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Fully Decentralized Approximate Zero-Forcing Precoding for Massive MIMO Systems

We analyze the downlink of a massive multiuser multiple input, multiple output (MIMO) system where antenna units at the base station are connected in a daisy chain without a central processing unit and only possess local channel knowledge. For this setup, we develop and analyze a linear precoding algorithm for suppressing interuser interference. It is demonstrated that the algorithm is close to ze

ComPOS : Composing Oblivious Services

Future internet-of-things systems need to be able to combine heterogeneous services and support weak connectivity. In this paper, we introduce ComPOS, a new domain-specific language for composing services in IoT systems. We show how Maria, a bird watcher, can use ComPOS to build a system that allows her to spy on birds in the garden while she is not at home. We demonstrate how ComPOS handles the u

Geometry-Based Stochastic Channel Model for High-Speed Railway Communications

Reliable wireless communication links are a critical but challenging aspect for high-speed railway (HSR). To develop and analyze such systems, accurate models for the propagation channel are required. The radio channel properties in HSR scenarios are different from those in cellular scenarios not only due to the high velocity, but also due to the special construction elements and the type of surro

A programmable 16-lane SIMD ASIP for massive MIMO

This paper presents a 16-lane, 16-bit complex application-specific instruction processor (ASIP) for baseband processing in massive multiple-input multiple-output (MIMO). The architecture utilizes a 3/4-way very large instruction word (VLIW) with highly efficient pre- and post-processing units specifically trimmed for massive MIMO requirements. Architecture optimizations include features like singl

Phase Noise Compensation for OFDM Systems Exploiting Coherence Bandwidth

Millimeter-wave (mmWave) systems must overcome severe phase noise impairment to exploit its full advantage (e.g. high data rate). However, the estimation of phase noise combined with wireless channel requires not only high-computational complexity, but also does not guarantee a stable solution. In this paper, the fact that the coherence bandwidth of a mmWave system is much larger than those of con

Radio channel measurement and modelling techniques

This chapter is dedicated to radio channel measurement and modelling techniques for beyond 4G networks, in particular: • new measurement techniques not only targeting radio channels, but also material properties in new frequency bands (Section 9.1), • improved physical models, cowering full-wave as well as ray-based methods, with a specific sub-section dealing with diffuse scattering (DS) and comp

Harmonic Oscillators in CMOS—A Tutorial Overview

The harmonic oscillator is a truly irreplaceable as well as ubiquitous analog integrated circuit. Starting from the basics of its CMOS implementation, we will discuss the phase noise of the harmonic oscillator in some detail, where the intrinsic large-signal operation mandates a time-variant analysis. This will be followed by a survey of the most popular design techniques enabling a low phase nois

Molecular rearrangement of bicyclic peroxy radicals is a key route to aerosol from aromatics

The oxidation of aromatics contributes significantly to the formation of atmospheric aerosol. Using toluene as an example, we demonstrate the existence of a molecular rearrangement channel in the oxidation mechanism. Based on both flow reactor experiments and quantum chemical calculations, we show that the bicyclic peroxy radicals (BPRs) formed in OH-initiated aromatic oxidation are much less stab

Breaking down and making up - a lens for conversing with compilers

This paper proposes a ‘tool for thinking with’: that we can describe the interaction between people and computers, and especially people and developer tools, as a form of conversation. We outline this perspective, construct a work in progress analytical frame, and use it to talk about a couple of different examples and draw implications for future work.

Property probes: : source code based exploration of program analysis results

We present property probes, a mechanism for helping a developer interactively explore partial program analysis results in terms of the source program, and as the program is edited. A node locator data structure is introduced that maps between source code spans and program representation nodes, and that helps identify probed nodes in a robust way, after modifications to the source code. We have dev

Learning Optimal Team-Decisions

In this paper, we linear quadratic team decision problems, where a team of agents minimizes a convex quadratic cost function over T time steps subject to possibly distinct linear measurements of the state of nature. We assume that the state of nature is a Gaussian random variable and that the agents do not know the cost function nor the linear functions mapping the state of nature to their measure

On Infinite-horizon System Level Synthesis Problems

System level synthesis is a promising approach that formulates structured optimal controller synthesis problems as convex problems. This work solves the distributed linear-quadratic regulator problem under communication constraints directly in infinite-dimensional space, without the finite-impulse response relaxation common in related work. Our method can also be used to construct optimal distribu

Principles and Patterns of JastAdd-Style Reference Attribute Grammars

Reference attribute grammars (RAGs) have reached a level of maturity where they are supported by several tools, and have gained traction in both academic and industrial language tool development. However, despite a lot of accumulated knowledge of how to best develop RAGs in practice, there is limited support to guide practitioners.In this paper, we address this issue by focusing on one RAG tool, J

Do preparatory programming lab sessions contribute to even work distribution in student teams?

Unfair work distribution is common in project-based learning with teams of students. One contributing factor is that students are differently skilled developers. To mitigate the differences in a course with group work, we introduced mandatory programming lab sessions. The intervention did not affect the work distribution, showing that more is needed to balance the workload. Contrary to our goal, t

Introducing programming and digital competence in Swedish K-9 education

The role of computer science and IT in Swedish schools has varied throughout the years. In fall 2014, the Swedish government gave the National Agency for Education (Skolverket) the task of preparing a proposal for K–9 education on how to better address the competences required in a digitalized society. In June 2016, Skolverket handed over a proposal introducing digital competence and programming a

A theory of openness for software engineering tools in software organizations

Context: The increased use of Open Source Software (OSS) affects how software-intensive product development organizations (SIPDO) innovate and compete, moving them towards Open Innovation (OI). Specifically, software engineering tools have the potential for OI, but require better understanding regarding what to develop internally and what to acquire from outside the organization, and how to cooper

Temporal Analysis of Measured LOS Massive MIMO Channels with Mobility

The first measured results for massive multiple-input, multiple-output (MIMO) performance in a line-of-sight (LOS) scenario with moderate mobility are presented, with 8 users served by a 100 antenna base Station (BS) at 3.7 GHz. When such a large number of channels dynamically change, the inherent propagation and processing delay has a critical relationship with the rate of change, as the use of o