Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling

For a base station that supports cellular communications in sub-6 GHz LTE and millimeter (mmWave) bands, we propose a supervised machine learning algorithm to improve the success rate in the handover between the two radio frequencies using sub-6 GHz and mmWave prior channel measurements within a temporal window. The main contributions of our paper are to 1) introduce partially blind handovers, 2) employ machine learning to perform handover success predictions from sub-6 GHz to mmWave frequencies, and 3) show that this machine learning based algorithm combined with partially blind handovers can improve the handover success rate in a realistic network setup of colocated cells. Simulation results show improvement in handover success rates for our proposed algorithm compared to standard handover algorithms.Comment: (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work

Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement

We propose an algorithm to automate fault management in an outdoor cellular network using deep reinforcement learning (RL) against wireless impairments. This algorithm enables the cellular network cluster to self-heal by allowing RL to learn how to improve the downlink signal to interference plus noise ratio through exploration and exploitation of various alarm corrective actions. The main contributions of this paper are to 1) introduce a deep RL-based fault handling algorithm which self-organizing networks can implement in a polynomial runtime and 2) show that this fault management method can improve the radio link performance in a realistic network setup. Simulation results show that our proposed algorithm learns an action sequence to clear alarms and improve the performance in the cellular cluster better than existing algorithms, even against the randomness of the network fault occurrences and user movements.Comment: (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work

A Quick Primer on Machine Learning in Wireless Communications

This is a first draft of a quick primer on the use of Python (and relevant libraries) to build a wireless communication prototype that supports multiple-input and multiple-output (MIMO) systems with orthogonal frequency division multiplexing (OFDM) in addition to some machine learning use cases. This primer is intended to empower researchers with a means to efficiently create simulations. This draft is aligned with the syllabus of a graduate course we created to be taught in Fall 2022 and we aspire to update this draft occasionally based on feedback from the larger research community.Comment: 12 pages, 2 figure

Session 4-1-A: Roman Addiction: The Changing Perception of Problem Gaming in the Roman World

Describes the perception of problem gambling in ancient Rome

Aspects of fiscal structure & policy in Iraq, 1953-1963 –with reference to their effects on economic development

The present study is basically a study of the main aspects of fiscal structure and policy in Iraq during 1953-1963, and with reference to their effects on economic growth in Iraq. The study is divided into five chapter s and three appendices. Chapter one deals mainly with the exposition of the national accounts of the Iraqi economy, with some emphasis on the role of the government’s sector. This chapter forms the factual background against which problems of fiscal structure and policy in Iraq are examined. Since the exposition in chapter one has been based mainly on one single source of statistical material on the national accounts of Iraq, other alternative estimates are shown in Appendix 1. Appendix 2 includes a brief survey of the major conceptual problems involved in the measurement of national income. Chapter two includes a detailed analysis of the role of fiscal policy in accelerating the growth rate of an underdeveloped economy. While it has been attempted to analyse a wide range of problems involved in fiscal policy the problem of the effect of fiscal policy on the rate of capital formation was stressed in particular, since the rate of capital formation is viewed as the primary parameter of growth. Hence, chapter two forms the analytical background against which problems of fiscal structure and policy in Iraq are examined. Chapter three examines the revenue system and tax policy in Iraq. The first three sections examine the revenue system in general, while the forth section includes a detailed analysis of tax policy in Iraq. This is done mainly against the factual and analytical backgrounds already developed in the previous two chapters. Chapter four includes a detailed examination of the pattern of government expenditure in Iraq, mainly with reference to its possible effect on the rate of capital formation in the economy. Chapter five includes the summary and conclusions of the study. Finally, all tables are included in the statistical appendix