Continuous-time sigma-delta modulator can be applied to wireless communications, photography and MP3 player. Portable electronics products became mainstream the design of a low power consumption analog circuit become important. Therefore, this paper presents a low power consumption continuous-time sigma-delta modulator. The low-power continuous-time sigma-delta modulator includes one-bit quantizer and a third-order loop filter consisting of resistor-capacitor integrators. Through the modified Z-transform, the discrete time loop filter design is transformed to the continuous time loop filter design. The proposed sigma-delta modulator used TSMC 0.18£gm CMOS 1P6M standard process, and its supply voltage is 1V, oversampling ratio is 32, bandwidth is 200 KHz, effective number is 13bit, power consumption is 1.5mW. Keywords: GSM, low power consumption, low power supply, continuous-time, sigma-delta modulator.

In wireless communication system, convolution code has been one of the most popular error-correcting code. To prevent from the interference of noise during transmission, the transmitter usually applies convolution encode to code the processed information, and the receiver will use Viterbi decoder to decode and correct the error bit to decrease the bit error rate. In 3G mobile communication, such decoder is often applied between the base station and the communication device as a decoding mechanism. Since traditional decoders of communication devices consume more than one third power of the whole receiver, the present study focuses on the way effectively reducing the power consumption of Viterbi decoder. Traditional convolution coders use zero-tail, which make decoder be able to resist the interference of noise; however, this method would increase extra tail bits, which would decrease the code rate and affect the efficiency of transmission, especially for those information with short length, such as the header of packet. Tail-biting convolution code is another error-correcting code, which maintains the code rate, and it has been used in the control channel of LTE. Tail-biting convolution code is more complex than traditional decoder. Therefore, this thesis modifies the Wrap-Around Viterbi Algorithm (WAVA) to enormously decrease the power consuming while maintaining the bit error rate and the correctness of decoding. The aim of the present study is achieved by decreasing iteration number of WAVA algorithm to reduce one fourth of the whole power consumption. On the other hand, if the received information is not interfered by noise, it¡¦s unnecessary to turn on Tail-biting Convolution Decoder. As a result, the present study introduces the error detection circuit so that the received information can be simply decode and detected with the error detection circuit. If there is no noise interference, it can directly be outputted; if there is noise interference, however, it should be decoded by Tail-biting Convolution Decoder. The experimental results show that the survivor memory unit saves more than 60% power than traditional decoders, moreover, it will save 55%~88% power consumption when it goes with the error detection circuit. Consequently, the proposed method is indeed able to reduce the power consumption of Tail-biting Convolution Decoder. Keyword¡Gwireless communication, tail-biting convolution code, code rate, Viterbi decoder, power consumption

The standard IEEE 802.11 MAC protocol assumes that each mobile host uses maximum transmission power for the transmission of each packet. However, energy is very valuable resources for mobile host in ad hoc wireless network. In the past, several researches about power control were proposed. These power control schemes use different power levels and one more separate power control channel in order to save energy, avoid occurrence of collision, and increase network channel utilization. But various power levels lead to each mobile host having different transmission power ranges, and cause the additional hidden terminal problem, namely heterogeneous power terminal problem. Therefore, in this paper, we propose a simple and efficient power control protocol that used dynamic adjustment transmission power ranges to reduce power consumption, avoid collision, increase the network channel utilization, and ease heterogeneous power terminal problem as well.

