Abstract
Cognitive radio (CR) and multiple-input multiple-output (MIMO) are two independent physical layer technologies that have made significant impact on wireless networks. In particular, CR operates on the channel level to exploit efficiency across spectrum dimension, while MIMO operates within the same channel to exploit efficiency across spatial dimension. In this chapter, we explore MIMO-empowered CR technique to enhance spectrum access in wireless networks. Specially, we study how to apply MIMO-empowered CR for both interweave and underlay paradigms in multi-hop network environment. With MIMO interference cancelation (IC) capability, we first show how multiple secondary links achieve simultaneous transmission on the same channel under the interweave paradigm. Next, we show how secondary networks achieve simultaneously transmission with the primary network on same channel to achieve transparent coexistence under the underlay paradigm. Through rigorous mathematical modeling, problem formulation, and extensive simulation results, we find that MIMO-empowered CR can offer significant improvement in terms of spectrum access and throughput performance under both interweave and underlay paradigms.
References
Bakr O, Johnson M, Mudumbai R, Ramchandran K (2009) Multi-antenna interference cancellation techniques for cognitive radio applications. In: Proceedings of the IEEE WCNC, Budapest, pp 1–6
Biglieri E, Calderbank R, Constantinides A, Goldsmith A, Paulraj A, Poor HV (2007) MIMO wireless communications. Cambridge University Press, Cambridge
Caire G, Shamai S (2003) On the achievable throughput of a multiantenna gaussian broadcast channel. IEEE Trans Inf Theory 49(7):1691–1706
Foschini GJ (1996) Layered space-time architecture for wireless communication in a fading envorinment when using multi-element antennas. Bell Labs Tech J 1(2):41–59
Gao F, Zhang R, Liang Y-C, Wang X (2010) Design of learning-based MIMO cognitive radio systems. IEEE Trans Veh Tech 59(4):1707–1720
Gesbert D, Shafi M, Shiu DS, Smith PJ, Naguib A (2003) From theory to practice: an overview of MIMO space-time coded wireless systems. IEEE J Sel Areas Commun 21(3):281–302
Goldsmith A, Jafar SA, Maric I, Srinivasa S (2009) Breaking spectrum gridlock with cognitive radios: an information theoretic perspective. Proc IEEE 97(5):894–914
Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 23(2):201–220
Hou YT, Shi Y, Sherali HD (2008) Spectrum sharing for multi-hop networking with cognitive radios. IEEE J Sel Areas Commun 26(1):146–155
Joint Tactical Radio System. http://www.globalsecurity.org/military/systems/ground/jtrs.htm/
Kim S-J, Giannakis GB (2011) Optimal resource allocation for MIMO ad hoc cognitive radio networks. IEEE Trans Inf Theory 57(5):3117–3131
Poon ASY, Brodersen RW, Tse DNC (2005) Degrees of freedom in multiple-antenna channels: a signal space approach. IEEE Trans Inf Theory 51(2):523–536
Sengupta S, Subbalakshmi KP (2013) Open research issues in multi-hop cognitive radio networks. IEEE Commun Mag 52(4):168–176
Sherali HD, Adams WP (1999) A reformulation-linearization technique for solving discrete and continuous nonconvex problems, Chapter 8. Kluwer Academic Publishers, Dordrecht
Shi Y, Liu J, Jiang C, Gao C, Hou YT (2014) A DoF-based link layer model for multi-hop MIMO networks. IEEE Trans Mob Comput 12(7):1395–1408
Smith GS (2004) A direct derivation of a single-antenna reciprocity relation for the time domain. IEEE Trans Antennas Propag 52(6):1568–1577
Telatar IE (1999) Capacity of multi-antenna gaussian channels. Eur Trans Telecommun 10(6):585–596
Tse D, Viswanath P (2005) Fundamentals of wireless communication. Cambridge University Press, Cambridge
Vanu Inc. http://www.vanu.com/
Viswanathan H, Venkatesan S, Huang H (2003) Downlink capacity evaluation of cellular networks with known-interference cancellation. IEEE J Sel Areas Commun 21(5):802–811
Wyglinski A, Nekovee M, Hou YT (eds) (2009) Cognitive radio communications and networks: principles and practice. Elsevier. ISBN-13:978-0-12-374715-0
Zhang R, Liang Y-C (2008) Exploiting multi-antennas for opportunistic spectrum sharing in cognitive radio networks. IEEE J Sel Top Signal Process 2(1):88–102
Zhang YJ, So AM-C (2011) Optimal spectrum sharing in MIMO cognitive radio networks via semidefinite programming. IEEE J Sel Areas Commun 29(2):362–373
Further Reading
Shi Y, Hou YT (2007) Optimal power control for multi-hop software defined radio networks. In: Proceedings of the IEEE INFOCOM, Anchorage, pp 1694–1702
Acknowledgements
This work was supported in part by the US National Science Foundation (NSF) under Grants 1642873, 1617634, 1443889, 1343222, 1102013, and 1443434 and the Office of Naval Research Grant N00014-15-1-2926. Part of W. Lou’s work was completed while she was serving as a Program Director at the NSF. Any opinion, findings, and conclusions or recommendations expressed in this chapter are those of the authors and do not reflect the views of the NSF. The authors thank Virginia Tech Advanced Research Computing for giving them access to the BlueRidge computer cluster.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this entry
Cite this entry
Yuan, X. et al. (2017). MIMO-Empowered Secondary Networks for Efficient Spectrum Sharing. In: Zhang, W. (eds) Handbook of Cognitive Radio . Springer, Singapore. https://doi.org/10.1007/978-981-10-1389-8_29-1
Download citation
DOI: https://doi.org/10.1007/978-981-10-1389-8_29-1
Received:
Accepted:
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-1389-8
Online ISBN: 978-981-10-1389-8
eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering