European Union non-discrimination law and intersectionality:Investigating the triangle of racial, gender and disability discrimination

This book contributes to a critical reflection of current legislative and jurisprudential developments in Non-Discrimination Law, focusing on the European Union. The book is focused on intersectionality between gender, race and disability and the question of whether, and to what extent, this intersection can be adequately addressed in (EU) law. The discussion rests on two basic assumptions. First, the multiplication of 'discrimination grounds' in EU law and other legal regimes should not result in a dilution of the demands of equality law. Accordingly, the book focuses on the three key grounds - race, gender and disability. These constitute nodes around which other discrimination grounds can be grouped. Second, any multi-ground non-discrimination law framework needs to engage with the question of discrimination on several grounds. This book provides a critical evaluation of some of the problems presented by such intersectionality and an opportunity to explore the issues in depth. This collection offers some new proposals relating to the regrouping of identity categories and to the general approach to socio-legal research in the field. It also contains a comparative section, which expands on practical experiences with intersectionality and law, and a section dedicated to juridical responses to intersectionality.

Gendered Violence and International Human Rights: Thinking Non-Discrimination Beyond the Sex Binary

The concept of non-discrimination has been central in the feminist challenge to gendered violence within international human rights law. This article critically explores non-discrimination and the challenge it seeks to pose to gendered violence through the work of Judith Butler. Drawing upon Butler’s critique of heteronormative sex/gender, the article utilises an understanding of gendered violence as effected by the restrictive scripts of sex/gender within heteronormativity to illustrate how the development of non-discrimination within international human rights law renders it ineffective to challenge gendered violence due to its own commitments to binarised and asymmetrical sex/gender. However, the article also seeks to encourage a reworking of non-discrimination beyond the heteronormative sex binary through employing Butler’s concept of cultural translation. Analysis via the lens of cultural translation reveals the fluidity of non-discrimination as a universal concept and offers new possibilities for feminist engagement with universal human rights.

Intersectionality and the Notion of Disability in EU discrimination law

Defining the characteristics targeted by banning discrimination constitutes a central challenge for EU discrimination law, and defining disability is particular-ly challenging due to the dispute around the very concept of disability. From 2006, the Court of Justice has wrestled with this definition in six judgments, five of which were delivered from 2013. Instead of classifying the case law definition as conforming to a medical or social model of disability, this article analyses the case law with a view to illustrate challenges of defining discrimination grounds generally, demanding that a sufficiently precise and non-exclusive definition of each discrimination ground can be achieved by re-focusing EU discrimination law around the nodes of sex, race and disability. The analysis exposes that the ECJ definition of disability neither complies with the UN CRPD nor adequately responds to intersectionality theory, for example because the definition is exclu-sionary in relation to female experience of disability.

Statistical Eigenmode Transmission for the MU-MIMO Downlink in Rician Fading

In this paper, we study the achievable ergodic sum-rate of multiuser multiple-input multiple-output downlink systems in Rician fading channels. We first derive a lower bound on the average signal-to-leakage-and-noise ratio by using the Mullen’s inequality, and then use it to analyze the effect of channel mean information on the achievable ergodic sum-rate. A novel statistical-eigenmode space-division multiple-access (SESDMA) downlink transmission scheme is then proposed. For this scheme, we derive an exact analytical closed-form expression for the achievable ergodic rate and present tractable tight upper and lower bounds. Based on our analysis, we gain valuable insights into the system parameters, such as the number of transmit antennas, the signal-to-noise ratio (SNR) and Rician K-factor on the system sum-rate. Results show that the sum-rate converges to a saturation value in the high SNR regime and tends to a lower limit for the low Rician K-factor case. In addition, we compare the achievable ergodic sum-rate between SE-SDMA and zeroforcing beamforming with perfect channel state information at the base station. Our results reveal that the rate gap tends to zero in the high Rician K-factor regime. Finally, numerical results are presented to validate our analysis.

Statistical data correction for unreliable memories

In this paper, we introduce a statistical data-correction framework that aims at improving the DSP system performance in presence of unreliable memories. The proposed signal processing framework implements best-effort error mitigation for signals that are corrupted by defects in unreliable storage arrays using a statistical correction function extracted from the signal statistics, a data-corruption model, and an application-specific cost function. An application example to communication systems demonstrates the efficacy of the proposed approach.

On the statistical memory architecture exploration and optimization

The worsening of process variations and the consequent increased spreads in circuit performance and consumed power hinder the satisfaction of the targeted budgets and lead to yield loss. Corner based design and adoption of design guardbands might limit the yield loss. However, in many cases such methods may not be able to capture the real effects which might be way better than the predicted ones leading to increasingly pessimistic designs. The situation is even more severe in memories which consist of substantially different individual building blocks, further complicating the accurate analysis of the impact of variations at the architecture level leaving many potential issues uncovered and opportunities unexploited. In this paper, we develop a framework for capturing non-trivial statistical interactions among all the components of a memory/cache. The developed tool is able to find the optimum memory/cache configuration under various constraints allowing the designers to make the right choices early in the design cycle and consequently improve performance, energy, and especially yield. Our, results indicate that the consideration of the architectural interactions between the memory components allow to relax the pessimistic access times that are predicted by existing techniques.

