Chapter 7. Academic Press.
8.
Akyildiz, F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006). Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Network, 50(13), 2127–2159.MATHCrossRef
9.
Pursley, M. B., & Royster, T. C. (2007). A protocol suite for cognitive radios in dynamic spectrum access networks. In Cognitive wireless communication networks (pp. 139–163). Berlin: Springer.
10.
Zhao, Q., & Sadler, B. M. (2007). A survey of dynamic spectrum access. IEEE Signal Processing Magazine, 24(3), 79–89.CrossRef
11.
Hossain, E., Niyato, D., & Han, Z. (2009). Dynamic spectrum access and management in cognitive radio networks. Cambridge: Cambridge University Press.CrossRef
12.
Buddhikot, M., Kolodzy, P., Miller, S., Ryan, K., & Evans, J. (2005). Dimsumnet: New directions in wireless networking using coordinated dynamic spectrum. In Sixth IEEE international symposium on a world of wireless mobile and multimedia networks, WoWMoM, pp. 78–85.
13.
Brik, V., Rozner, E., Banerjee, S., & Bahl, P. (2005). DSAP: A protocol for coordinated spectrum access. In First IEEE international symposium on new frontiers in dynamic spectrum access networks, pp. 611–614.
14.
Cao, L., & Zheng, H. (2005). Distributed spectrum allocation via local bargaining. In Second annual IEEE communications society conference on sensor and ad hoc communications and networks, pp. 475–486.
15.
Huang, J., Berry, R., & Honig, M. (2005). Spectrum sharing with distributed interference compensation. In First IEEE international symposium on new frontiers in dynamic spectrum access networks, pp. 88–93.
16.
Huang, J., Zhou, H., Chen, Y., Chen, B., & Kong, R. (2014). Distributed and centralized schemes for channel sensing order setting in multi-user cognitive radio networks. Wireless Personal Communications, 75(2), 1391–1410.CrossRef
17.
Zheng, H., & Cao, L. (2005). Device-centric spectrum management. In First IEEE international symposium on new frontiers in dynamic spectrum access networks, pp. 56–65.
18.
Papadimitratos, P., Sankaranarayanan, S., & Mishra, A. (2005). A bandwidth sharing approach to improve licensed spectrum utilization. IEEE Communications Magazine, 43(12), supl.10–supl.14.CrossRef
19.
Zhao, Q., Tong, L., & Swami, A. (2005). Decentralized cognitive MAC for dynamic spectrum access. In First IEEE international symposium on new frontiers in dynamic spectrum access networks, pp. 224–232.
20.
Stelter, A., Szulakiewicz, P., Kotrys, R., Krasicki, M., & Remlein, P. (2014). Dynamic 20/40/60/80 MHz channel access for 80 MHz 802.11 ac. Wireless Personal Communications, 79(1), 235–248.CrossRef
21.
Tragos, E. Z., Zeadally, S., Fragkiadakis, A., & Siris, V. (2013). Spectrum assignment in cognitive radio networks: A comprehensive survey. IEEE Communications Surveys Tutorials., 15(3), 1108–1135.CrossRef
22.
Benmammar, B., & Amraoui, A. (2013). Dynamic spectrum access, radio resource allocation and dynamic spectrum access (pp. 53–66). Hoboken: Wiley.CrossRef
23.
Benmammar, B., Amraoui, A., & Krief, F. (2013). A survey on dynamic spectrum access techniques in cognitive radio networks. International Journal of Communication Networks & Information Security, 5(2), 68.
24.
Wang, X., Li, Z., Xu, P., Xu, Y., Gao, X., & Chen, H.-H. (2010). Spectrum sharing in cognitive radio networks: An auction-based approach. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 40(3), 587–596.CrossRef
25.
Parzy, M., & Bogucka, H. (2011). Non-identical objects auction for spectrum sharing in TV white spaces—The perspective of service providers as secondary users. In IEEE symposium on new frontiers in dynamic spectrum access networks (DySPAN), pp. 389–398.
26.