Emerging trends toward cloud computing and virtualization have been opening new avenues to meet enormous demands of space, resource utilization, and energy efficiency in modern data centers. By being allowed to host many multi-tier applications in consolidated environments, cloud infrastructure providers enable resources to be shared among these applications at a very fine granularity. Meanwhile, resource virtualization has recently gained considerable attention in the design of computer systems and become a key ingredient for cloud computing. It provides significant improvement of aggregated power efficiency and high resource utilization by enabling resource consolidation. It also allows infrastructure providers to manage their resources in an agile way under highly dynamic conditions. However, these trends also raise significant challenges to researchers and practitioners to successfully achieve agile resource management in consolidated environments. First, they must deal with very different responsiveness of different applications, while handling dynamic changes in resource demands as applications' workloads change over time. Second, when provisioning resources, they must consider management costs such as power consumption and adaptation overheads (i.e., overheads incurred by dynamically reconfiguring resources). Dynamic provisioning of virtual resources entails the inherent performance-power tradeoff. Moreover, indiscriminate adaptations can result in significant overheads on power consumption and end-to-end performance. Hence, to achieve agile resource management, it is important to thoroughly investigate various performance characteristics of deployed applications, precisely integrate costs caused by adaptations, and then balance benefits and costs. Fundamentally, the research question is how to dynamically provision available resources for all deployed applications to maximize overall utility under time-varying workloads, while considering such management costs. Given the scope of the problem space, this dissertation aims to develop an optimization system that not only meets performance requirements of deployed applications, but also addresses tradeoffs between performance, power consumption, and adaptation overheads. To this end, this dissertation makes two distinct contributions. First, I show that adaptations applied to cloud infrastructures can cause significant overheads on not only end-to-end response time, but also server power consumption. Moreover, I show that such costs can vary in intensity and time scale against workload, adaptation types, and performance characteristics of hosted applications. Second, I address multi-dimensional optimization between server power consumption, performance benefit, and transient costs incurred by various adaptations. Additionally, I incorporate the overhead of the optimization procedure itself into the problem formulation. Typically, system optimization approaches entail intensive computations and potentially have a long delay to deal with a huge search space in cloud computing infrastructures. Therefore, this type of cost cannot be ignored when adaptation plans are designed. In this multi-dimensional optimization work, scalable optimization algorithm and hierarchical adaptation architecture are developed to handle many applications, hosting servers, and various adaptations to support various time-scale adaptation decisions.

Electricity generation is the major emission source of air pollutants in the highly industrialized Pearl River Delta Region. In a compact region like the Pearl River Delta, pollutants can easily transfer from one city to another. The research question of this study is to construct an optimal and mutual agreeable scheme to reduce electricity consumption in the Pearl River Delta Region, which involves the collaboration of all cities in the Region. The main objective of the study is to conduct a cooperative scheme that internalizes the external social cost of electricity consumption through optimal electricity consumption reduction. This research first surveys papers on urban environmental problems, especially environmental problems caused in Pearl River Delta Region. Literature review indicates that public electricity generation is the major emission source of air pollutants in this region. Secondly, this research reviews literatures on the social costs of electricity consumption. Reviews show that external costs of electricity consumption in different countries differ widely, ranging from 13% to 700% of electricity price. This study adopts the lower quartile of this range, which is 13% of electricity price. Thirdly, urban operations research is reviewed, and a major policy instrument for environmental improvement, environmental tax, is investigated. This study develops a hierarchical structure of urban operations research to study the collaborative management of electricity consumption reduction in the Pearl River Delta Region. This urban operations research model includes seven essential steps: problem definition; objectives identification; performance measures; data analysis; analytical framework construction; model solution and courses of actions; and policy implementation. Moreover, this novel urban operations research model is applied in collaborative management of electricity consumption reduction in the Pearl River Delta. This research uses statistical and mathematical methods to estimate the parameters relevant to GDP, electricity consumption, external costs of electricity consumption, and environmental tax, and then formulates the operational model. Then, this model is employed to evaluate non-cooperative equilibrium condition among the eleven Pearl River Delta cities under a non-cooperative market outcome; to derive individual city’s external cost of electricity; to derive environmental levy and optimal electricity consumption reduction; and to design a compensation plan. In the compensation plan, under cooperation, in both 2013 and 2014, four cities (Guangzhou, Shenzhen, Foshan, and Dongguan) have to pay for their net spillover external cost of electricity consumption. The other seven cities (Zhuhai, Jiangmen, Huizhou, Zhaoqing, Hong Kong, Macao, and Zhongshan) would receive compensation. The urban operations research model for regional cooperation in electricity consumption reduction developed in this study provides an instrument to deal with the pollution problem in the Pearl River Delta Region. It facilitates the exploration of hitherto intractable problems in regional environmental cooperation and established solution plans. The urban operations model is expected to provide practical policy choices for a Pearl River Delta environmental collaboration scheme. This research represents the first attempt on an application of urban operations research model of collaborative management scheme of electricity consumption reduction in Pearl River Delta Region. / published_or_final_version / Urban Planning and Design / Doctoral / Doctor of Philosophy