A Statistical Characterization of Shadowed Fading in Indoor Off-Body Communications Channels At 5.8 GHz

This paper investigates the characteristics of the shadowed fading observed in off-body communications channels at 5.8 GHz using the κ-μ / gamma composite fading model. Realistic measurements have been conducted considering four individual scenarios namely line of sight (LOS) and non-LOS (NLOS) walking, rotation and random movements within an indoor laboratory environment. It is shown that the κ-μ / gamma composite fading model provides a better fit to the fading observed in off-body communications channels compared to the conventional Nakagami-m and Rician fading models.

Shadowed Fading in Indoor Off-Body Communications Channels: A Statistical Characterization using the κ – μ / Gamma Composite Fading Model

This paper investigates the characteristics of the shadowed fading observed in off-body communications channels at 5.8 GHz. This is realized with the aid of the $\kappa-\mu$ / gamma composite fading model which assumes that the transmitted signal undergoes $\kappa-\mu$ fading which is subject to \emph{multiplicative} shadowing. Based on this, the total power of the multipath components, including both the dominant and scattered components, is subject to non-negligible variations that follow the gamma distribution. For this model, we present an integral form of the probability density function (PDF) as well as important analytic expressions for the PDF, cumulative distribution function, moments and moment generating function. In the case of indoor off-body communications, the corresponding measurements were carried out in the context of four explicit individual scenarios namely: line of sight (LOS) and non-LOS (NLOS) walking, rotational and random movements. The measurements were repeated within three different indoor environments and considered three different hypothetical body worn node locations. With the aid of these results, the parameters for the $\kappa-\mu$ / gamma composite fading model were estimated and analyzed extensively. Interestingly, for the majority of the indoor environments and movement scenarios, the parameter estimates suggested that dominant signal components existed even when the direct signal path was obscured by the test subject's body. Additionally, it is shown that the $\kappa-\mu$ / gamma composite fading model provides an adequate fit to the fading effects involved in off-body communications channels. Using the Kullback-Leibler divergence, we have also compared our results with another recently proposed shadowed fading model, namely the $\kappa-\mu$ / lognormal LOS shadowed fading model. It was found that the $\kappa-\mu$ / gamma composite fading model provided a better fit for the majority of the scenarios considered in this study.

Statistical Tests for Joint Analysis of Performance Measures

Recently there has been an increasing interest in the development of new methods using Pareto optimality to deal with multi-objective criteria (for example, accuracy and architectural complexity). Once one has learned a model based on their devised method, the problem is then how to compare it with the state of art. In machine learning, algorithms are typically evaluated by comparing their performance on different data sets by means of statistical tests. Unfortunately, the standard tests used for this purpose are not able to jointly consider performance measures. The aim of this paper is to resolve this issue by developing statistical procedures that are able to account for multiple competing measures at the same time. In particular, we develop two tests: a frequentist procedure based on the generalized likelihood-ratio test and a Bayesian procedure based on a multinomial-Dirichlet conjugate model. We further extend them by discovering conditional independences among measures to reduce the number of parameter of such models, as usually the number of studied cases is very reduced in such comparisons. Real data from a comparison among general purpose classifiers is used to show a practical application of our tests.

A statistical framework for channel availability modelling in the polarisation domain

Cognitive radio has been proposed as a means of improving the spectrum utilisation and increasing spectrum efficiency of wireless systems. This can be achieved by allowing cognitive radio terminals to monitor their spectral environment and opportunistically access the unoccupied frequency channels. Due to the opportunistic nature of cognitive radio, the overall performance of such networks depends on the spectrum occupancy or availability patterns. Appropriate knowledge on channel availability can optimise the sensing performance in terms of spectrum and energy efficiency. This work proposes a statistical framework for the channel availability in the polarization domain. A Gaussian Normal approximation is used to model real-world occupancy data obtained through a measurement campaign in the cellular frequency bands within a realistic scenario.

Revisiting intersectionality for EU Anti-Discrimination Law in an economic crisis –a critical legal studies perspective

This article discusses the role of EU anti-discrimination law in challenging EU anti-crisis measures from a critical legal studies perspective. Critical legal scholarship is defined through its challenge of ‘lex’ through the vision of ‘ius’ and its critical links with social movements. EU anti-discrimination law attracts critique for constituting a compartmentalised socio-legal field, which prevents justice for those at intersections of inequalities. By defining as the aim of anti-discrimination law the combat of disadvantage resulting from ascribed otherness around the nodes sex/gender, race/ethnicity, and disability, the article suggests a convincing normative vision suitable to de-compartmentalise the field and adequately address intersectionality. This critical legal perspective on intersectionality differs from its sociological counterparts by omitting class as a category. The article demonstrates that this distinction is necessary for EU anti-discrimination law to maintain its critical edge.