Bogucka, H., Parzy, M., Marques, P., Mwangoka, J., & Forde, T. (2012). Secondary spectrum trading in TV white spaces. IEEE Communications Magazine, 50(11), 121–129.CrossRef
27.
Akkarajitsakul, K., Hossain, E., & Niyato, D. (2011). Distributed resource allocation in wireless networks under uncertainty and application of Bayesian game. IEEE Communications Magazine, 49(8), 120–127.CrossRef
28.
Kim, S. (2013). A repeated Bayesian auction game for cognitive radio spectrum sharing scheme. Computer Communications, 36(8), 939–946.CrossRef
29.
Mohammadian, H., & Abolhassani, B. (2010). Auction-based spectrum sharing for multiple primary and secondary users in cognitive radio networks. In IEEE Sarnoff Symposium, pp. 1–6.
30.
Xu, W., & Wang, J. (2010). Double auction based spectrum sharing for wireless operators. In IEEE 21st international symposium on personal indoor and mobile radio communications (PIMRC), pp. 2650–2654.
31.
Wu, G., Ren, P., Du, Q., & Zhang, C. (2013). A DOF-based dynamic spectrum auction algorithm in cognitive femtocell. Concurrency and Computation: Practice and Experience, 25(9), 1126–1143.CrossRef
32.
Ji, Z., & Liu, K. (2007). Cognitive radios for dynamic spectrum access—dynamic spectrum sharing: A game theoretical overview. IEEE Communications Magazine, 45(5), 88–94.CrossRef
33.
Myerson, R. B. (1991). Game theory: Analysis of conflict. Cambridge: Harvard University.MATH
34.
Maskery, M., Krishnamurthy, V., & Zhao, Q. (2009). Decentralized dynamic spectrum access for cognitive radios: Cooperative design of a non-cooperative game. IEEE Transactions on Communications, 57(2), 459–469.CrossRef
35.
Huang, J., & Krishnamurthy, V. (2011). Cognitive base stations in LTE/3GPP femtocells: A correlated equilibrium game-theoretic approach. IEEE Transactions on Communications, 59(12), 3485–3493.CrossRef
36.
Gharehshiran, O., Attar, A., & Krishnamurthy, V. (2013). Collaborative sub-channel allocation in cognitive LTE femto-cells: A cooperative game-theoretic approach. IEEE Transactions on Communications, 61(1), 325–334.CrossRef
37.
Niyato, D., Hossain, E., & Han, Z. (2009). Dynamics of multiple-seller and multiple-buyer spectrum trading in cognitive radio networks: A game-theoretic modeling approach. IEEE Transactions on Mobile Computing, 8(8), 1009–1022.CrossRef
38.
Saad, W., Han, Z., Zheng, R., Hjorungnes, A., Basar, T., & Poor, H. (2012). Coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 6(2), 195–209.CrossRef
39.
Akbar, I. A., & Tranter, W. (2007). Dynamic spectrum allocation in cognitive radio using hidden Markov models: Poisson distributed case. In IEEE SoutheastCon, pp. 196–201.
40.
Nguyeny, T., Mark, B., & Ephraim, Y. (2011). Hidden Markov process based dynamic spectrum access for cognitive radio. In 45th annual conference on information sciences and systems (CISS), pp. 1–6.
41.
Bkassiny, M., & Jayaweera, S. K. (2010). Optimal channel and power allocation for secondary users in cooperative cognitive radio networks. In Mobile lightweight wireless systems. Berlin: Springer, pp. 180–191.
42.
Salameh, H., Krunz, M., & Younis, O. (2008). Distance- and traffic-aware channel assignment in cognitive radio networks. In 5th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, pp. 10–18.
43.
Sandalidis, H. G., & Stavroulakis, P. (2002). Heuristics for solving fixed-channel assignment problems. Handbook of wireless networks and mobile computing, p. 51.
44.
Silver, A. (2004). An overview of heuristic solution methods. Journal of the Operational Research Society, 55(9), 936–956.MATHCrossRef
45.
Biernacki, A., & Tutschku, K. (2014). Comparative performance study of LTE downlink schedulers. Wireless Personal Communications, 74(2), 585–599.CrossRef
46.
