Abstract
As the complexities of wireless technologies increase, novel multidisciplinary approaches for the spectrum sharing/management are required with inputs from the technology, economics and regulations. Recently, the cognitive radio technology comes into action to handle the spectrum scarcity problem. To identify the available spectrum resource, decision on the optimal sensing and transmission time with proper coordination among the users for spectrum access are the important characteristics of spectrum sharing methods. In this paper, we have technically overviewed the state-of-the-art of the various spectrum sharing techniques and discussed their potential issues with emerging applications of the communication system, especially to enhance the spectral efficiency. The potential advantages, limiting factors, and characteristic features of the existing cognitive radio spectrum sharing domains are thoroughly discussed and an overview of the spectrum sharing is provided as it ensures the channel access without the interference/collision to the licensed users in the spectrum.
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References
NTIA. U.S. frequency allocations [online]. http://www.ntia.doc.gov/files/ntia/publications/2003-allochrt.pdf
Hoossain, E., Niyato, D., & Han, Z. (2009). Dynamic spectrum access and management in cognitive radio networks. New York: Cambridge University Press.
Zhao, Qing, & Sadler, B. M. (2007). A survey of dynamic spectrum access: Signal processing, networking, and regulatory policy. IEEE Signal Processing Magazine, 24(3), 79–89.
Santivanez, C., Ramanathan, R., Partridge, C., Krishnan, R., Condell, M., & Polit, S. (2006). Opportunistic spectrum access: Challenges, architecture, protocols. In Proceedings of 2nd Annual International Workshop on Wireless Internet (WICON), New York, USA, pp. 1–9.
Mitola, J., III (2000). Cognitive radio: An integrated agent architecture for software defined radio. Ph.D. Thesis, Royal Institute of Technology (KTH) Sweden, May, 2000.
Jondral, F. K. (2005). Software-defined radio: Basics and evolution to cognitive radio. EURASIP Journal on Wireless Communications and Networking, 5(3), 275–283.
Ramacher, U. (2007). Software-defined radio prospects for multi-standard mobile phones. IEEE Journal of Computer, 40(10), 62–69.
Bagheri, R., Mirzaei, A., Heidari, M. E., Chehrazi, S., Lee, M., Mikhemar, M., et al. (2006). Software-defined radio receiver: Dream to reality. IEEE Communications Magazine, 44(8), 111–118.
Arslan, H., & Yarkan, S. (2007). Cognitive radio, software defined radio, and adaptive wireless systems. Netherlands: Springer.
Stevenson, C., Chouinard, G., Lei, Z. D., Hu, W. D., Shellhammer, S., & Caldwell, W. (2009). IEEE 802.22: The first cognitive radio wireless regional area network standard. IEEE Communications Magazine, 47(1), 130–138.
Phunchongharn, P., Hossain, E., Niyato, D., & Camorlinga, S. (2010). A cognitive radio system for e-health applications in a hospital environment. IEEE Wireless Communications, 17(1), 20–28.
Felice, M.- D., Chowdhury, K.- R., & Bononi, L. (2010). Analyzing the potential of cooperative cognitive radio technology on inter-vehicle communication. In Proceedings of wireless days (WD) IFIP, Venice, October 20–22, 2010, pp. 1–6.
Pawelczak, P., Prasad, R.- V., Xia, L., & Niemegeers, I.- G.- M.- M. (2005). Cognitive radio emergency networks–requirements and design. In Proceedings of IEEE 1st international symposium on new frontiers in dynamic spectrum access networks (DySPAN), Baltimore, MD, USA, November 8–11, 2005, pp. 601–606.
Hinman, R.- D. (2006). Application of cognitive radio technology to legacy military waveforms in a JTRS (Joint Tactical Radio System) radio. In Proceedings of IEEE Military Communications Conference (MILCOM), Washington, DC, October 23–25, 2006, pp. 1–5.
Akyildiz, I.-F., Lee, W.-Y., Vuran, M.-C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50(13), 2127–2159.
Wang, B., & Liu, K.-J.-R. (2011). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5(1), 5–23.
Akyildiz, I.-F., Lee, W.-Y., Vuran, M.-C., & Mohanty, S. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine, 46(4), 40–48.
Zhang, G., Yang, K., Song, J., & Li, Y. (2013). Fair and efficient spectrum splitting for unlicensed secondary users in cooperative cognitive radio networks. Wireless Personal Communications, 71(1), 299–316.
