System-Level Power Optimization for Wireless Multimedia Communication: Power Aware Computing

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Existing knowledge of quality optimization is generally confined to studies of individual sources. In the s, a significant body of knowledge was created on radio resource management for cellular telephone communications. More recently, the research community has turned its attention to wireless data and video.

Each study focuses on one or two quality measures for one type of information: for example, power and distortion for video; power and throughput for data. This project takes a more comprehensive view by considering the collection of QoS measures to be a point in a multidimensional space. Given a system design and a set of operating conditions, the achievable points constitute a feasibility volume, with optimum points on the surface. Within this formulation, we study simultaneous transmission of data and video by analyzing projections of the volume onto various combinations of QoS dimensions including: video distortion; data throughput for each source; data utility for each source; total power dissipation signal processing power and transmission power in a terminal; number of simultaneous video transmissions at a base station; aggregate base station throughput; aggregate base station utility.

The emphasis is on power efficient communications and the results provide guidance on joint adaptation of the following properties of terminals that transmit signals to the same base station: transmission power and rate in data terminals and transmission power, compression, and channel coding in video terminals. Karri and D. Goodman, ed.. Lu, Y.

Total power optimization for wireless multimedia communication

Wang and E. Virgilio Rodriguez. Goodman, P. Orenstein, Z. Marantz, and V. Rodriguez, D. Goodman, and Y. Orenstein, D. Goodman, Z. Marantz, and D. Marantz, P. Because battery life is limited and battery weight is applications. In our architecture we apply several supplementary pattern of mobile computers. However, because they studied power reduction techniques on all levels of the system, including different platforms, their results are not always in line, and some- the operating system and applications.

The two main themes are times even conflicting. Stemm et al.

There are several ways to reduce increases dramatically. Laptops use several techniques to reduce energy consumption: e. A system wide approach is ture of a new generation of mobile hand-held computers. The beneficial because there are dependencies between subsystems, design challenges lie primarily in the creation of a single architec- e. Research Different architectures have been proposed to address multi- issues include: security, energy consumption and communication, media computing.

These approaches are based on high-perform- hybrid networks, data consistency, and environment awareness. These systems fail to exploit the opportunities for portable devices places severe restrictions on size and power energy reduction offered by multimedia. Systems like the InfoPad consumption.

Even though battery technology is improving [IO] and ParcTab [4] are designed to take advantage of high- continuously and processors and displays are rapidly improving speed wireless networking to reduce the amount of computation in terms of power consumption, battery life and battery weight required on the portable. These systems are a kind of portable are issues that will have a marked influence on how hand-held terminal and take advantage of the processing power of remote computers can be used. These devices often require real-time compute servers.

This approach simplifies the design and reduces processing capabilities, and thus demand high throughput. The power consumption for the processing components, but signifi- increasing levels of performance and integration that is required cantly increases the network usage and thus also increases energy will be accompanied by increasing levels of energy consumption. Without a significant energy reduction techniques and energy consumption.

Total power optimization for wireless multimedia communication — NYU Scholars

These systems also rely on the availability of the , network and cannot be used when not connected. The main theme of our approach is: ture to localize data for both communication and video. In this I enough performance for minimal energy consumption.

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This is in way the data streams are reduced and efficiently transferred contrast to the main stream of current research in computer directly to their destination. Abnous and Rabaey propose an systems which aims at the highest performance, and where architecture for signal processing applications that is flexible and energy consumption is of minor concern.

Even though battery uses low power [l]. The architecture consists of a control proc- technology, processors and displays are improving continuously essor surrounded by a heterogeneous array of autonomous, in terms of power consumption, the every day use of the Pocket special purpose satellite processors.

Energy‐efficient wireless networking for multimedia applications

However, when designing a system it is a the system and manage the overall control flow of a given signal problem to predict the conisequences and effectiveness of design processing algorithm. The satellite processors perform the domi- decisions because implementation details can only be accurately nant, energy-intensive computational tasks of algorithms. The modelled or estimated at the technological level and not at the granularity of these tasks is relatively small. Some examples higher levels of abstraction. Although they may not explicitly say so, management of the system.

This is because batteries have a finite supply of energy as opposed to power, although batteries also put limits on The two main themes tlhat can be used for energy reduction at peak power consumption as well.

Energy is the time integral of system level are to avoid wasteful activity, and to exploit locality of reference. Reducing power consumption only saves energy if the total energy consumption is the interconnect. Experiments have time required to accomplish the task does not increase too much. This amount not may not consume more energy for a certain program. For can increase dramatically for systems with multiple chips due to example, even if processor A's power consumption is twice that large off-chip bus capacitance.

The power consumption of the of processor B, A's energy consumption could actually be less if it interconnect is highly dependent on algorithm and architecture- can execute the same program more than twice as quickly as B. Two properties of algorithms are impor- tant for reducing interconnect power consumption: locality and 2. The design flow of a system constitutes of various levels of Locality relates to the degree to which a system or algorithm abstraction.

Research has shown that there is no single approach has natural isolated clusteirs of operation or storage with a few for reducing energy in systems like the Pocket Companion [2]. Partitioning the system or algo- When a system is designed with the emphasis on power optimiza- rithm into spatially local clusters ensures that the majority of the tion as a performance goal, then the design must embody optimi- data transfers take place within the clusters and relatively few zation at all levels of the design flow.

In general there are three between clusters. The result is that the local buses are shorter and levels on which energy reduction can be incorporated. The system more frequently used than the longer highly capacitive global level, the architecture level, and the technological level. First of buses. Common patterns enable the design of reduce the power consumption considerable. For example, at the less complex architecture and therefore simpler interconnect system level inactive modules may be turned off to save power.

At the architectural level, parallel hardware may be used to For multimedia applications in particular, there is a substantial reduce global interconnect and allow a reduction in supply reduction in energy consuimption possible as the computational voltage without degrading system throughput. Furthermore, we complexity is high, have a regular and spatially local computa- have to use components that use the latest developments in low tion, and the communication between modules is significant.

1. Introduction

Improving the energy efficiency by exploiting locality of refer- The system and architecture have to be designed targeted to ence and using efJicient application-specijic modules therefore the possible reduction of energy consumption at the gate level. An important aspect of the design flow is the relation and feed- back between the levels. The designer has to select a particular algorithm, consumption in the Moby Dick architecture. In this paper we design or use an architecture that can be used for it, and deter- focus on the system architecture, networking, and the integration mines various parameters such as supply voltage and clock of Quality of Service and power management.

Our approach is frequency. This multi-dimensional design space offers a large based on extensive use of power reduction techniques at all levels range of possible trade-offs. At the highest levels the most influ- of system design and has a number of premises: ence on the properties of a design is obtainable.

Therefore the An architecture with a ;:eneral purpose processor surrounded most effective design decisions derive from choosing and opti- by a set of heterogeneous programmable modules, each mizing architectures and algorithms at the highest levels. It has providing an energy efficient implementation of dedicated been demonstrated by several researchers [lo] that system and tasks. The application copies.