Osa, Herranz, C., Monserrat, J. F., & Gelabert, X. (2012). Implementing opportunistic spectrum access in LTE-advanced. EURASIP Journal on Wireless Communications and Networking, 2012(1), 1–17.CrossRef
47.
Deaton, J., Irwin, R., DaSilva, L. (2011). The effects of a dynamic spectrum access overlay in LTE-advanced networks. In IEEE symposium on new frontiers in dynamic spectrum access networks (DySPAN), pp. 488–497.
48.
Deaton, J., Benonis, M., DaSilva, L., & Irwin, R. (2012). Supporting dynamic spectrum access in heterogeneous LTE+ networks. In IEEE international symposium on dynamic spectrum access networks (DYSPAN), pp. 305–316.
49.
Zhao, X., Guo, Z., & Guo, Q. (2010). A cognitive based spectrum sharing scheme for LTE advanced systems. In International congress on ultra modern telecommunications and control systems and workshops (ICUMT), pp. 965–969.
50.
Beluri, M., Bala, E., Dai, Y., Di Girolamo, R., Freda, M., Gourneau, J., et al. (2012). Mechanisms for LTE coexistence in TV white space. In IEEE international symposium on dynamic spectrum access networks (DYSPAN), pp. 317–326.
51.
Thein, C., Fuhrwerk, M., Peissig, J., & Schellmann, M. (2012). Opportunistic spectrum access in TVWS: A comparative coexistence study for LTE. In IEEE international symposium on dynamic spectrum access networks (DYSPAN), pp. 289–298.
52.
Xing, Y., Mathur, C., Haleem, M., Chandramouli, R., & Subbalakshmi, K. P. (2007). Dynamic spectrum access with QoS and interference temperature constraints. IEEE Transactions on Mobile Computing, 6(4), 423–433.CrossRef
53.
Dwarakanath, R., Naranjo, J., & Ravanshid, A. (2013) Modeling of interference maps for licensed shared access in LTE-advanced networks supporting carrier aggregation. In FIP Wireless Days (WD), pp. 16.
54.
Naranjo, J. D., Bauch, G., Saleh, A. B., Viering, I., & Halfmann, R. (2013). A dynamic spectrum access scheme for an LTE-advanced HetNet with carrier aggregation. In Proceedings of 9th international ITG conference on systems, communication and coding (SCC), pp. 1–6.
55.
Cai, T., Koudouridis, G., Johansson, J., van de Beek, J., Nasreddine, J., Petrova, M., et al. (2010). An implementation of cognitive resource management on LTE platform. In IEEE 21st international symposium on personal indoor and mobile radio communications (PIMRC), pp. 2663–2668.
56.
Lien, S.-Y., & Chen, K.-C. (2011). Statistical traffic control for cognitive radio empowered LTE-advanced with network MIMO. In IEEE conference on computer communications workshops (INFOCOM WKSHPS), pp. 80–84.
57.
Kouassi, B., Deneire, L., Zayen, B., Knopp, R., Kaltenberger, F., Negro, F., et al. (2013). Design and implementation of spatial interweave LTE-TDD cognitive radio communication on an experimental platform. IEEE Wireless Communications, 20(2), 60–67.CrossRef
58.
Herranz, C., Osa, V., Monserrat, J., Calabuig, D., Cardona, N., & Gelabert, X. (2012). Cognitive radio enabling opportunistic spectrum access in LTE-advanced femtocells. In 2012 IEEE international conference on communications (ICC), pp. 5593–5597.
59.
Gur, G., Bayhan, S., & Alagoz, F. (2010). Cognitive femtocell networks: An overlay architecture for localized dynamic spectrum access [Dynamic Spectrum Management]. IEEE Wireless Communications, 17(4), 62–70.CrossRef
60.
IEEE Standard for local and metropolitan area networks—Part 21: Media Independent Handover Services Amendment 2: Extension for supporting handovers with downlink only technologies. IEEE Std 802.21b-2012 (Amendment to IEEE Std 802.21-2008 as amended by 802.21a-2012), pp. 1–40, May 2012.