Akyildiz, I.-F., Lo, B.-F., & Balakrishnan, R. (2011). Cooperative spectrum sensing in cognitive radio networks. Physical Communication, 4(1), 40–62.
Lee, C.-H., & Wolf, W. (2008). Energy efficient techniques for cooperative spectrum sensing in cognitive radios. In Proceedings of IEEE consumer communications and networking conference (CCNC), Las Vegas, NV, January 10–12, pp. 968–972.
Sun, C., Zhang, W., & Letaief, K.-B. (2007). Cooperative spectrum sensing for cognitive radios under bandwidth constraints. In Proceedings of IEEE wireless communications and networking conference (WCNC), Kowloon, March 11–15, 2007, pp. 1–5.
Sun, C., Zhang, W., & Letaief, K. B. (2007). Cluster-based cooperative spectrum sensing in cognitive radio systems. In: Proceedings of IEEE international conference on communications (ICC’ 07), Glasgow, June 24–28, pp. 2511–2515.
Flajolet, P., & Martin, G. N. (1985). Probabilistic counting algorithms for data base applications. Journal of Computer and System Sciences, 31(2), 182–209.
Quan, Z., Cui, S., & Sayed, A.-H. (2008). Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 2(1), 28–40.
Ma, J. & Li, Y. G. (2007). Soft combination and detection for cooperative spectrum sensing in cognitive radio networks. In Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), Washington, DC, November 26–30, pp. 3139–3143.
Song, M., Xin, C., Zhao, Y., & Cheng, X. (2012). Dynamic spectrum access: From cognitive radio to network radio. IEEE Wireless Communications, 19(1), 23–29.
Chang, C.-W., & Kuo, C.-C. (2010). An interweave cognitive radio system based on the hierarchical 2D-spread MC-DS-CDMA. In Proceedings of IEEE vehicular technology conference fall (VTC 2010-Fall), Ottawa, Canada, September 6–9, 2010, pp. 1–5.
Soysal, A., Ulukus, S., & Clancy C. (2008). Channel estimation and adaptive M-QAM in cognitive radio links. In IEEE proceedings of the international conference on communications (ICC’ 08), Beijing, May 19–23, 2008, pp. 4043–4047.
Pursley, M.-B., & Royster, T. C. (2008). Low-complexity adaptive transmission for cognitive radios in dynamic spectrum access networks. IEEE Journal on Selected Areas in Communications, 26(1), 83–94.
Kim, D. I., Le, L. B., & Hossain, E. (2008). Joint rate and power allocation for cognitive radios in dynamic spectrum access environment. IEEE Transactions on Wireless Communications, 7(12), 5517–5527.
Srinivasa, S. & Jafar, S.-A. (2006). The throughput potential of cognitive radio: A theoretical perspective. In Proceedings of the 40th Asilomar conference on signals, systems and computers (ACSSC’ 06), Pacific Grove, CA, 29 Oct.–1 Nov. 2006, pp. 221–225.
Taki M., & Lahouti, F. (2009). Spectral efficiency optimized adaptive transmission for interfering cognitive radios. In Proceedings of the IEEE international conference on communications workshops (ICC 2009), Dresden, June 2009, pp. 1–6.
Costa, M. (1983). Writing on dirty paper. IEEE Transactions on Information Theory, 29, 439–441.
Ghosh, C. (2009). Innovative approaches to spectrum selection, sensing, and sharing in cognitive radio networks. Ph. D. Thesis, University of Cincinnati, Ohio, April 2009.
Dashti, M., Azmi, P., Navaie, K., & Razavizadeh, S.-M. (2013). Ergodic sum rate maximization for underlay spectrum sharing with heterogeneous traffic. Wireless Personal Communications, 71(1), 586–610.
Kang, X., Liang, Y.-C., Garg, H.-K., & Zhang, L. (2009). Sensing based spectrum sharing in cognitive radio networks. IEEE Transactions on Vehicular Technology, 58(8), 4649–4654.
Xu, D., Feng, Z., & Zhang, P. (2013). On the impacts of channel estimation errors and feedback delay on the ergodic capacity for spectrum sharing cognitive radio. Wireless Personal Communications, 72(4), 1875–1887.
Pandit, Shweta, & Singh, G. (2015). Channel capacity in fading environment with CSI and interference power constraints for cognitive radio communication system. Wireless Networks, 21(4), 1275–1288.
