Skip to main content
Top

2019 | OriginalPaper | Chapter

3. Taxonomy for the Resource Allocation in CRNs

Authors : Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao

Published in: Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this chapter, a taxonomy for the resource allocation (RA) process in CRNs is provided. In particular, the RA problem is categorized first according to the adopted approach which could be centralized, or distributed. Second, based on the network architecture, the RA problem is also classified as infrastructure based or ad-hoc. Third, according to the problem objective, the basic elements of RA in CRNs may include: throughput (sum-rate), power, delay, QoS, fairness etc. Finally, the algorithms are also classified according to the strategy used for solving the problem which can be an optimization technique, heuristic, game theory, graph theory etc. Figure 3.1 provides the adopted taxonomy in detail.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference W. Xiong, A. Mukherjee, H.M. Kwon, MIMO cognitive radio user selection with and without primary channel state information. IEEE Trans. Veh. Technol. 65(2), 985–991 (2016)CrossRef W. Xiong, A. Mukherjee, H.M. Kwon, MIMO cognitive radio user selection with and without primary channel state information. IEEE Trans. Veh. Technol. 65(2), 985–991 (2016)CrossRef
2.
go back to reference E. Driouch, W. Ajib, Downlink scheduling and resource allocation for cognitive radio MIMO networks. IEEE Trans. Veh. Technol. 62(8), 3875–3885 (2013)CrossRef E. Driouch, W. Ajib, Downlink scheduling and resource allocation for cognitive radio MIMO networks. IEEE Trans. Veh. Technol. 62(8), 3875–3885 (2013)CrossRef
3.
go back to reference S. Wang, F. Huang, C. Wang, Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks. Wirel. Netw. 19(3), 273–284 (2013)CrossRef S. Wang, F. Huang, C. Wang, Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks. Wirel. Netw. 19(3), 273–284 (2013)CrossRef
4.
go back to reference L. Lu, D. He, X. Yu, G.Y. Li, Energy-efficient resource allocation for cognitive radio networks, in Proceedings of the IEEE Global Communications Conference (GLOBECOM), Atlanta, December 2013, pp. 1026–1031 L. Lu, D. He, X. Yu, G.Y. Li, Energy-efficient resource allocation for cognitive radio networks, in Proceedings of the IEEE Global Communications Conference (GLOBECOM), Atlanta, December 2013, pp. 1026–1031
5.
go back to reference H. Guo, V.C.M. Leung, Orthogonal transmissions for spectrum underlay MISO cognitive radio. IEEE Trans. Wirel. Commun. 11(4), 1266–1270 (2012)CrossRef H. Guo, V.C.M. Leung, Orthogonal transmissions for spectrum underlay MISO cognitive radio. IEEE Trans. Wirel. Commun. 11(4), 1266–1270 (2012)CrossRef
6.
go back to reference A.G. Marques, L.M. Lopez-Ramos, G.B. Giannakis, J. Ramos, Resource allocation for interweave and underlay CRs under probability-of-interference constraints. IEEE J. Sel. Areas Commun. 30(10), 1922–1933 (2012)CrossRef A.G. Marques, L.M. Lopez-Ramos, G.B. Giannakis, J. Ramos, Resource allocation for interweave and underlay CRs under probability-of-interference constraints. IEEE J. Sel. Areas Commun. 30(10), 1922–1933 (2012)CrossRef
7.
go back to reference L.B. Le, E. Hossain, Resource allocation for spectrum underlay in cognitive radio networks. IEEE Trans. Wirel. Commun. 7(12), 5306–5315 (2008)CrossRef L.B. Le, E. Hossain, Resource allocation for spectrum underlay in cognitive radio networks. IEEE Trans. Wirel. Commun. 7(12), 5306–5315 (2008)CrossRef
8.
go back to reference J.R. Gállego, M. Canales, J. Ortín, Distributed resource allocation in cognitive radio networks with a game learning approach to improve aggregate system capacity. Elsevier Ad Hoc Netw. 10(6), 1076–1089 (2012)CrossRef J.R. Gállego, M. Canales, J. Ortín, Distributed resource allocation in cognitive radio networks with a game learning approach to improve aggregate system capacity. Elsevier Ad Hoc Netw. 10(6), 1076–1089 (2012)CrossRef
9.
