Guest Editorial Spectrum Sharing and Aggregation for Future Wireless Networks, Part II

T. A. Tsiftsis is with the School of Engineering, Nazarbayev University, Astana 010000, Kazakhstan, and also with the Technological Educational Institute of Central Greece, 35100 Lamia, Greece (e-mail: [email protected]; [email protected]). G. Ding is with the College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China, and also with the National Mobile Communications Research Laboratory, Southeast University, Nanjing 210018, China (e-mail: [email protected]). Y. Zou is with the School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China (e-mail: [email protected]). G. K. Karagiannidis is with the Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece (e-mail: [email protected]). Z. Han is with the Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77005 USA (e-mail: [email protected]). L. Hanzo is with the School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, U.K. (e-mail: [email protected]). Digital Object Identifier 10.1109/JSAC.2016.2616287 posed by new applications, such as machine-to-machine com27 munications and the Internet of Things. Furthermore, it brings 28 together two the major regulatory approaches, such as those by 29 the UK’s Ofcom and that of the European Commission, which 30 currently represent influential efforts in terms of providing 31 spectrum assignment authorities with robust spectrum sharing 32 frameworks. The authors also discuss a number of compelling 33 policy definition tools likely to be implemented. 34