Chen, Y., Yu, G., Zhang, Z., Chen, H., & Qiu, P. (2008). On cognitive radio networks with opportunistic power control strategies in fading channels. IEEE Transactions on Wireless Communications, 7, 2752–2761.
Kang, X. (2013). Optimal power allocation for fading cognitive multiple access channels: A two-user case. IEEE Wireless Communications Letters, 2(6), 683–686.
Bansal, G., Hossain, Md.- J., & Bhargava, V.- K. (2011). Adaptive power loading for OFDM based cognitive radio systems with statistical interference constraint. IEEE Transactions on Wireless Communications, 10(9), 2786–2791.
Pao, W.-C., & Chen, Y.-F. (2014). Adaptive gradient based method for adaptive power allocation in OFDM based cognitive radio networks. IEEE Transactions of Vehicular Technology, 63(2), 836–848.
Zhang, Y., & Leung, C. (2010). An efficient power loading scheme for OFDM based cognitive radio systems. IEEE Transactions on Vehicular Technology, 59(4), 1858–1864.
Li, D. (2011). Efficient power allocation for multi user cognitive radio networks. Wireless Personal Communications, 59(4), 589–597.
Chen, Z., & Zhang, X.-D. (2012). Power and time allocation between multiple channels in cognitive radio networks. Wireless Personal Communications, 64(4), 783–794.
Wang, S., Huang, F., & Wang, C. (2013). Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks. Wireless Networks, 19(3), 273–284.
Le, L.-B., & Hossain, E. (2008). Resource allocation for spectrum underlay in cognitive radio networks. IEEE Transactions on Wireless Communications, 7(12), 5306–5315.
Peng, C., Zheng, H., & Zhao, B.-Y. (2006). Utilization and fairness in spectrum assignment for opportunistic spectrum access. Mobile Networks and Applications, 11(4), 555–576.
Zhang, L., Liang, Y.-C., & Xin, Y. (2008). Joint beam forming and power allocation for multiple access channels in cognitive radio networks. IEEE Journal on Selected Areas in Communications, 26(1), 38–51.
Wang, S., Huang, F., & Zhou, Z.-H. (2011). Fast power allocation algorithm for cognitive radio networks. IEEE Communications Letters, 15(8), 845–847.
Shaat, M., & Bader, F. (2009) Low complexity power loading scheme in cognitive radio networks: FBMC capability. In Proceedings of the IEEE international symposium on personal, indoor and mobile radio communications, Tokyo, September 13–16, 2009, pp. 2597–2602.
Xie, R., Yu, F.-R., & Ji, H. (2012). Dynamic resource allocation for heterogeneous services in cognitive radio networks with imperfect channel sensing. IEEE Transactions on Vehicular Technology, 61(2), 770–780.
Benjebbour, A., Saito, Y., Kishiyama, Y., Li, A., Harada, A., & Nakamura, T. (2013) Concept and practical considerations of non-orthogonal multiple access (NOMA) for future radio access. In Proceedings of international symposium on intelligent signal processing and communications systems (ISPACS), Naha, Japan, November 12–15, 2013, pp. 770–774.
Saito, Y., Benjebbour, A., Kishiyama, Y., & Nakamura, T. (2013) System-level performance evaluation of downlink non-orthogonal multiple access (NOMA). In Proceedings of 24th IEEE international symposium on personal indoor and mobile radio communications (PIMRC), London, United Kingdom, September 8–11, 2013, pp. 611–615.
Saito, Y., Kishiyama, Y., Benjebbour, A., Nakamura, T., Li, A., & Higuchi, K. (2013). Non-orthogonal multiple access (NOMA) for cellular future radio access. In Proceedings of 77th IEEE vehicular technology conference (VTC), Dresden, 2–5 June 2013, pp. 1–5.
Teng, Y., Yu, F.-R., Wei, Y., Wang, L., & Zhang, Y. (2012). Behavior modeling for spectrum sharing in wireless cognitive networks. Wireless Networks, 18(8), 99–947.
Guo, S., Dang, C., & Liao, X. (2011). Distributed algorithm for resource allocation of physical and transport layer in wireless cognitive ad-hoc networks. Wireless Networks, 17(2), 337–356.