go back to reference Y. Xu, X. Zhao, Distributed power control for multiuser cognitive radio networks with quality of service and interference temperature constraints. Wirel. Commun. Mob. Comput. 15(14), 1773–1783 (2015)CrossRef Y. Xu, X. Zhao, Distributed power control for multiuser cognitive radio networks with quality of service and interference temperature constraints. Wirel. Commun. Mob. Comput. 15(14), 1773–1783 (2015)CrossRef
10.
go back to reference S. Gong, P. Wang, L. Duan, Distributed power control with robust protection for PUs in cognitive radio networks. IEEE Trans. Wirel. Commun. 14(6), 3247–3258 (2015)CrossRef S. Gong, P. Wang, L. Duan, Distributed power control with robust protection for PUs in cognitive radio networks. IEEE Trans. Wirel. Commun. 14(6), 3247–3258 (2015)CrossRef
11.
go back to reference M. Rasti, M. Hasan, L.B. Le, E. Hossain, Distributed uplink power control for multi-cell cognitive radio networks. IEEE Trans. Commun. 63(3), 628–642 (2015)CrossRef M. Rasti, M. Hasan, L.B. Le, E. Hossain, Distributed uplink power control for multi-cell cognitive radio networks. IEEE Trans. Commun. 63(3), 628–642 (2015)CrossRef
12.
go back to reference J. Zhang, Z. Zhang, H. Luo, A. Huang, R. Yin, Uplink scheduling for cognitive radio cellular network with primary user’s QoS protection, in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), Sydney, April 2010, pp. 1–5 J. Zhang, Z. Zhang, H. Luo, A. Huang, R. Yin, Uplink scheduling for cognitive radio cellular network with primary user’s QoS protection, in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), Sydney, April 2010, pp. 1–5
13.
go back to reference R. Sumathi, M. Poornima, M. Suganthi, User aware mobility management in cognitive radio cellular network, in Proceedings of the International Conference on Electronics and Communication Systems (ICECS), Coimbatore, February 2014, pp. 1–5 R. Sumathi, M. Poornima, M. Suganthi, User aware mobility management in cognitive radio cellular network, in Proceedings of the International Conference on Electronics and Communication Systems (ICECS), Coimbatore, February 2014, pp. 1–5
14.
go back to reference C.R. Stevenson, G. Chouinard, Z. Lei, W. Hu, S.J. Shellhammer, W. Caldwell, IEEE 802.22: the first cognitive radio wireless regional area network standard. IEEE Commun. Mag. 47(1), 130–138 (2009)CrossRef C.R. Stevenson, G. Chouinard, Z. Lei, W. Hu, S.J. Shellhammer, W. Caldwell, IEEE 802.22: the first cognitive radio wireless regional area network standard. IEEE Commun. Mag. 47(1), 130–138 (2009)CrossRef
15.
go back to reference A. Dimogiorgi, W. Hamouda, A proposed enhanced scheme for the dynamic frequency hopping performance in the IEEE 802.22 standard. Wirel. Commun. Mob. Comput. J. 16(16), 2714–2729 (2016)CrossRef A. Dimogiorgi, W. Hamouda, A proposed enhanced scheme for the dynamic frequency hopping performance in the IEEE 802.22 standard. Wirel. Commun. Mob. Comput. J. 16(16), 2714–2729 (2016)CrossRef
16.
go back to reference M.E. Tanab, W. Hamouda, Y. Fahmy, On the distributed resource allocation of MIMO cognitive radio networks, in Proceedings of the IEEE Global Communications Conference (GLOBECOM), San Diego, December 2015, pp. 1–6 M.E. Tanab, W. Hamouda, Y. Fahmy, On the distributed resource allocation of MIMO cognitive radio networks, in Proceedings of the IEEE Global Communications Conference (GLOBECOM), San Diego, December 2015, pp. 1–6
17.
