Performance of Game Theoretic Power Control Algorithms for Wireless Data in Fading Channels

An efficient use of the radio resources in wireless communications presents a fundamental challenge. While power is one of the most important radio resources, and its control has been studied extensively for voice communications, the increase demand of wireless data service makes it very important to establish power control algorithms for such service. In Code Division Multiple Access (CDMA) cellular systems we have a number of users who are simultaneously sharing the air interface. Each user wants to achieve a high Signal-to-Interference ratio (SIR) at the Base-Station (BS) with the lowest possible transmitted power level. These conflicting objectives of the users make the framework of game theory suitable to establish power control algorithms. In [1] a non-cooperative power control game (NPG) was proposed where each user unilaterally maximizes his quality of service (QoS), referred to as a ”utility”. The result of such NPG however, is a Nash equilibrium which is not efficient. To obtain a Pareto improvement, [1] introduced a pricing of the transmit power in which each user’s goal is to maximize a difference between the utility function of NPG and a linear pricing function with respect to the transmit power. However, in [1] the channel model is not realistic, as they only considered deterministic channel path gains from the BS to the user. Signals in a wireless communications experience different types of fading. In this paper we consider the problem studied in [1] with three cases of fading: Rayleigh flat fading, Rician flat fading and Nakagami flat fading. In all cases, the channel is assumed to be quasi static, i.e, the fading coefficient is constant during each packet’s duration

Distributed joint rate and power control game-theoretic algorithms for wireless data

In this letter, we consider two distributed game theoretic algorithms to jointly solve the problem of optimizing the transmission rates and transmit powers for future wireless data communication systems. We then establish the existence, uniqueness and Pareto optimality of Nash equilibria of both games

Least squares support vector machines for DOA estimation with classification error control

We consider a game-theoretic power control algorithm in interference limited fading channels, where we propose a distributed (non-cooperative) algorithm to optimize the induced fading outage probability by maximizing the certainty equivalent margin (CEM). We prove that the problem of maximizing CEM is the same (up to an upper bound) as minimizing the induced outage fading probability, and provide a distributed game theoretic power control algorithm

Performance of Game Theoretic Power Control Algorithms forWireless Data in Fast Flat Fading Channels

We consider a game-theoretic power control algorithm for wireless data realistic channels. We study the performance of the algorithm for wireless data in the fast, flat-fading channel mobile users encounter in accessing the cellular system. The game-theoretic power control algorithm depends on an average utility function that assigns a numerical value to the quality of service (QoS) of users. The fading coefficients under this channel model are studied for two appropriate channel models that are used in CDMA cellular systems: Rayleigh fast flat fading channel and Rician fast flat fading channel

Capital Structure and Corporate Performance: Empirical Study on the Public Jordanian Shareholdings Firms Listed in Amman Stock Market

The study investigates the effect of capital structure on the performance of the public Jordanian firms listed in Amman stock market. The study used  multiple regression  model represented by ordinary least squares (OLS) as a technique to examine what is the effect of capital structure on the performance  by applying on 76 firms(53 industrial firms  and 23 service corporation) for the period(2001-2006).The results of the study concluded that capital structure associated negatively and statistically with firm performance on the study sample generally. In addition, the study found out that there is no differences for the impact of the financial leverage between high financial leverage firms and low financial leverage firms on their performance. Finally , the study also showed that the effect of financial leverage on the basis  of the growth that there is no difference between the financial leverage of high growth firms and low growth firms on the performance, which it was negatively and statistically. Key words: capital structure , performance ,profitability ,debt, financial leverage, firm and Jorda

Exploiting Multiuser Diversity in Scheduling MIMO Cellular Systems

In this paper we consider a scheme of packet scheduling for the forward link of a MIMO cellular system, to increase system capacity by exploiting multiuser diversity based on spatial multiplexing (SM). The proposed scheme exhibits considerable increases in system capacity compared to commonly used schemes, while, at the same time, giving a fair chance of channel access to all users regardless of their channel fading status

Drone Empowered Small Cellular Disaster Recovery Networks for Resilient Smart Cities