Xi, Y., & Yeh, E.-M. (2007). Distributed algorithm for spectrum allocation, power control, routing ad congestion control in wireless networks. In Proceedings of the ACM international symposium on mobile ad hoc networking and computing canada, September 9–14, pp. 180–189.
Guo, S., Dang, C., & Liao, X. (2011). Distributed resource allocation with fairness for cognitive radios in wireless mobile ad-hoc networks. Wireless Networks, 17(6), 1493–1512.
Niyato, D., & Hossain, E. (2008). Spectrum trading in cognitive radio networks: A market equilibrium based approach. IEEE Wireless Communications, 15(6), 71–80.
Yu, Q. (2013). A survey of cooperative games for cognitive radio networks. Wireless Personal Communications, 73(3), 949–966.
Nie, N., & Comaniciu, C. (2006). Adaptive channel allocation spectrum etiquette for cognitive radio networks. Journal of Mobile Networks and Applications, 11(6), 779–797.
Olafsson, S., Glover, B., & Nekovee, M. (2007). Future management of spectrum. BT Technology Journal, 25(2), 52–63.
Niyato, D., & Hossain, E. (2008). A non-cooperative game-theoretic framework for radio resource management in 4G heterogeneous wireless access networks. IEEE Transactions on Mobile Computing, 7(3), 332–345.
Pandit, S., & Singh, G. (2013). Spectrum sharing in cognitive radio using game theory. In Proceedings of IEEE international advance computing conference (IACC-2013), India, February 22–23, pp. 1503–1506.
Chang, H.-B., & Chen, K.-C. (2010). Auction based spectrum management of cognitive radio networks. IEEE Transactions on Vehicular Technology, 59(4), 1923–1935.
Maharjan, S., Zhang, Y., & Gjessing, S. (2011). Economic approaches for cognitive radio networks: A survey. Wireless Personal Communications, 57(1), 33–51.
Ji, Z., & Liu, K.-J.-R. (2007). Dynamic spectrum sharing: A game theoretical overview. IEEE Communications Magazine, 45(5), 88–94.
Niyato, D., & Hossain, E. (2008). Competitive spectrum sharing in cognitive radio networks: A dynamic game approach. IEEE Transactions on Wireless Communications, 7(7), 2651–2660.
Aftab, O. (2002) Economic mechanisms for efficient wireless coexistence. MIT Tech. Rep. MIT-LCSTR-876. Cambridge, MA: Mass. Inst. Technol., Press.
Iosifidis, G., & Koutsopoulos, I. (2011). Challenges in auction theory driven spectrum management. IEEE Communications Magazine, 49(8), 128–135.
Teng, Y., Zhang, Y., Dai, C., Yang, F., & Song, M. (2011) Dynamic spectrum sharing through double auction mechanism in cognitive radio networks. In Proceedings of IEEE wireless communications and networking conference (WCNC), Cancun, Quintana Roo, 28–31, pp. 90–95.
Deshmukh, K., Goldberg, A.- V., Hartline, J.- D., & Karlin, A.- R. (2002) Truthful and competitive double auctions. In Proceedings of the 10th European symposium on algorithms (ESA ‘02), September 2002.
Jackson, M.-O., & Swinkels, J.-M. (2005). Existence of equilibrium in single and double private value auctions. Econometrica, 73(1), 93–139.
Peters, M., & Severinov, S. (2006). Internet auctions with many traders. Journal of Economic Theory, 130(1), 220–245.
Kasbekar, G.-S., & Sarkar, S. (2010). Spectrum auction framework for access allocation in cognitive radio networks. IEEE/ACM Transactions on Networking, 18(6), 1841–1854.
Wang, S.- G., Xu, P., Xu, X.-H., Tang, S., Li, X.-Y., & Liu, X. (2010). TODA: Truthful online double auction for spectrum allocation in wireless networks. In Proceedings of IEEE symposium on new frontiers in dynamic spectrum, 6–9 April 2010, Singapore, pp. 1–10.
Wu, Y., Zhu, Q., Huang, J., & Tsang, D.-H.-K. (2014). Revenue sharing based resource allocation for dynamic spectrum access networks. IEEE Journal on Selected Areas in Communications, 32(11), 2280–2296.
Li, C., Liu, Z., Geng, X., Dong, M., Yang, F., Gan, X., et al. (2014). Two dimension spectrum allocation for cognitive radio networks. IEEE Transactions on Wireless Communications, 13(3), 1410–1423.