go back to reference R. Jurdak, C.V. Lopes, P. Baldi, A survey, classification and comparative analysis of medium access control protocols for ad hoc networks. IEEE Commun. Surv. Tutorials 6(1), 2–16 (2004)CrossRef R. Jurdak, C.V. Lopes, P. Baldi, A survey, classification and comparative analysis of medium access control protocols for ad hoc networks. IEEE Commun. Surv. Tutorials 6(1), 2–16 (2004)CrossRef
18.
go back to reference I.F. Akyildiz, W.-Y. Lee, K.R. Chowdhury, CRAHNs: cognitive radio ad hoc networks. Ad Hoc Netw. 7(5), 810–836 (2009)CrossRef I.F. Akyildiz, W.-Y. Lee, K.R. Chowdhury, CRAHNs: cognitive radio ad hoc networks. Ad Hoc Netw. 7(5), 810–836 (2009)CrossRef
19.
go back to reference S.-J. Kim, G.B. Giannakis, Optimal resource allocation for MIMO ad hoc cognitive radio networks. IEEE Trans. Inf. Theory 57(5), 3117–3131 (2011)MathSciNetCrossRef S.-J. Kim, G.B. Giannakis, Optimal resource allocation for MIMO ad hoc cognitive radio networks. IEEE Trans. Inf. Theory 57(5), 3117–3131 (2011)MathSciNetCrossRef
20.
go back to reference I.F. Akyildiz, W.-Y. Lee, K.R. Chowdhury, Spectrum management in cognitive radio ad hoc networks. IEEE Netw. 23(4), 6–12 (2009)CrossRef I.F. Akyildiz, W.-Y. Lee, K.R. Chowdhury, Spectrum management in cognitive radio ad hoc networks. IEEE Netw. 23(4), 6–12 (2009)CrossRef
21.
go back to reference N. Kokash, An introduction to heuristic algorithms. Department of Informatics and Telecommunications (2005), pp. 1–8 N. Kokash, An introduction to heuristic algorithms. Department of Informatics and Telecommunications (2005), pp. 1–8
22.
go back to reference E.A. Silver, An overview of heuristic solution methods. J. Oper. Res. Soc. 55, 936–956 (2017)CrossRef E.A. Silver, An overview of heuristic solution methods. J. Oper. Res. Soc. 55, 936–956 (2017)CrossRef
23.
go back to reference M.E. Tanab, Y. Fahmy, M.M. Khairy, Opportunistic splitting algorithm for underlay cognitive radio networks, in Proceedings of the IEEE Sixth International Conference on Ubiquitous and Future Networks (ICUFN), July 2014, pp. 9–14 M.E. Tanab, Y. Fahmy, M.M. Khairy, Opportunistic splitting algorithm for underlay cognitive radio networks, in Proceedings of the IEEE Sixth International Conference on Ubiquitous and Future Networks (ICUFN), July 2014, pp. 9–14
24.
go back to reference B. Wang, D. Zhao, J. Cai, Joint connection admission control and packet scheduling in a cognitive radio network with spectrum underlay. IEEE Trans. Wirel. Commun. 10, 3852–3863 (2011)CrossRef B. Wang, D. Zhao, J. Cai, Joint connection admission control and packet scheduling in a cognitive radio network with spectrum underlay. IEEE Trans. Wirel. Commun. 10, 3852–3863 (2011)CrossRef
25.
go back to reference E. Driouch, W. Ajib, Downlink scheduling and resource allocation for cognitive radio MIMO networks. IEEE Trans. Veh. Technol. 62, 3875–3885 (2013)CrossRef E. Driouch, W. Ajib, Downlink scheduling and resource allocation for cognitive radio MIMO networks. IEEE Trans. Veh. Technol. 62, 3875–3885 (2013)CrossRef
26.
go back to reference S. Wang, F. Huang, C. Wang, Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks. Wirel. Netw. 19, 273–284 (2013)CrossRef S. Wang, F. Huang, C. Wang, Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks. Wirel. Netw. 19, 273–284 (2013)CrossRef
27.
go back to reference S. Boyd, L. Vandenberghe, Convex Optimization (Cambridge University Press, Cambridge, 2004) S. Boyd, L. Vandenberghe, Convex Optimization (Cambridge University Press, Cambridge, 2004)
28.
