Fundamental Limits of Caching with Secure Delivery

Caching is emerging as a vital tool for alleviating the severe capacity crunch in modern content-centric wireless networks. The main idea behind caching is to store parts of popular content in end-users' memory and leverage the locally stored content to reduce peak data rates. By jointly designing content placement and delivery mechanisms, recent works have shown order-wise reduction in transmission rates in contrast to traditional methods. In this work, we consider the secure caching problem with the additional goal of minimizing information leakage to an external wiretapper. The fundamental cache memory vs. transmission rate trade-off for the secure caching problem is characterized. Rather surprisingly, these results show that security can be introduced at a negligible cost, particularly for large number of files and users. It is also shown that the rate achieved by the proposed caching scheme with secure delivery is within a constant multiplicative factor from the information-theoretic optimal rate for almost all parameter values of practical interest

Impact of Energy Mix on Nitrous Oxide Emissions: An Environmental Kuznets Curve approach for APEC countries

There is a limited number of studies on the estimation of Environmental Kuznets Curve (EKC) hypothesis for Nitrous Oxide (N2O) emissions, though it is one of the most harmful greenhouse gases (GHGs) present in ambient atmosphere. In the wake of industrialization, it is necessary to understand the impact of energy consumption pattern on N2O emissions and revise the energy policies accordingly. In this study, we have analysed the impact of renewable and fossil fuel energy consumptions on N2O emissions for APEC countries over the period of 1990-2015, and the analysis has been carried out following the EKC hypothesis framework. The results obtained from the study indicate the efficacy of the renewable energy solutions in having positive impact on environmental quality by helping to reduce the level of N2O emissions. The policy implications derived the results are designed keeping the objectives of Sustainable Development Goals (SDGs) in mind, so that the energy policies can bring forth sustainability in the economic systems in these nations

Impact of Energy Mix on Nitrous Oxide Emissions: An Environmental Kuznets Curve approach for APEC countries

There is a limited number of studies on the estimation of Environmental Kuznets Curve (EKC) hypothesis for Nitrous Oxide (N2O) emissions, though it is one of the most harmful greenhouse gases (GHGs) present in ambient atmosphere. In the wake of industrialization, it is necessary to understand the impact of energy consumption pattern on N2O emissions and revise the energy policies accordingly. In this study, we have analyzed the impact of renewable and fossil fuel energy consumptions on N2O emissions for APEC countries over the period of 1990-2015, and the analysis has been carried out following the EKC hypothesis framework. The results obtained from the study indicate the efficacy of the renewable energy solutions in having positive impact on environmental quality by helping to reduce the level of N2O emissions. The policy implications derived the results are designed keeping the objectives of Sustainable Development Goals (SDGs) in mind, so that the energy policies can bring forth sustainability in the economic systems in these nations

Governance Quality and Tourism: Moderation of Social Determinants of Crime

Researchers have identified the impact of crime rates on tourism development, and in this study, we intend to look into the possible social causes behind those impacts. In this pursuit, we analyse the moderating role of social determinants of crime in shaping the association between tourism development and governance for 30 Asia-pacific countries over 1990-2017. In methodological terms, we have employed principal component analysis (PCA) for index building and generalized method of moments (GMM) for the estimation of long run elasticities. Using PCA, we have built separate indices for tourism development and social indicators. Results of GMM indicate that incidents of unemployment and increase in refugee population can diminish the positive impact of education on the association between tourism development and governance. The policymakers need to focus more on capacity building and job creation for internalizing the social imbalances, which might hamper the governance quality for fostering the development of tourism sector

Beyond Cut-Set Bounds -The Approximate Capacity of D2D Networks

Abstract-Device-to-Device (D2D) communication is emerging as a viable solution for alleviating the severe capacity crunch in content-centric wireless networks. D2D encourages backhaulfree communication directly between devices with similar content requirements grouped into clusters. In this work, a self-sustaining D2D network is considered, where a set of commonly requested files are completely stored within the collective devices memories in a cluster and file requests from devices are serviced by local inter-device multicast transmissions. For such a network, new information theoretic converse results are developed, in the form of a lower bound on the minimum D2D multicast rate as a function of the storage per device. The proposed converse is then used to characterize the approximate tradeoff between the device storage and D2D multicast rate to within a constant multiplicative gap of 8

Analyzing Technology-Emissions Association in Top-10 Polluted MENA Countries: How to Ascertain Sustainable Development by Quantile Modeling Approach

This study investigates the relationship between technological progression and ambient air pollution in top-10 polluted Middle East and North African (MENA) countries by using monthly data for the period of 1990-2017. The Quantile cointegration proposed by Xiao (2009), Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015), and Quantile Autoregressive Granger causality developed by Troster (2018) are applied. In particular, we examine to which extent, quantiles of technological progression affect the quantiles of ambient air pollution, by developing separate indicators for both the mentioned aspects using Principal Component Analysis (PCA). Our empirical findings unfold mutual dependence between technological progression and ambient air pollution. Furthermore, the results of Quantile Autoregressive Granger causality test conclude a bidirectional causal relationship between technological progression and ambient air pollution

Interplay between Technological Innovation and Environmental Quality: Formulating the SDG Policies for Next 11 Economies

Since the inception of Sustainable Development Goals (SDGs), the Next 11 (N11) countries are facing difficulties in attaining the SDG objectives, as maintaining the environmental quality has been a challenge for them. In this study, we have revisited the technology policies of these countries, and in doing so, we have tried to address the problem of environmental degradation, while addressing the issues of sustained economic growth, clean and affordable energy, and quality education. In this pursuit, we have designed two indices for environmental degradation and technological advancement, and then analyzed the association between them following the Environmental Kuznets Curve (EKC) hypothesis. The empirical analysis has been done by IPAT framework, and by using bootstrapped quantile regression and rolling window heterogeneous panel casualty tests, over a period of 1990-2017. Following the results obtained from the analysis, we have tried to address the objectives of SDG 13, SDG 4, SDG 8, SDG 9, SDG 7, and SDG 10