Zhang, R., & Liang, Y.-C. (2008). Exploiting multi-antennas for opportunistic spectrum sharing in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 2(1), 88–102.
Bakr, O., Johnson, M., Mudumbai, R., & Ramchandran, K. (2009). Multi-antenna interference cancellation techniques for cognitive radio applications. In Proceedings of IEEE wireless communications and networking conference (WCNC 2009), Budapest, 5–8 April, 1–6.
Chiani, M., Win, M.-Z., & Zanella, A. (2003). On the capacity of spatially correlated MIMO Rayleigh-fading channels. IEEE Transactions on Information Theory, 49(49), 2363–2371.
Jeong, W.-C., Chung, J.-M., & Liu, D. (2008). Characteristic-function-based analysis of MIMO systems applying macroscopic selection diversity in mobile communications. Journal of Electronics and Telecommunications Research Institute, 30(3), 335–364.
Ihan, H.-I., Altunbas, I., & Uysal, M. (2011). Moment generating function-based performance evaluation of amplify-and-forward relaying in N* Nakagami fading channels. IET Communications, 5(3), 253–263.
Wang, Y., & Yue, D.-W. (2009). Capacity of MIMO Rayleigh fading channels in the presence of interference and receive correlation. IEEE Transactions on Vehicular Technology, 58(8), 4398–4405.
Bixio, L., Oliveri, G., Ottonello, M., & Raffetto, M. (2010). Cognitive radios with multiple antennas exploiting spatial opportunities. IEEE Transactions on Signal Processing, 58(8), 4453–4459.
Kang, M.-S., Jung, B.-C., Sung, D.-K., & Choi, W. (2008). A pre-whitening scheme in a MIMO-based spectrum-sharing environment,”. IEEE Communications Letters, 12(11), 831–833.
Phan, K.-T., Vorobyov, S.-A., Sidiropoulos, N.-D., & Tellambura, C. (2009). Spectrum sharing in wireless networks via QoS-aware secondary multicast beam forming. IEEE Transactions on Signal Processing, 57(6), 2323–2335.
Sridharan, S., & Vishwanath, S. (2008). On the capacity of a class of MIMO cognitive radios. IEEE Journal of Selected Topics in Signal Processing, 2(1), 103–117.
Adian, M.-G., & Aghaeinia, H. (2014). Optimal resource allocation in heterogeneous MIMO cognitive radio networks. Wireless Personal Communications, 76(1), 23–39.
Rini, S., & Goldsmith, A. (2014). On the capacity of the multi-antenna Gaussian cognitive interference channel. IEEE Journal on Selected Areas in Communications, 32(11), 2252–2267.
Maharshi, A., Tong, L., & Swami, A. (2003). Cross-layer designs of multichannel reservation MAC under Rayleigh fading. IEEE Transactions on Signal Processing, 51(8), 2054–2067.
Wang, J., Li, L., Low, S. H., & Doyle, J.-C. (2005). Cross-layer optimization in TCP/IP networks. IEEE/ACM Transactions on Networking, 13(3), 582–595.
Kim, H., & Shin, K. G. (2008). Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Transactions on Mobile Computing, 7(5), 533–545.
Zhao, Q., Tong, L., Swami, A., & Chen, Y. (2007). Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework. IEEE Journal on Selected Areas in Communications, 25(3), 589–600.
Jia, J., Zhang, Q., & Shen, X. (2008). HC-MAC: A hardware-constrained cognitive MAC for efficient spectrum management. IEEE Journal on Selected Areas in Communications, 26(1), 106–117.
Cordeiro, C., & Challapali, K. (2007). C-MAC: A cognitive MAC protocol for multi-channel wireless networks. In Proceedings of 2nd IEEE international symposium on new frontiers in dynamic spectrum access networks (DySPAN), Dublin, 17–20 April 2007, pp. 147–157.
Su, H., & Zhang, X. (2008). CREAM-MAC: An efficient cognitive radio-enabled multi-channel MAC protocol for wireless networks. In Proceedings of IEEE international symposium on world of wireless, mobile and multimedia networks (WoWMoM), June 2008, Newport Beach, CA, pp. 1–8.
Le, L. B. & Hossain, E. (2008) OSA-MAC: A multi-channel MAC protocol for opportunistic spectrum access in cognitive radio networks. In Proceedings of IEEE wireless communications and networking conference (WCNC), 31 March–3 April 2008, Las Vegas, NV, pp. 1426–1430.