This dissertation presents a new systematic approach to flip-flop design using Internal Clock Gating, (ICG), and Adaptive Body-Bias, (ABB), in order to reduce power consumption. The process requires careful transistor resizing in order to maintain signal integrity and the functionality of the flip-flop at the target frequency.A novel flip-flop architecture, based on the Transmission Gate Flip-Flop, (TGFF), which incorporated ICG and ABB techniques, was designed. This architecture was simulated intensively in order to determine under what conditions its use is appropriate. In addition, it was necessary to establish a methodology for creating a standard testbench and environment setup for the required Hspice simulations. Software tools were written in C++ and Perl in order to facilitate the interface between Cadence Design Tools and Hspice.The new flip-flop, which was named the Low-Power Flip-Flop, (LPFF), was compared to the Transmission-Gate Flip-Flop, (TGFF), and to the Transmission-Gate with Clock-Gating Flip-Flop, (TGCGFF). Comprehensive Hspice simulations of the three flip-flop designs, implemented with Bsim3v3 transistor models for TSMC 180 nm technology, were used as the means of comparison.Simulations demonstrated that the new flip-flop is appropriate for applications that require low switching activity. In such a situation the LPFF consumes 7.8% to 95.7% less power than the TGFF and 0.8% to 23.7% less power than the TGCGFF. Power savings obtained by the LPFF increase as the length of the period with no switching activity increases, especially when the input data is all zeros. The trade-off is an increase in the D-to-Q delays and in the flip-flop area. The LPFF presented D-to-Q delays of 60% to 69% longer than the delays of the TGFF and 9% to 11% longer than the delays of the TGCGFF. The LPFF cells require an area that is 15% to 34% larger than the TGFF cells and 6% to 17% larger than the TGCGFF cells.

The amount of electricity consumed by devices connected to the Internet in the U.S. has rapidly increased and now amounts to over 2% of total electricity used, which is about 74 TWh/yr costing over $6 billion annually. This energy use can be categorized as direct and induced. Much of this energy powers idle links, switches, and network-connected hosts and is thus wasted.This dissertation contains the first-ever investigation into the energy efficiency of Ethernet networks. A method for matching Ethernet link data rate with link utilization, called Adaptive Link Rate (ALR), is designed and evaluated. ALR consists of a mechanism to change the link data rate and a policy to determine when to change the data rate. The focus of this dissertation is on the analysis and simulation evaluation of two ALR policies. The simplest ALR policy uses output buffer thresholds to determine when to change data rate. This policy is modeled using a Markov chain. A specific challenge was modeling a state-dependent service rate queue with rate transition only at service completion. This policy was shown to be unstable in some cases, and an improved policy based on explicit utilization measurement was investigated. This more complex policy was evaluated using simulation. A synthetic traffic generator was developed to create realistic synthetic network traffic traces for the simulation evaluation. Finally, an improved method for detecting long idle periods using quantile estimation was investigated.Characterization of network traffic showed that proxying by a low power device for a high power device is feasible. A prototype proxy for a Web server was developed and studied. To maintain TCP connections during sleep time periods of a host, a new split TCP connection method was designed. The split connection method was prototyped and shown to be invisible to a telnet session.This research has contributed to the formation of an IEEE 802.3 Energy Efficient Ethernet study group. It is thus very likely that ALR will become a standard and will achieve industry implementation and widespread deployment. This will result in energy savings of hundreds of millions of dollars per year in the U.S. alone.

With the advancement of display technology, consumers expect high quality display of image and video data. Many viewers are used to watching video content on high definition television and large screens. However, certain display technologies, such as several of those used in portable electronic books, are limited on resources such as the availability of number of bits per pixel (i.e. the bit-depth). Display of good or even acceptable perceptual quality video on these devices is a hard technical problem that a display designer must solve. Video halftoning reduces the number of represented colors or gray levels for display on devices that are unable to render the video at full bit-depth. Bit-depth reduction results in visible spatial and temporal artifacts. The designer would want to choose the halftoning algorithm that reduces these artifacts while meeting the target platform constraints. These constraints include available bit-depth, spatial resolution, computational power, and desired frame rate. Perceptual quality assessment techniques are useful in comparing different video halftoning algorithms that satisfy the constraints. This dissertation develops a framework for the evaluation of two key temporal artifacts, flicker and dirty-window-effect, in medium frame rate binary video halftones generated from grayscale continuous-tone videos. The possible causes underlying these temporal artifacts are discussed. The framework is based on perceptual criteria and incorporates properties of the human visual system. The framework allows for independent assessment of each of the temporal artifacts. This dissertation presents design of algorithms that generate medium frame rate binary halftone videos. The design of the presented video halftone generation algorithms benefits from the proposed temporal artifact evaluation framework and is geared towards reducing the visibility of temporal artifacts in the generated medium frame rate binary halftone videos. This dissertation compares the relative power consumption associated with several medium frame rate binary halftone videos generated using different video halftone generation algorithms. The presented power performance analysis is generally applicable to bistable display devices. This dissertation develops algorithms to enhance medium frame rate binary halftone videos by reducing flicker. The designed enhancement algorithms reduce flicker while attempting to constrain any resulting increase in perceptual degradation of the spatial quality of the halftone frames. This dissertation develops algorithms to enhance medium frame rate binary halftone videos by reducing dirty-window-effect. The enhancement algorithms reduce dirty-window-effect while attempting to constrain any resulting increase in perceptual degradation of the spatial quality of the halftone frames. Finally, this dissertation proposes design of medium frame rate binary halftone video enhancement algorithms that attempt to reduce a temporal artifact, flicker or dirty-window-effect, under both spatial and temporal quality constraints. Temporal quality control is incorporated by using the temporal artifact assessment framework developed in this dissertation. The incorporation of temporal quality control, in the process of reducing flicker or dirty-window-effect, helps establish a balance between the two temporal artifacts in the enhanced video. At the same time, the spatial quality control attempts to constrain any increase in perceptual degradation of the spatial quality of the enhanced halftone frames. / text

