Cognitive Radio Network-Based Design and Security Challenges in 5G Communication

This chapter deals with the main development challenges of 5G network. The 5G terminals can be made as reconfigurable multimode and cognitive radio enabled. Such networks will have software defined radio modulation schemes. The 5G mobile networks will focus on the development of the user terminals where the terminals will have access to different wireless technologies at the same time and will combine different flows from different technologies. It is beneficial to deploy cloud-computing platforms running on general-purpose hardware, leading to a cloud-RAN system. This chapter is focused on the challenges and benefits of implementing reconfigurable signal processing algorithms on a cloud-computing platform and address various security issues with cognitive radio networks. Cognitive Radio NetworkBased Design and Security Challenges in 5G Communication

[1]  Venugopal V. Veeravalli,et al.  Cooperative Sensing for Primary Detection in Cognitive Radio , 2008, IEEE Journal of Selected Topics in Signal Processing.

[2]  K. B. Letaief,et al.  Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks , 2009, IEEE Transactions on Wireless Communications.

[3]  Roberto López-Valcarce,et al.  Detection diversity of multiantenna spectrum sensors , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[4]  Yunfei Chen.  Improved energy detector for random signals in gaussian noise , 2010 .

[5]  Wenbo Wang,et al.  Investigation of Cooperation Technologies in Heterogeneous Wireless Networks , 2010, J. Comput. Networks Commun..

[6]  Liuqing Yang,et al.  Cooperative Diversity of Spectrum Sensing for Cognitive Radio Systems , 2010, IEEE Transactions on Signal Processing.

[7]  Wei Zhang,et al.  Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks - [transaction letters] , 2008, IEEE Transactions on Wireless Communications.

[8]  Frederick W. Vook,et al.  Moving Towards Mmwave-Based Beyond-4G (B-4G) Technology , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[9]  Sixing Yin,et al.  Achievable Throughput Optimization in Energy Harvesting Cognitive Radio Systems , 2015, IEEE Journal on Selected Areas in Communications.

[10]  Frank Schaich,et al.  Universal-filtered multi-carrier technique for wireless systems beyond LTE , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[11]  Swapnil Mhaske,et al.  Rapid and high-level constraint-driven prototyping using lab VIEW FPGA , 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[12]  Sungsoo Park,et al.  Cognitive Radio Networks with Energy Harvesting , 2013, IEEE Transactions on Wireless Communications.

[13]  Amir Ghasemi,et al.  Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs , 2008, IEEE Communications Magazine.

[14]  Vikram Arkalgud Chandrasetty,et al.  FPGA Implementation of High Performance LDPC Decoder Using Modified 2-Bit Min-Sum Algorithm , 2010, 2010 Second International Conference on Computer Research and Development.

[15]  Alexios Balatsoukas-Stimming,et al.  FPGA-based design and implementation of a multi-GBPS LDPC decoder , 2012, 22nd International Conference on Field Programmable Logic and Applications (FPL).

[16]  Vincent C. Gaudet,et al.  Design of High-Throughput Fully Parallel LDPC Decoders Based on Wire Partitioning , 2010, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[17]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[18]  Mohamed-Slim Alouini,et al.  Performance of Cooperative Spectrum Sensing over Non-Identical Fading Environments , 2011, IEEE Transactions on Communications.

[19]  Thomas L. Marzetta,et al.  Inter-Cell Interference in Noncooperative TDD Large Scale Antenna Systems , 2013, IEEE Journal on Selected Areas in Communications.

[20]  Kai Zhang,et al.  High-throughput layered decoder implementation for quasi-cyclic LDPC codes , 2009, IEEE Journal on Selected Areas in Communications.

[21]  Kaibin Huang,et al.  Opportunistic Wireless Energy Harvesting in Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.

[22]  R. M. A. P. Rajatheva,et al.  Energy Detection of Unknown Signals in Fading and Diversity Reception , 2011, IEEE Transactions on Communications.

[23]  H. Urkowitz.  Energy detection of unknown deterministic signals , 1967 .

[24]  Mikko A. Uusitalo,et al.  Significance of Nanotechnology for Future Wireless Devices and Communications , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[25]  Jeffrey G. Andrews,et al.  What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.

[26]  Nikil D. Dutt,et al.  Integrating Physical Constraints in HW-SW Partitioning for Architectures With Partial Dynamic Reconfiguration , 2006, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[27]  Khaled Ben Letaief,et al.  Cooperative Communications for Cognitive Radio Networks , 2009, Proceedings of the IEEE.

[28]  Adrish Banerjee,et al.  Energy Harvesting Cognitive Radio With Channel-Aware Sensing Strategy , 2014, IEEE Communications Letters.

[29]  Matthieu R. Bloch,et al.  Wireless Information-Theoretic Security , 2008, IEEE Transactions on Information Theory.

[30]  Mérouane Debbah,et al.  Massive MIMO and small cells: How to densify heterogeneous networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[31]  Ian F. Akyildiz,et al.  A survey on spectrum management in cognitive radio networks , 2008, IEEE Communications Magazine.

[32]  George K. Karagiannidis,et al.  On the Security of Cognitive Radio Networks , 2015, IEEE Transactions on Vehicular Technology.

[33]  Michael D. Zoltowski,et al.  Training Sequence Design for Feedback Assisted Hybrid Beamforming in Massive MIMO Systems , 2016, IEEE Transactions on Communications.

[34]  Maziar Nekovee.  A survey of cognitive radio access to TV White Spaces , 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

[35]  Risto Wichman,et al.  Vision for Beyond 4G broadband radio systems , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[36]  Sachin Katti,et al.  SoftRAN: software defined radio access network , 2013, HotSDN '13.

[37]  Ahsan Aziz,et al.  High-Throughput FPGA-Based QC-LDPC Decoder Architecture , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[38]  Friedrich Jondral,et al.  Software-Defined Radio—Basics and Evolution to Cognitive Radio , 2005, EURASIP J. Wirel. Commun. Netw..

[39]  Joseph R. Cavallaro,et al.  VLSI Architecture for Layered Decoding of QC-LDPC Codes With High Circulant Weight , 2013, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.