Lee, S. -H., Lee, B. -J., & Rhee, S. -H. (2012). Efficient utilization of available channels in dynamic spectrum access networks. Wireless Personal Communications, 67(1). http://link.springer.com/journal/11277/67/1/page/1, 95–104 August, 2012.
Papadimitratos, P., Sankaranarayanan, S., & Mishra, A. (2005). A bandwidth sharing approach to improve licensed spectrum utilization. IEEE Communications Magazine, 43(12), S10–S14.
Sabharwal, A., Khoshnevis, A., & Knightly, E. (2007). Opportunistic spectral usage: Bounds and a multi-band CSMA/CA protocol. IEEE/ACM Transactions on Networking, 15(3), 533–545.
IEEE 802.11. Wireless LAN medium access control (MAC) and physical layer (PHY) Specifications, IEEE, June 2007.
Lim, S., & Lee, T.-J. (2011). A self-scheduling multi-channel cognitive radio MAC protocol based on cooperative communications. IEICE Transactions on Communications, E94-B(6), 1657–1668.
Pandit, Shweta, & Singh, G. (2015). Backofff algorithm in cognitive radio MAC-protocol for throughput enhancement. IEEE Transactions on Vehicular Technology, 64(5), 1991–2000.
Hossain, R., Rijul, R.-H., Razzaque, M.-A., & Sarkar, A.-M.-J. (2014). Prioritized medium access control in cognitive radio ad hoc networks: Protocol and analysis. Wireless Personal Communications, 79(3), 2383–2408.
Xie, P., Li, L., Zhu, J., Zheng, R., & Zhang, M. (2015). A cooperation and access spectrum sharing protocol with cooperative interference management. Wireless Personal Communications, 81(3), 997–1015.
Lee, K., & Kim, C. (2013). Distributed sequential access MAC protocol for single hop wireless networks. Wireless Personal Communications, 72(4), 2177–2184.
Shah, G., & Akan, O. (2014). Cognitive adaptive medium access control in cognitive radio sensor networks. IEEE Transactions on Vehicular Technology, 64(2), 757–767.
Bian, K. & Park, J.-M. (2006). MAC-layer misbehaviors in multi-hop cognitive radio networks. In Proceedings of the US-Korea conference on science, technology and entrepreneurship (UKC2006), 2006, pp. 1–8.
Jain, R. (1991). The art of computer system performance analysis: Techniques for experimental design, measurement, simulation and modeling. New Delhi: Wiley.
Timmers, M., Pollin, S., Dejonghe, A., Perre, L.-V., & Catthoor, F. (2010). A distributed multichannel MAC protocol for multihop cognitive radio networks,”. IEEE Transactions on Vehicular Technology, 59(1), 446–459.
Liang, Y.-C., Zeng, Y., Peh, E.-C.-Y., & Hoang, A.-T. (2008). Sensing-throughput trade-off for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(4), 1326–1337.
Fan, R., & Jiang, H. (2010). Optimal multi-channel cooperative sensing in cognitive radio networks. IEEE Transactions on Wireless Communications, 9(3), 1128–1138.
Chu, E., Liang, Y.-C., Guan, Y.-L., & Zeng, Y. (2009). Optimization of cooperative sensing in cognitive radio networks: A sensing-throughput tradeoff view. IEEE Transactions on Vehicular Technology, 58(9), 5294–5299.
Chair, Z., & Varshney, P. K. (1986). Optimal data fusion in multiple sensor detection systems. IEEE Transactions on Aerospace and Electronic Systems, 22(1), 98–101.
Quan, Z., Cui, S., & Sayed, A. H. (2008). Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing, 2(1), 28–40.
Lee, W.-Y., & Akyildiz, I.-F. (2008). Optimal spectrum sensing framework for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(10), 3845–3857.
Akbar, I.-A. & Tranter, W.-H. (2007) Dynamic spectrum allocation in cognitive radio using hidden markov models: Poisson distributed case. In Proceedings of IEEE SoutheastCon, Richmond, VA, 22–25 March 2007, pp. 196–201.
Stotas, S. & Nallanathan, A. (2010). On the throughput maximization of spectrum sharing cognitive radio networks. In Proceedings of IEEE global telecommunications conference (GLOBECOM 2010), Miami, FL, December 6–10, pp. 1–5.