Cell Broadcast (CB) is a possible technical realisation of a global emergency alert system. It is a technique used for sending short text messages to all mobile stations (MSs) in a defined geographical area. An potential effect of using CB is the increase in battery consumption of the MS due to the fact that an extra channel has to be used to make the service available even when the network is otherwise congested. Another part of the service which leads to a potential problem is making CB messages available in different languages. Investigating these problems is the objective of this thesis and the studies it includes. During the first part of the thesis, we measured the battery consumption of MSs in different modes of operation in order to analyse how CB affects the amount of current drained. The tests showed that battery consumption increased only slightly when CB messages were being received at the MS. Although some of the results can be, and are, discussed, we believe that CB would have a small effect on the power consumption of an MS, particularly in a context where it would be used for emergency warning messages only. This mentioned, it would however be wishful to confirm the conclusions further through the realisation of long-term testing. The second part of the thesis deals with the investigation of the MSs’ support for CB messages with different coding schemes. Based on the investigation’s result, we have come to the conclusion that in the long term the usage of different coding schemes on the same channel is preferred. However, the usage of one, global, emergency channel is hard to realise since that requires a standardisation between all countries. In our opinion this may be achieved first in the long run and until then, the usage of separate channels seems to be necessary.

Didelis energijos suvartojimas yra labai svarbi detalė sistemoms, naudojančioms baterijas: nešiojami kompiuteriai, delninukai, mobilieji telefonai ir t.t. Pradėjus naudoti objektiškai orientuotas sistemas, buvo susirūpinta energijos taupymu. Todėl išsiaiškinus, kokią įtaką daro objektiškai orientuotos sistemos baterijos gyvavimo ciklui, galima būtų padėti programuotojams kurti tokias programas, kurios vartoja mažiau energijos. Darbe sukuriau programą, kuri sodina bateriją. Programoje naudojamos išretintos matricos. Pasinaudojus išretintų matricų saugojimo pagal eilutes metodu, kuris leidžia sumažinti matricos formatą, išmetant nulinius elementus, galime stebėti, kaip keičiasi sistemos resursų sunaudojimas, keičiant pradinėje matricoje nulinių elementų skaičių. Atlikę daugybą, galime įvertitni, kiek energijos suvartojo optimizuotas programos kodas ir neoptimizuotas. Atlikus eksperimentą, rezultatai parodė, jog optimizuotas kodas žymiai mažiau nusodina bateriją nei neoptimizuotas. To pasekoje galime daryti išvada, kad sistemos, kuriose yra optimizuotos programos, veiks ilgiau nei sistemos su neoptimizuotu kodu. / Low power consumption is a major constraint for battery-powered system like computer notebook or pocket PC, mobile phone. In the past, specialists usually designed both specific optimized equipments and codes to relief this concern. Doing like this could work for quite a long time, however, in this era, there is another significant restraint, the time to market. To be able to serve along the power constraint while can launch products in shorter production period, objectoriented programming (OOP) has stepped in to this field. In work we create program, whose multiply sparse matrix. Multiplication are two types: one we use standart matrix multiplication, other use compresed matrix storage by rows multiplication. When execute program, we can track, how battery power are consumpt. When we use compresed matrix storage by rows multiplication, we eliminate zero elements and multiplication execute faster, then standart matrix multiplication. So baterry power comsumption are lower. If your system are very important battery life time, then you must use optimized programm code. Optimized programm code use less battery power, then not optimized. Then your system can work much longer.