go back to reference L. Fu, M. Johansson, M. Bengtsson, Energy efficient transmissions in cognitive MIMO systems with multiple data streams. IEEE Trans. Veh. Technol. 14, 5171–5184 (2015)CrossRef L. Fu, M. Johansson, M. Bengtsson, Energy efficient transmissions in cognitive MIMO systems with multiple data streams. IEEE Trans. Veh. Technol. 14, 5171–5184 (2015)CrossRef
29.
go back to reference R. Kannan, C.L. Monma, On the Computational Complexity of Integer Programming Problems (Springer, Berlin, 1978) R. Kannan, C.L. Monma, On the Computational Complexity of Integer Programming Problems (Springer, Berlin, 1978)
30.
go back to reference E.Z. Tragos, S. Zeadally, A.G. Fragkiadakis, V.A. Siris, Spectrum assignment in cognitive radio networks: a comprehensive survey. IEEE Commun. Surv. Tutorials 15(3), 1108–1135 (2013)CrossRef E.Z. Tragos, S. Zeadally, A.G. Fragkiadakis, V.A. Siris, Spectrum assignment in cognitive radio networks: a comprehensive survey. IEEE Commun. Surv. Tutorials 15(3), 1108–1135 (2013)CrossRef
31.
go back to reference E. Driouch, W. Ajib, A.B. Dhaou, A greedy spectrum sharing algorithm for cognitive radio networks, in Proceedings of the IEEE International Conference on Computing, Networking and Communications (ICNC), January 2012, pp. 1010–1014 E. Driouch, W. Ajib, A.B. Dhaou, A greedy spectrum sharing algorithm for cognitive radio networks, in Proceedings of the IEEE International Conference on Computing, Networking and Communications (ICNC), January 2012, pp. 1010–1014
32.
go back to reference Y.-J. Chang, Z. Tao, J. Zhang, C.-C.J. Kuo, A graph-based approach to multi-cell OFDMA downlink resource allocation, in Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), December 2008, pp. 1–6 Y.-J. Chang, Z. Tao, J. Zhang, C.-C.J. Kuo, A graph-based approach to multi-cell OFDMA downlink resource allocation, in Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), December 2008, pp. 1–6
33.
go back to reference Y. Liu, M. Tao, Optimal channel and relay assignment in OFDM-based multi-relay multi-pair two-way communication networks. IEEE Trans. Commun. 60, 317–321 (2012)CrossRef Y. Liu, M. Tao, Optimal channel and relay assignment in OFDM-based multi-relay multi-pair two-way communication networks. IEEE Trans. Commun. 60, 317–321 (2012)CrossRef
34.
go back to reference R.J. Wilson, Introduction to Graph Theory, 4th edn. (Prentice Hall, Harlow, 1996) R.J. Wilson, Introduction to Graph Theory, 4th edn. (Prentice Hall, Harlow, 1996)
35.
go back to reference L. Lu, D. He, X. Yu, G.Y. Li, Energy-efficient resource allocation for cognitive radio networks, in Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), December 2013, pp. 1026–1031 L. Lu, D. He, X. Yu, G.Y. Li, Energy-efficient resource allocation for cognitive radio networks, in Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM), December 2013, pp. 1026–1031
36.
go back to reference L. Lu, D. He, X. Yu, G.Y. Li, Graph-based robust resource allocation for cognitive radio networks, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014, pp. 7298–7302 L. Lu, D. He, X. Yu, G.Y. Li, Graph-based robust resource allocation for cognitive radio networks, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2014, pp. 7298–7302
37.
go back to reference W. Zhou, T. Jing, W. Cheng, T. Chen, Y. Huo, Combinatorial auction based channel allocation in cognitive radio networks, in Proceedings of the IEEE International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), July 2013, pp. 135–140 W. Zhou, T. Jing, W. Cheng, T. Chen, Y. Huo, Combinatorial auction based channel allocation in cognitive radio networks, in Proceedings of the IEEE International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM), July 2013, pp. 135–140
38.
