Resource Allocation for Energy-Efficient Device-to-Device Communication in 4G Networks

Device-to-device (D2D) communications as an underlay of a LTE-A (4G) network can reduce the traffic load as well as power consumption in cellular networks by way of utilizing peer-to-peer links for users in proximity of each other. This would enable other cellular users to increment their traffic, and the aggregate traffic for all users can be significantly increased without requiring additional spectrum. However, D2D communications may increase interference to cellular users (CUs) and force CUs to increase their transmit power levels in order to maintain their required quality-of-service (QoS). This paper proposes an energy-efficient resource allocation scheme for D2D communications as an underlay of a fully loaded LTE-A (4G) cellular network. Simulations show that the proposed scheme allocates cellular uplink resources (transmit power and channel) to D2D pairs while maintaining the required QoS for D2D and cellular users and minimizing the total uplink transmit power for all users.Comment: 2014 7th International Symposium on Telecommunications (IST'2014

Worst-Case Robust Distributed Power Allocation in Shared Unlicensed Spectrum

This paper considers non-cooperative and fully-distributed power-allocation for selfish transmitter-receiver pairs in shared unlicensed spectrum when normalized-interference to each receiver is uncertain. We model each uncertain parameter by the sum of its nominal (estimated) value and a bounded additive error in a convex set, and show that the allocated power always converges to its equilibrium, called robust Nash equilibrium (RNE). In the case of a bounded and symmetric uncertainty region, we show that the power allocation problem for each user is simplified, and can be solved in a distributed manner. We derive the conditions for RNE's uniqueness and for convergence of the distributed algorithm; and show that the total throughput (social utility) is less than that at NE when RNE is unique. We also show that for multiple RNEs, the social utility may be higher at a RNE as compared to that at the corresponding NE, and demonstrate that this is caused by users' orthogonal utilization of bandwidth at RNE. Simulations confirm our analysis

Robust Spectrum Sharing via Worst Case Approach

This paper considers non-cooperative and fully-distributed power-allocation for secondary-users (SUs) in spectrum-sharing environments when normalized-interference to each secondary-user is uncertain. We model each uncertain parameter by the sum of its nominal (estimated) value and a bounded additive error in a convex set, and show that the allocated power always converges to its equilibrium, called robust Nash equilibrium (RNE). In the case of a bounded and symmetric uncertainty set, we show that the power allocation problem for each SU is simplified, and can be solved in a distributed manner. We derive the conditions for RNE's uniqueness and for convergence of the distributed algorithm; and show that the total throughput (social utility) is less than that at NE when RNE is unique. We also show that for multiple RNEs, the the social utility may be higher at a RNE as compared to that at the corresponding NE, and demonstrate that this is caused by SUs' orthogonal utilization of bandwidth for increasing the social utility. Simulations confirm our analysis

FPGA-based Image Analysis System for Cotton Classing

The design and implementation of an FPGA (field-programmable gate array) based image analysis system was undertaken to replace an older system whose components have become obsolete. Video from an analog camera is digitized by a video decoder. The data from the video decoder is stored in memory and then processed using an FPGA. The results are then transmitted over a universal serial bus (USB) to a host personal computer for additional processing. The system also controls the timing of a flash to correctly capture the images; it measures color and reflectance and is used to classify the quality of raw cotton by determining the concentration of impurities (e.g. leaves or trash). The original system is first described and the need for upgrading presented. The goals of the new system are then specified and its implementation presented along with the design space tradeoffs that were considered. Finally, the results obtained from using the new system are presented to demonstrate its effectiveness

Deposit guarantee in Islamic jurisprudence and Jordanian civil law

This study was summarized in explaining the cases in which the deposit is guaranteed, such as its consumption, failure to maintain it, or depositing it with others, or mixing it, and other such cases. The study showed the opinion of the civil law in these cases, and the extent of its compatibility with jurisprudence or its disagreement with it. The study concluded that deposits were included in the previous cases and in others mentioned in the research. Keywords: Guarantee, Deposit, Amortizatio

The Effect of Lechery on Alms (Zakat) in Islamic Jurisprudence "A Comparative Study"

The study aimed to clarify the legal ruling on the effect of lechery in some of the rulings of alms (zakat), such as paying it to the lechery, an infidel or a Muslim, whether it was in the name of poverty, the wayfarer or the debtor. The study also touched on spending it to the lechery imam and the ruling on the sinner taking over the work of collecting and distributing zakat. The study concluded that it is permissible to pay it to the lechery poor and to the imams as well, but the wayfarer and the debtor do not pay them zakat if it is in a state of lechery because this is a subsidy for them. Keywords: Lechery, Alms (Zakat), Islamic Jurisprudence

Does Electricity Consumption affect Economic Growth in Bangladesh?

This research attempts to uncover the relationship between electricity consumption and economic growth in Bangladesh adopting co-integration and causality analysis using time series data spanning from 1972 to 2011. It takes under consideration the variables Gross Domestic Product (GDP), Electricity Consumption (EC) and Carbon dioxide emission (CO2) to fulfill the research objective. Adopting Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) tests of unit root, it is observed that the first differences of all the three variables are stationary which indicates that the variables are co-integrated of order 1. The trace test and maximum Eigen value of Johansen co-integration test confirm that all the variables are co-integrated with one co-integrating vector. Besides, using Impulse Response Functions (IFRs) of Vector Auto-regression (VAR), the possible forecasting for the relationship of the variables has been performed. The empirical result based on Granger F-test reveals existence of unidirectional causality running from Electricity Consumption (EC) to Gross Domestic Product (GDP), Electricity Consumption (EC) to Carbon dioxide emission (CO2) and Gross Domestic Product (GDP) to Carbon dioxide emission (CO2) without having any reverse causation. Thus, it implies that Electricity Consumption (EC) affects both Gross Domestic Product (GDP) and Carbon dioxide emission (CO2) and Gross Domestic Product (GDP) drives only Carbon dioxide emission (CO2) in short run without feedback in the long run