Resilient communication networks, which can continue operations even after a calamity, will be a central feature of future smart cities. Recent proliferation of drones propelled by the availability of cheap commodity hardware presents a new avenue for provisioning such networks. In particular, with the advent of Google’s Sky Bender and Facebook’s internet drone, drone empowered small cellular networks (DSCNs) are no longer fantasy. DSCNs are attractive solution for public safety networks because of swift deployment capability and intrinsic network reconfigurability. While DSCNs have received some attention in the recent past, the design space of such networks has not been extensively traversed. In particular, co-existence of such networks with an operational ground cellular network in a post-disaster situation has not been investigated. Moreover, design parameters such as optimal altitude and number of drone base stations, etc., as a function of destroyed base stations, propagation conditions, etc., have not been explored. In order to address these design issues, we present a comprehensive statistical framework which is developed from stochastic geometric perspective. We then employ the developed framework to investigate the impact of several parametric variations on the performance of the DSCNs. Without loss of any generality, in this article, the performance metric employed is coverage probability of a down-link mobile user. It is demonstrated that by intelligently selecting the number of drones and their corresponding altitudes, ground users coverage can be significantly enhanced. This is attained without incurring significant performance penalty to the mobile users which continue to be served from operating ground infrastructure

Performance Analysis of UAV Enabled Disaster Recovery Network: A Stochastic Geometric Framework based on Matern Cluster Processes

Drones will be employed by Facebook and Google for capacity off-loading in front/back hauling scenarios utilizing drone-empowered autonomous heterogeneous networks. But in another application, drone-based, post-disaster recovery of communication networks will also be of crucial importance in the design of future smart cities. So, in order to address the design issues of these latter networks, we present (from a stochastic geometric perspective) a comprehensive statistical framework for the spatial distribution of these hybrid user-centric drone/micro cellular networks. We introduce the novel idea of using a Stenien’s cell (with variable radius) to model the region over which the drones will be distributed and the drones will effectively form a Matern cluster process (MCP) across the original network space. We then employ this newly developed framework to investigate the impact of changing several parameters on the performance of the new drone small-cell clustered networks (DSCCNs) and we develop appropriate closed-form expressions that model the performance (later validated via Monte Carlo simulations)

Secure Authentication for Remote Patient Monitoring with Wireless Medical Sensor Networks.

There is broad consensus that remote health monitoring will benefit all stakeholders in the healthcare system and that it has the potential to save billions of dollars. Among the major concerns that are preventing the patients from widely adopting this technology are data privacy and security. Wireless Medical Sensor Networks (MSNs) are the building blocks for remote health monitoring systems. This paper helps to identify the most challenging security issues in the existing authentication protocols for remote patient monitoring and presents a lightweight public-key-based authentication protocol for MSNs. In MSNs, the nodes are classified into sensors that report measurements about the human body and actuators that receive commands from the medical staff and perform actions. Authenticating these commands is a critical security issue, as any alteration may lead to serious consequences. The proposed protocol is based on the Rabin authentication algorithm, which is modified in this paper to improve its signature signing process, making it suitable for delay-sensitive MSN applications. To prove the efficiency of the Rabin algorithm, we implemented the algorithm with different hardware settings using Tmote Sky motes and also programmed the algorithm on an FPGA to evaluate its design and performance. Furthermore, the proposed protocol is implemented and tested using the MIRACL (Multiprecision Integer and Rational Arithmetic C/C++) library. The results show that secure, direct, instant and authenticated commands can be delivered from the medical staff to the MSN nodes

Leadership Styles among the Administrative Heads of Departments at Irbid University College and its Relationship with Employees' Motivation Toward Work

The present study aimed to detect the type of leadership for heads of departments administrators in Irbid University College and its relationship with employees' motivation toward work, and to achieve these objectives administrated  leadership style scale, and motivation towards work scale on a sample of 123 workers in Irbid University College for the academic year 2015 / 2016, after its achieved validity and reliability, the results showed that (Democratic) style from the standpoint of workers in Irbid university College and the workers have high level of motivation towards work, and there is statistically significant negative relationship at the level of statistical (α = 0.05) between the leadership style (dictatorship) and motivation of workers in Irbid university College towards the work, and there is statistically significant positive relationship at the level of statistical (α = 0.05) between the leadership style (Democratic) and motivation of workers in Irbid university College towards the work. Keywords: leadership style, department heads, Irbid University College, motivation towards wor