go back to reference L. Chen, L. Huang, H. Xu, H. Deng, Z. Sun, Optimal channel assignment schemes in underlay CRNs with multi-PU and multi-SU transmission pairs. Wirel. Algorithms Syst. Appl. 9204, 29–39 (2015) L. Chen, L. Huang, H. Xu, H. Deng, Z. Sun, Optimal channel assignment schemes in underlay CRNs with multi-PU and multi-SU transmission pairs. Wirel. Algorithms Syst. Appl. 9204, 29–39 (2015)
39.
go back to reference C. Peng, H. Zheng, B.Y. Zhao, Utilization and fairness in spectrum assignment for opportunistic spectrum access. Mob. Netw. Appl. 11, 555–576 (2006)CrossRef C. Peng, H. Zheng, B.Y. Zhao, Utilization and fairness in spectrum assignment for opportunistic spectrum access. Mob. Netw. Appl. 11, 555–576 (2006)CrossRef
40.
go back to reference K. Akkarajitsakul, E. Hossain, D. Niyato, D.I. Kim, Game theoretic approaches for multiple access in wireless networks: a survey. IEEE Commun. Surv. Tutorials 13(3), 372–395 (2011)CrossRef K. Akkarajitsakul, E. Hossain, D. Niyato, D.I. Kim, Game theoretic approaches for multiple access in wireless networks: a survey. IEEE Commun. Surv. Tutorials 13(3), 372–395 (2011)CrossRef
41.
go back to reference M. Felegyhazi, J.-P. Hubaux, Game theory in wireless networks: a tutorial. IEEE Communications Surveys and Tutorials, No. LCA-REPORT-2006-002 (2006) M. Felegyhazi, J.-P. Hubaux, Game theory in wireless networks: a tutorial. IEEE Communications Surveys and Tutorials, No. LCA-REPORT-2006-002 (2006)
42.
go back to reference B. Wang, Y. Wu, K.R. Liu, Game theory for cognitive radio networks: an overview. Elsevier Comput. Netw. 54, 2537–2561 (2010)CrossRef B. Wang, Y. Wu, K.R. Liu, Game theory for cognitive radio networks: an overview. Elsevier Comput. Netw. 54, 2537–2561 (2010)CrossRef
43.
go back to reference O.B. Abdulghfoor, M. Ismail, R. Nordin, Application of game theory to underlay ad-hoc cognitive radio networks: an overview, in Proceedings of the IEEE International Conference on Space Science and Communication (IconSpace) 296–301 (2013) O.B. Abdulghfoor, M. Ismail, R. Nordin, Application of game theory to underlay ad-hoc cognitive radio networks: an overview, in Proceedings of the IEEE International Conference on Space Science and Communication (IconSpace) 296–301 (2013)
44.
go back to reference A.D. Domenico, E.C. Strinati, M.D. Benedetto, A survey on MAC strategies for cognitive radio networks. IEEE Commun. Surv. Tutorials 14(1), 21–44 (2012)CrossRef A.D. Domenico, E.C. Strinati, M.D. Benedetto, A survey on MAC strategies for cognitive radio networks. IEEE Commun. Surv. Tutorials 14(1), 21–44 (2012)CrossRef
45.
go back to reference H.-S. Lang, S.-C. Lin, W.-H. Fang, Subcarrier pairing and power allocation with interference management in cognitive relay networks based on genetic algorithms. IEEE Trans. Veh. Technol. 65, 7051–7063 (2016)CrossRef H.-S. Lang, S.-C. Lin, W.-H. Fang, Subcarrier pairing and power allocation with interference management in cognitive relay networks based on genetic algorithms. IEEE Trans. Veh. Technol. 65, 7051–7063 (2016)CrossRef
46.
go back to reference Y. Jiao, I. Joe, Energy-efficient resource allocation for heterogeneous cognitive radio network based on two-tier crossover genetic algorithm. J. Commun. Netw. 18(1), 112–122 (2016)CrossRef Y. Jiao, I. Joe, Energy-efficient resource allocation for heterogeneous cognitive radio network based on two-tier crossover genetic algorithm. J. Commun. Netw. 18(1), 112–122 (2016)CrossRef
47.