Pandit, S., & Singh, G. (2014). Throughput maximization with reduced data loss rate in cognitive radio network. Telecommunication Systems, 57(2), 209–215.
Pandit, S. (2012) Spectrum sharing in cognitive radio system for throughput optimization and interference reduction. M. Tech. Thesis, Jaypee University of Information Technology, India, May 2012.
Shannon, C. (1958). Channels with side information at the transmitter. IBM Journal of Research and Development, 2(2), 289–293.
Lee, W. (1990). Estimate of channel capacity in Rayleigh fading environment. IEEE Transactions on Vehicular Technology, 39(3), 187–189.
Ghasem, A., & Sousa, E.-S. (2007). Fundamental limits of spectrum-sharing in fading environments. IEEE Transactions on Wireless Communications, 6(2), 649–658.
Goldsmith, A.-J., & Varaiya, P.-P. (1997). Capacity of fading channels with channel side information. IEEE Transactions on Information Theory, 43(6), 1986–1992.
Alouini, M.-S., & Goldsmith, A.-J. (1999). Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques. IEEE Transactions on Vehicular Technology, 48(4), 1165–1181.
Mallik, R. K., Win, M. Z., Shao, J. W., Alouini, M.-S., & Goldsmith, A. J. (2004). Channel capacity of adaptive transmission with maximal ratio combining in correlated Rayleigh fading. IEEE Transactions on Wireless Communications, 3(4), 1124–1133.
Peppas, K., Lazarakis, F., Alexandridis, A., & Dangakis, K. (2010). Cascaded generalized-K fading channel. IET Communications, 4(1), 116–124.
Bithas, P.-S., Mathiopoulos, P.-T., & Kotsopoulos, S.-A. (2007). Diversity reception over Generalized-K (K G ) fading channels. IEEE Transactions on Wireless Communications, 6(12), 4238–4243.
Dwivedi, Vivek K., & Singh, G. (2012). A novel Marginal MGF based analysis of the channel capacity over correlated Nakagami-m fading with maximal-ratio combining diversity. Progress Electromagnetic Research B, 41, 333–356.
Dwivedi, Vivek K., & Singh, G. (2012). A novel MGF based analysis of channel capacity of generalized-K fading with maximal ratio combining diversity. Progress Electromagnetic Research C, 26, 153–165.
Renzo, M.-D., Graziosi, F., & Santucci, F. (2010). Channel capacity over generalized fading channels: A novel MGF-based approach for performance analysis and design of wireless communication systems. IEEE Transactions on Vehicular Technology, 59(1), 127–149.
Devroye, N., Mitran, P., & Tarokh, V. (2006). Achievable rates in cognitive radio channels. IEEE Transactions on Information Theory, 52(5), 1813–1827.
Chang, J.-H., Tassiulas, L., & Farrokhi, F.-R. (2002). Joint transmitter receiver diversity for efficient space division multiaccess. IEEE Transactions Wireless Communications, 1(1), 16–27.
Spencer, Q.-H., Swindlehurst, A.-L., & Haardt, M. (2004). Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Transactions on Signal Processing, 52(2), 461–471.
Jafar, S.-A., & Srinivasa, S. (2007). Capacity limits of cognitive radio with distributed and dynamic spectral activity. IEEE Journal Selected Areas in Communications, 25(3), 529–537.
Gastpar, M. (2007). On capacity under receive and spatial spectrum-sharing constraints. IEEE Transactions on Information Theory, 53(2), 471–487.
Akin, S. (2011) Wireless communications and cognitive radio transmissions under quality of service constraints and channel uncertainty. Ph. D. Thesis, University of Nebraska.
Rappaport, T. S., Shu Sun, R., Mayzus, H., Zhao, Y., Azar, K., Wang, G. N., et al. (2013). Millimeter wave mobile communications for 5G cellular: It will work! IEEE Access, 1, 335–349.
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The authors are sincerely thankful to the anonymous reviewers for critical comments and suggestions to improve the quality of the manuscript. The authors are also thankful to ISRO for project vide no. ISRO/RES/4/619/14-15.
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Pandit, S., Singh, G. An overview of spectrum sharing techniques in cognitive radio communication system. Wireless Netw 23, 497–518 (2017). https://doi.org/10.1007/s11276-015-1171-1
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DOI: https://doi.org/10.1007/s11276-015-1171-1