61.
IEEE Draft Standard for local and metropolitan area networks—Part 21: Media Independent Handover Services—Amendment 3: Optimized single radio handovers. IEEE P802.21c/D6, August 2013, pp. 1–70, December 2013.
62.
IEEE Draft Standard for Local and metropolitan area networks—Part 21: Media Independent Handover Services—Amendment 3: Optimized single radio handovers. IEEE P802.21c/D7, December 2013, pp. 1–83.
63.
Peng, F., Gao, Y., Chen, Y., Chai, K. K., & Cuthbert, L. (2011). Using TV white space for interference mitigation in LTE femtocell networks. In IET international conference on communication technology and application (ICCTA), pp. 5–9.
64.
Peng, F., Wang, N., Gao, Y., Cuthbert, L., & Zhang, X. (2013). Geo-location database based TV white space for interference mitigation in LTE femtocell networks. In IEEE 14th international symposium and workshops on a world of wireless, mobile and multimedia networks (WoWMoM), pp. 1–6.
65.
Sangtarash, S., Sadeghi, H., Hassan, W., King, H., & Rahman, T. (2012). Using cognitive radio interference mitigation technique to enhance coexistence and sharing between DVB-T and LTE system. In Future network mobile summit (FutureNetw), pp. 1–9.
66.
Bhat, P., Nagata, S., Campoy, L., Berberana, I., Derham, T., Liu, G., et al. (2012). LTE-advanced: An operator perspective. IEEE Communications Magazine, 50(2), 104–114.CrossRef
67.
68.
Baker, M. (2012). From LTE-advanced to the future. IEEE Communications Magazine, 50(2), 116–120.CrossRef
69.
Hoymann, C., Chen, W., Montojo, J., Golitschek, A., Koutsimanis, C., & Shen, X. (2012). Relaying operation in 3GPP LTE: Challenges and solutions. IEEE Communications Magazine, 50(2), 156–162.CrossRef
70.
Alizadeh, A., Sadough, S. M.-S., & Ghorashi, S. A. (2011). Relay selection and resource allocation in LTE-advanced cognitive relay networks. International Journal on Communications Antenna and Propagation, 1(4), 303–310.
71.
Simeone, O., Stanojev, I., Savazzi, S., Bar-Ness, Y., Spagnolini, U., & Pickholtz, R. (2008). Spectrum leasing to cooperating secondary ad hoc networks. IEEE Journal on Selected Areas in Communications, 26(1), 203–213.CrossRef
72.
Han, Y., Pandharipande, A., & Ting, S. H. (2008). Cooperative spectrum sharing via controlled amplify-and-forward relaying. In IEEE 19th international symposium on personal, indoor and mobile radio communications, PIMRC, pp. 1–5.
73.
Han, Y., Pandharipande, A., & Ting, S. H. (2009). Cooperative decode-and-forward relaying for secondary spectrum access. IEEE Transactions on Wireless Communications, 8(10), 4945–4950.CrossRef
74.
Han, Y., Ting, S. H., & Pandharipande, A. (2010). Cooperative spectrum sharing protocol with secondary user selection. IEEE Transactions on Wireless Communications, 9(9), 2914–2923.CrossRef
75.
Gong, C., Yue, G., & Wang, X. (2011). A transmission protocol for a cognitive bidirectional shared relay system. IEEE Journal of Selected Topics in Signal Processing, 5(1), 160–170.CrossRef
76.
Li, Q., Ting, S. H., Pandharipande, A., & Han, Y. (2011). Cognitive spectrum sharing with two-way relaying systems. IEEE Transactions on Vehicular Technology, 60(3), 1233–1240.CrossRef
77.
Duy, T. T., & Kong, H.-Y. (2013). Performance analysis of two-way hybrid decode-and-amplify relaying scheme with relay selection for secondary spectrum access. Wireless Personal Communications, 69(2), 857–878.CrossRef
78.
