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The European Union's General Data Protection Regulation (GDPR) demands significant data protection safeguards and poses both new challenges and potential opportunities to organizations around the world. Most organizations are not yet adequately prepared for compliance with the GDPR. To minimize liability under the GDPR, organizations around the world need to make changes to be in compliance with the GDPR. This editorial preface discusses GDPR's impact on global technology development including both challenges and opportunities. Furthermore, we discuss how China and the U.S., the two leading global economic power, can better respond to the challenges and opportunities brought up by GDPR.

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Rendezvous is a fundamental operation in cognitive radio networks (CRNs) for establishing a communication link on a commonly-available channel between cognitive users. The existing works on rendezvous implicitly assume that each cognitive user is equipped with one radio (i.e., one wireless transceiver). As the cost of wireless transceivers is dropping, this feature can be exploited to significantly improve the rendezvous performance at low cost. In this study, we investigate the rendezvous problem in CRNs where cognitive users are equipped with multiple radios and different users may have different number of radios. We first study how the existing rendezvous algorithms can be generalized to use multiple radios for faster rendezvous. We then propose a new rendezvous algorithm, called role-based parallel sequence (RPS), which specifically exploits multiple radios for more efficient rendezvous. Our basic idea is to let the cognitive users stay in a specific channel in one dedicated radio and hop on the available channels with parallel sequences in the remaining general radios. We prove that our algorithm provides guaranteed rendezvous and derive the maximum timeto-rendezvous (TTR) and upper-bounds on the expected TTR. Extensive experiments are conducted to evaluate the proposed solutions.