Uplink Scheduling in CDMA Packet-Data Systems

Uplink scheduling in wireless systems is gaining importance due to arising uplink intensive data services (ftp, image uploads etc.), which could be hampered by the currently in-built asymmetry in favor of the downlink. In this work, we propose and study algorithms for efficient uplink packet-data scheduling in a CDMA cell. The algorithms attempt to maximize system throughput under transmit power limitations on the mobiles assuming instantaneous knowledge of user queues and channels. However no channel statistics or traffic characterization is necessary. Apart from increasing throughput, the algorithms also improve fairness of service among users, hence reducing chances of buffer overflows for poorly located users. The major observation arising from our analysis is that it is advantageous on the uplink to schedule “strong” users one-at-a-time, and “weak” users in larger groups. This contrasts with the downlink where one-at-a-time transmission for all users has shown to be the preferred mode in much previous work. Based on the optimal schedules, we propose less complex and more practical approximate methods, both of which offer significant performance improvement compared to one-at-a-time transmission, and the widely acclaimed Proportional Fair (PF) algorithm, in simulations. When queue content cannot be fed back, we propose a simple modification of PF, Uplink PF (UPF), that offers similar improvement. Hereafter, we refer to users with low recieved power at the base even when transmitting at peak transmit power as “weak” users, and the strongly recieved users at the base as “strong” users. Krishnan Kumaran is currently a member of the Complex Systems Modeling section in the Corporate Strategic Research of ExxonMobil Corp., Clinton, NJ. Formerly, he was a Member of Technical Staff in the Mathematics of Networks and Systems Research Department at Bell Labs in Murray Hill, NJ, where his research interests were in modeling, analysis and simulation of design, resource management and scheduling issues in telecommunication networks. Lijun Qian is an assistant professor in the Department of Electrical Engineering at Prairie View A&M University. He received his B.S. from Tsinghua University in Beijing, M.S. from Technion-Israel Institute of Technology, and Ph.D. from WINLAB, Rutgers University, all in electrical engineering. Before joining PVAMU, he was a researcher at Networks and Systems Research Department of Bell Labs in Murray Hill, NJ. His major research interests are in wireless communications and networking technologies, especially in radio resource management, protocol design, TCP/RLP optimization and MPLS traffic engineering.     

新形势下电气工程及其自动化专业人才培养模式与知识体系框架

在分析了当前高等教育培养基本模式的基础上，根据科学技术和社会经济发展的要求，提出了人才培养的模式和要求。特别针对电气工程及其自动化领域的发展趋势以及对人才的需求，提出了该专业人才的知识框架体系。     

影响地下室防水工程质量的因素及对策

分析了影响地下室防水工程质量的主要因素，并对其质量控制提出了几点建议，可供实际工程参考。     

光缆接续损耗的工程控制

本从影响光纤损耗的主要因素分析着手，提出了光缆接续损耗工程控制的简洁有效的方法。     

电磁发射兵器用电容器的选取

本文首先从理论上论述了膜电容器的储能密度与寿命之间的关系，对国际电容器制造水平和趋势进行了分析，提出采用干式金属化膜电容器作为储能元件。最后，根据电磁发射兵器整体寿命配合原则，提出高储能密度脉冲电容器的合理寿命指标。     

洪家渡水电站工程高边坡综述

乌江洪家渡水电站坝址河谷深切300余m,硬质岩与软质岩相间分布,岸坡地形陡峻,软弱夹层发育,卸荷、崩塌等物理地质作用强烈。根据坝址地质条件与电站枢纽布置,工程存在:隧洞群进水口同向高边坡整体稳定问题;坝肩开挖、隧洞进出口开挖、厂房开挖及料场开挖等高边坡稳定问题;泄洪冲刷及雾化区1号、2号塌滑体高边坡稳定问题;王家渡堆料场、瓦房寨砂石系统高边坡稳定问题。因此,工程高边坡稳定问题是本工程的主要工程问题之一,但通过参建各方共同努力,本工程高边坡处理都取得了圆满成功。     

Quality of Service in VoIP Communication

The focus of this paper lies in the practical aspects of voice over IP communication. VoIP configurations in the H.323 standard will be presented briefly. Following that, the fundamental protocol procedure of H.323 communication will be briefly explained. A further part of the paper will address the subject QoS (quality of service), and present the common measurement methods used in QoS. Results gained from experiments conducted in a VoIP environment will then follow. The investigations concentrate primarily on the load behavior of voice packets in relation to important parameters of this service. The results obtained are presented and evaluated in diagrams. The paper concludes with a summary.     

Requirements engineering in health care: the example of chemotherapy planning in paediatric oncology

Health care is characterized by highly complex processes of patient care that require unusual amount of communication between different health care professionals of different institutions. Sub-optimal processes can significantly impact on the patient’s health, increase the consumption of services and resources and in severe cases can lead to the patient death. For these reasons, requirements engineering for the development of information technology in health care is a complex process as well: without constant and rigorous evaluation, the impact of new systems on the quality of care is unknown and it is possible that badly designed systems significantly harm patients. To overcome these limitations, we present and discuss an approach to requirements engineering that we applied for the development of applications for chemotherapy planning in paediatric oncology. Chemotherapy planning in paediatric oncology is complex and time-consuming and errors must be avoided by all means. In the multi-hospital/multi-trial-centre environment of paediatric oncology, it is especially difficult and time-consuming to analyse requirements. Our approach combines a grounded theory approach with evolutionary prototyping based on the constant development and refinement of a generic domain model, in this case a domain model for chemotherapy planning in paediatric oncology. The prototypes were introduced in medical centres and final results show that the developed generic domain model is adequate.     

多臂井径成像测井技术

多臂井径成像测井技术同以往的40臂、X—Y井径等非成像工程测井相比具有较为明显的优势，不但可以做定量解释提供最大、最小、平均井径值，而且可以提供更为直观的18条或36务独立的测井曲线、磁井径，磁重量、井温、井壁立体图、井壁成像图、井壁截面图，为检测井下套管的完好性及修复提供了更为可靠直观的资料，满足了地质学家及时监测套管状况的要求，也为油井作业、大修提供全面、准确的套管全貌。文章介绍了18臂、36臂两种井径成像测井技术。并通过对测试资料实例的解释、分析、研究，总结了多臂井径成像测井技术的特点及应用效果。     

A stochastic model for localized disturbances and its applications

A stochastic model for local disturbances, particularly for a temporal harmonic with random modulations in amplitude and/or phase, is proposed in this paper. Results for the second moment responses of a linear single-degree-of-freedom system to this type of stochastic loading demonstrate a significant change in response characteristics due to a small uncertainty. A local phenomenon may last much longer and resonance may be smeared to a broad range. Integrated with wavelet transform, the proposed approach may be used to model a random process with non-stationary frequency content. Especially, it can be effectively used for Monte Carlo simulation to generate large size of samples that have similar characteristics in time and frequency domains as a pre-selected mother sample has. The technique has a great potential for the case where uncertainty study is warranted but the available samples are limited.