On the Achievable Rates of Decentralized Equalization in Massive MU-MIMO Systems

Massive multi-user (MU) multiple-input multiple-output (MIMO) promises significant gains in spectral efficiency compared to traditional, small-scale MIMO technology. Linear equalization algorithms, such as zero forcing (ZF) or minimum mean-square error (MMSE)-based methods, typically rely on centralized processing at the base station (BS), which results in (i) excessively high interconnect and chip input/output data rates, and (ii) high computational complexity. In this paper, we investigate the achievable rates of decentralized equalization that mitigates both of these issues. We consider two distinct BS architectures that partition the antenna array into clusters, each associated with independent radio-frequency chains and signal processing hardware, and the results of each cluster are fused in a feedforward network. For both architectures, we consider ZF, MMSE, and a novel, non-linear equalization algorithm that builds upon approximate message passing (AMP), and we theoretically analyze the achievable rates of these methods. Our results demonstrate that decentralized equalization with our AMP-based methods incurs no or only a negligible loss in terms of achievable rates compared to that of centralized solutions.Comment: Will be presented at the 2017 IEEE International Symposium on Information Theor

Vertically Integrated Projects (VIP) Programs: Multidisciplinary Projects with Homes in Any Discipline

A survey of papers in the ASEE Multidisciplinary Engineering Division over the last three years shows three main areas of emphasis: individual courses; profiles of specific projects; and capstone design courses. However, propagating multidisciplinary education across the vast majority of disciplines offered at educational institutions with varying missions requires models that are independent of the disciplines, programs, and institutions in which they were originally conceived. Further, models that can propagate must be cost effective, scalable, and engage and benefit participating faculty. Since 2015, a consortium of twenty-four institutions has come together around one such model, the Vertically Integrated Projects (VIP) Program. VIP unites undergraduate education and faculty research in a team-based context, with students earning academic credits toward their degrees, and faculty and graduate students benefitting from the design/discovery efforts of their multidisciplinary teams. VIP integrates rich student learning experiences with faculty research, transforming both contexts for undergraduate learning and concepts of faculty research as isolated from undergraduate teaching. It provides a rich, cost-effective, scalable, and sustainable model for multidisciplinary project-based learning. (1) It is rich because students participate multiple years as they progress through their curriculum; (2) It is cost-effective since students earn academic credit instead of stipends; (3) It is scalable because faculty can work with teams of students instead of individual undergraduate research fellows, and typical teams consist of fifteen or more students from different disciplines; (4) It is sustainable because faculty benefit from the research and design efforts of their teams, with teams becoming integral parts of their research. While VIP programs share key elements, approaches and implementations vary by institution. This paper shows how the VIP model works across sixteen different institutions with different missions, sizes, and student profiles. The sixteen institutions represent new and long-established VIP programs, varying levels of research activity, two Historically Black Colleges and Universities (HBCUs), a Hispanic-Serving Institution (HSI), and two international universities1. Theses sixteen profiles illustrate adaptability of the VIP model across different academic settings

Decentralized Data Detection for Massive MU-MIMO on a Xeon Phi Cluster

Conventional centralized data detection algorithms for massive multi-user multiple-input multiple-output (MU-MIMO) systems, such as minimum mean square error (MMSE) equalization, result in excessively high raw baseband data rates and computing complexity at the centralized processing unit. Hence, practical base-station (BS) designs for massive MU-MIMO that rely on state-of-the-art hardware processors and I/O interconnect standards must find new means to avoid these bottlenecks. In this paper, we propose a novel decentralized data detection method, which partitions the BS antenna array into separate clusters. Each cluster is associated with independent computing hardware to perform decentralized data detection, which requires only local channel state information and receive data, and a minimum amount of information exchange between clusters. To demonstrate the benefits of our approach, we map our algorithm to a Xeon Phi cluster, which shows that BS designs with hundreds or thousands of BS antennas can be supported

Archibald Reiss Days : Thematic conference proceedings of international significance : International Scientific Conference, Belgrade, 7-9 November 2017

In front of you is the Thematic Collection of Papers presented at the International Scientific Conference “Archibald Reiss Days”, which was organized by the Academy of Criminalistic and Police Studies in Belgrade, in cooperation with the Ministry of Interior and the Ministry of Education, Science and Technological Development of the Republic of Serbia, School of Criminal Justice, Michigan State University in USA, School of Criminal Justice University of Laussane in Switzerland, National Police Academy in Spain, Police Academy Szczytno in Poland, National Police University of China, Lviv State University of Internal Affairs, Volgograd Academy of the Russian Internal Affairs Ministry, Faculty of Security in Skopje, Faculty of Criminal Justice and Security in Ljubljana, Police Academy “Alexandru Ioan Cuza“ in Bucharest, Academy of Police Force in Bratislava, Faculty of Security Science University of Banja Luka, Faculty for Criminal Justice, Criminology and Security Studies University of Sarajevo, Faculty of Law in Montenegro, Police Academy in Montenegro and held at the Academy of Criminalistic and Police Studies, on 7, 8 and 9 November 2017.The International Scientific Conference “Archibald Reiss Days” is organized for the seventh time in a row, in memory of the founder and director of the first modern higher police school in Serbia, Rodolphe Archibald Reiss, after whom the Conference was named. The Thematic Collection of Papers contains 131 papers written by eminent scholars in the field of law, security, criminalistics, police studies, forensics, informatics, as well as by members of national security system participating in education of the police, army and other security services from Belarus, Bosnia and Herzegovina, Bulgaria, Bangladesh, Abu Dhabi, Greece, Hungary, Macedonia, Romania, Russian Federation, Serbia, Slovakia, Slovenia, Czech Republic, Switzerland, Turkey, Ukraine, Italy, Australia and United Kingdom. Each paper has been double-blind peer reviewed by two reviewers, international experts competent for the field to which the paper is related, and the Thematic Conference Proceedings in whole has been reviewed by five competent international reviewers.The papers published in the Thematic Collection of Papers provide us with the analysis of the criminalistic and criminal justice aspects in solving and proving of criminal offences, police organization, contemporary security studies, social, economic and political flows of crime, forensic linguistics, cybercrime, and forensic engineering. The Collection of Papers represents a significant contribution to the existing fund of scientific and expert knowledge in the field of criminalistic, security, penal and legal theory and practice. Publication of this Collection contributes to improving of mutual cooperation between educational, scientific and expert institutions at national, regional and international level

XXIII Edición del Workshop de Investigadores en Ciencias de la Computación : Libro de actas

Compilación de las ponencias presentadas en el XXIII Workshop de Investigadores en Ciencias de la Computación (WICC), llevado a cabo en Chilecito (La Rioja) en abril de 2021.Red de Universidades con Carreras en Informátic