go back to reference Y.E. Morabit, F. Mrabti, E.H. Abarkan, Spectrum allocation using genetic algorithm in cognitive radio networks, in Third International Workshop on RFID and Adaptive Wireless Sensor Networks (RAWSN) 90–93 (2015) Y.E. Morabit, F. Mrabti, E.H. Abarkan, Spectrum allocation using genetic algorithm in cognitive radio networks, in Third International Workshop on RFID and Adaptive Wireless Sensor Networks (RAWSN) 90–93 (2015)
48.
go back to reference B. Atakan, O.B. Akan, Biologically-inspired spectrum sharing in cognitive radio networks, in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), March 2007, pp. 43–48 B. Atakan, O.B. Akan, Biologically-inspired spectrum sharing in cognitive radio networks, in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), March 2007, pp. 43–48
49.
go back to reference S. Yang, J. Wang, Y. Han, Q. Zhao, Dynamic spectrum allocation algorithm based on fairness for smart grid communication networks, in Proceedings of the IEEE International Conference of Chinese Control Conference (CCC), July 2016, pp. 6873–6877 S. Yang, J. Wang, Y. Han, Q. Zhao, Dynamic spectrum allocation algorithm based on fairness for smart grid communication networks, in Proceedings of the IEEE International Conference of Chinese Control Conference (CCC), July 2016, pp. 6873–6877
50.
go back to reference S.B. Behera, D.D. Seth, Resource allocation for cognitive radio network using particle swarm optimization, in Proceedings of the IEEE International Conference on Electronics and Communication Systems (ICECS), February 2015, pp. 665–667 S.B. Behera, D.D. Seth, Resource allocation for cognitive radio network using particle swarm optimization, in Proceedings of the IEEE International Conference on Electronics and Communication Systems (ICECS), February 2015, pp. 665–667
51.
go back to reference B. Chen, M. Zhao, M. Lei, L. Zhang, An optimal spectrum sharing method for MIMO cognitive radio networks, in Proceedings of the IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), September 2015, pp. 1007–1011 B. Chen, M. Zhao, M. Lei, L. Zhang, An optimal spectrum sharing method for MIMO cognitive radio networks, in Proceedings of the IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), September 2015, pp. 1007–1011
52.
go back to reference P. Tiwari, S. Saha, Co-channel interference constrained spectrum allocation with simultaneous power and network capacity optimization using PSO in cognitive radio network, in Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), December 2015, pp. 1–3 P. Tiwari, S. Saha, Co-channel interference constrained spectrum allocation with simultaneous power and network capacity optimization using PSO in cognitive radio network, in Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), December 2015, pp. 1–3
53.
go back to reference D.P. Palomar, J.R. Fonollosa, Practical algorithms for a family of water-filling solutions. IEEE Trans. Signal Process. 53, 686–695 (2005)MathSciNetCrossRef D.P. Palomar, J.R. Fonollosa, Practical algorithms for a family of water-filling solutions. IEEE Trans. Signal Process. 53, 686–695 (2005)MathSciNetCrossRef
54.
go back to reference W. Yu, J.M. Cioffi, On constant power water-filling, in Proceedings of the IEEE International Conference on Communications, vol. 6, June 2001, pp. 1665–1669 W. Yu, J.M. Cioffi, On constant power water-filling, in Proceedings of the IEEE International Conference on Communications, vol. 6, June 2001, pp. 1665–1669
55.
go back to reference P. He, L. Zhao, S. Zhou, Z. Niu, Water-filling: a geometric approach and its application to solve generalized radio resource allocation problems. IEEE Trans. Wirel. Commun. 12(7), 3637–3646 (2013)CrossRef P. He, L. Zhao, S. Zhou, Z. Niu, Water-filling: a geometric approach and its application to solve generalized radio resource allocation problems. IEEE Trans. Wirel. Commun. 12(7), 3637–3646 (2013)CrossRef
Metadata
Title
Taxonomy for the Resource Allocation in CRNs
Authors
Xavier Fernando
Ajmery Sultana
Sattar Hussain
Lian Zhao
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-73957-1_3