Nadkar, T., Thumar, V., Shenoy, G., Mehta, A., Desai, U., & Merchant, S. (2011). A cross-layer framework for symbiotic relaying in cognitive radio networks. In IEEE symposium on new frontiers in dynamic spectrum access networks (DySPAN), pp. 498–509.
79.
Bayat, S., Louie, R. H., Vucetic, B., & Li, Y. (2013). Dynamic decentralised algorithms for cognitive radio relay networks with multiple primary and secondary users utilizing matching theory. Transactions on Emerging Telecommunications Technologies, 24(5), 486–502.CrossRef
80.
Lu, W. D., Gong, Y., Ting, S. H., Wu, X. L., & Zhang, N.-T. (2012). Cooperative OFDM relaying for opportunistic spectrum sharing: Protocol design and resource allocation. IEEE Transactions on Wireless Communications, 11(6), 2126–2135.CrossRef
81.
Han, Y., Ting, S. H., & Pandharipande, A. (2012). Cooperative spectrum sharing protocol with selective relaying system. IEEE Transactions on Communications, 60(1), 62–67.CrossRef
82.
Guimaraes, F., da Costa, D., Tsiftsis, T., Cavalcante, C., & Karagiannidis, G. (2014). Multiuser and multirelay cognitive radio networks under spectrum-sharing constraints. IEEE Transactions on Vehicular Technology, 63(1), 433–439.CrossRef
83.
Krishna, R., Cumanan, K., Xiong, Z., & Lambotharan, S. (2009). Cooperative relays for an underlay cognitive radio network. In International conference on wireless communications signal processing, pp. 1–4.
84.
Jia, J., Zhang, J., & Zhang, Q. (2009). Cooperative relay for cognitive radio networks. In IEEE INFOCOM, pp. 2304–2312.
85.
Simeone, O., Stanojev, I., Savazzi, S., Bar-Ness, Y., Spagnolini, U., & Pickholtz, R. (2008). Spectrum leasing to cooperating secondary ad hoc networks. IEEE Journal on Selected Areas in Communications, 26(1), 203–213.CrossRef
86.
Zhang, J., & Zhang, Q. (2009). Stackelberg game for utility-based cooperative cognitive radio networks. In Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing (pp. 23–32). ACM.
87.
Krikidis, I., Laneman, J. N., Thompson, J. S., & McLaughlin, S. (2009). Protocol design and throughput analysis for multi-user cognitive cooperative systems. IEEE Transactions on Wireless Communications, 8(9), 4740–4751.CrossRef
88.
Rong, B., Krikidis, I., & Ephremides, A. (2010). Network-level cooperation with enhancements based on the physical layer. In 2010 IEEE information theory workshop (ITW), pp. 1–5.
89.
Urgaonkar, R., & Neely, M. J. (2012). Opportunistic cooperation in cognitive femtocell networks. IEEE Journal on Selected Areas in Communications, 30(3), 607–616.CrossRef
90.
Naranjo, J., Viering, I., & Friederichs, K.-J. (2012). A cognitive radio based dynamic spectrum access scheme for LTE heterogeneous networks. In Wireless telecommunications symposium (WTS), pp. 1–7.
91.
Devroye, N., Mitran, P., & Tarokh, V. (2006). Limits on communications in a cognitive radio channel. IEEE Communications Magazine, 44(6), 44–49.MATHCrossRef
92.
Akram Al-Hourani, S. K. (2013). Temporary cognitive femtocell network for public safety LTE. In The first international IEEE workshop on emerging technologies and trends for public safety communications.
93.
Kliks, A. (2015). Application of the cognitive radio concept for M2M communications: Practical considerations. Wireless Personal Communications, 83(1), 117–133.CrossRef
94.
95.
Phunchongharn, P., Hossain, E., & Kim, D. (2013). Resource allocation for device-to-device communications underlaying LTE-advanced networks. IEEE Wireless Communications, 20(4), 91–100.CrossRef
Metadaten
Titel
A Survey on Dynamic Spectrum Access for LTE-Advanced
verfasst von
Abdullah Omar Arafat
Akram Al-Hourani
Nazmus S. Nafi
Mark A. Gregory
Publikationsdatum
03.08.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4707-0

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