Guest Editorial: Nonlinear Optimization of Communication Systems

Linear programming and other classical optimization techniques have found important applications in communication systems for many decades. Recently, there has been a surge in research activities that utilize the latest developments in nonlinear optimization to tackle a much wider scope of work in the analysis and design of communication systems. These activities involve every “layer” of the protocol stack and the principles of layered network architecture itself, and have made intellectual and practical impacts significantly beyond the established frameworks of optimization of communication systems in the early 1990s. These recent results are driven by new demands in the areas of communications and networking, as well as new tools emerging from optimization theory. Such tools include the powerful theories and highly efficient computational algorithms for nonlinear convex optimization, together with global solution methods and relaxation techniques for nonconvex optimization

IEEE Access special section editorial: Artificial intelligence enabled networking

With today’s computer networks becoming increasingly dynamic, heterogeneous, and complex, there is great interest in deploying artificial intelligence (AI) based techniques for optimization and management of computer networks. AI techniques—that subsume multidisciplinary techniques from machine learning, optimization theory, game theory, control theory, and meta-heuristics—have long been applied to optimize computer networks in many diverse settings. Such an approach is gaining increased traction with the emergence of novel networking paradigms that promise to simplify network management (e.g., cloud computing, network functions virtualization, and software-defined networking) and provide intelligent services (e.g., future 5G mobile networks). Looking ahead, greater integration of AI into networking architectures can help develop a future vision of cognitive networks that will show network-wide intelligent behavior to solve problems of network heterogeneity, performance, and quality of service (QoS)

Synchronization in wireless communications

The last decade has witnessed an immense increase of wireless communications services in order to keep pace with the ever increasing demand for higher data rates combined with higher mobility. To satisfy this demand for higher data rates, the throughput over the existing transmission media had to be increased. Several techniques were proposed to boost up the data rate: multicarrier systems to combat selective fading, ultra wide band (UWB) communications systems to share the spectrum with other users, MIMO transmissions to increase the capacity of wireless links, iteratively decodable codes (e.g., turbo codes and LDPC codes) to improve the quality of the link, cognitive radios, and so forth

On general systems with network-enhanced complexities

In recent years, the study of networked control systems (NCSs) has gradually become an active research area due to the advantages of using networked media in many aspects such as the ease of maintenance and installation, the large flexibility and the low cost. It is well known that the devices in networks are mutually connected via communication cables that are of limited capacity. Therefore, some network-induced phenomena have inevitably emerged in the areas of signal processing and control engineering. These phenomena include, but are not limited to, network-induced communication delays, missing data, signal quantization, saturations, and channel fading. It is of great importance to understand how these phenomena influence the closed-loop stability and performance properties

Special Section: Moving Forward in Animal Research Ethics Guest Editorial Reassessing Animal Research Ethics

Animal research has long been a source of biomedical aspirations and moral concern. Examples of both hope and concern are abundant today. In recent months, as is common practice, monkeys have served as test subjects in promising preclinical trials for an Ebola vaccine or treatment 1 , 2 , 3 and in controversial maternal deprivation studies. 4 The unresolved tension between the noble aspirations of animal research and the ethical controversies it often generates motivates the present issue of the Cambridge Quarterly of Healthcare Ethics. As editors of this special section, we hope that these original and timely articles will push the professional discussion of animal research ethics in a positive direction that will benefi t research scientists and others interested in moral problems in animal research. We also look forward to a day when animal research will genuinely meet both appropriate scientifi c and appropriate ethical criteria—criteria that themselves can be improved by critical scrutiny. Animal research—that is, the use of live animals as experimental subjects in biomedical and behavioral fi elds of learning—has been deeply entrenched for well over half a century. One signal development was the enactment in the late 1930s of federal product safety legislation in the United States and other nations that required animal testing of food, drugs, and medical devices prior to use by human subjects or consumers. 5 Another development was the publication of codes of research ethics that called for animal research prior to human research. The Nuremberg Code, published by an American military tribunal in 1947–48 after scrutiny of Nazi medical atrocities, stated that experiments involving the use of human subjects should be " based on the results of animal experimentation. " 6 The Declaration of Helsinki, fi rst published in 1964, reaffi rmed this assumption and added, rather imprecisely, that " the welfare of animals used for research must be respected. " 7 Against the background of such statements, the institutionalization and widespread acceptance of animal research in the twentieth century rested on two basic assumptions, one factual and one moral. The factual assumption was that animal research is suffi ciently reliable as a basis for predicting the effects of drugs, products, and other materials on human beings that animal trials can be expected to yield signifi cant scientifi c conclusions and medical benefi ts to humanity

Business Process Management Education in Academia: Status, challenges, and Recommendations

In response to the growing proliferation of Business Process Management (BPM) in industry and the demand this creates for BPM expertise, universities across the globe are at various stages of incorporating knowledge and skills in their teaching offerings. However, there are still only a handful of institutions that offer specialized education in BPM in a systematic and in-depth manner. This article is based on a global educators’ panel discussion held at the 2009 European Conference on Information Systems in Verona, Italy. The article presents the BPM programs of five universities from Australia, Europe, Africa, and North America, describing the BPM content covered, program and course structures, and challenges and lessons learned. The article also provides a comparative content analysis of BPM education programs illustrating a heterogeneous view of BPM. The examples presented demonstrate how different courses and programs can be developed to meet the educational goals of a university department, program, or school. This article contributes insights on how best to continuously sustain and reshape BPM education to ensure it remains dynamic, responsive, and sustainable in light of the evolving and ever-changing marketplace demands for BPM expertise