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CROSS-LAYER%20OPTIMIZATION

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A significant recent advances that demonstrate that wireless resources such as ... bandwidth is utilized When congestion control kicks in (break down/smash), the ... – PowerPoint PPT presentation

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Title: CROSS-LAYER%20OPTIMIZATION


1
CROSS-LAYER OPTIMIZATION
  • PRESENTED BY M RAHMAN
  • ID100746402

2
Outline
  • Introduction
  • What it is?
  • Why Cross-Layer ?
  • Optimization Goals
  • Pros and Cons
  • What are the Challenges
  • What are the research problems
  • Future tasks
  • Conclusions

3
Introduction
  • A significant recent advances that demonstrate
    that wireless resources such as (time, frequency,
    power, link data rates, and end-user data rates),
    across multiple layers can be incorporated into a
    unified optimization framework.

4
What it is?
  • To create infrastructure and algorithms to enable
    more optimal performance of the wireless system,
    by adopting an integrated, multi-layer approach.
  • The design and optimization process will combine
  • Innovations at physical layers
  • Control and scheduling at MAC layer
  • Efficient routing and admission control at
    network layer
  • Dynamics and flow control at transport layer
  • Specific requirements at application layers.

5
Optimization Goals
  • Lengthen system lifetime
  • Enable large scale networks
  • Low cost
  • High efficiency
  • Improve power efficiency
  • Prevent system deconstruction
  • Support node versatility
  • Multiple functionality
  • Multiple applications

6
Why Cross-Layer?
  • Possibility
  • Optimization goals can be pursued in multiple
    layers
  • layered optimizations assume cross-layer
    cooperation
  • Some applications do not need all layers
  • Multi-hop Local Positioning System (MLPS)
  • Necessity
  • Optimizing single layer is not enough
  • Optimizations may be conflict with each other
  • One-for-all consolidate design for feasible
    applications

7
Why Cross-Layer? (Contd.)
  • Heterogeneity
  • Intra connection vs. Inter connection
  • Scalability
  • Correctness verification
  • Reusability
  • Code reuse
  • Module reuse

8
Pros
  • Service Consistency Stable, consistent service
    quality is a basic requirement. If the consumers
    experience is inconsistent, he or she will be
    less likely to continue subscribing to the
    service.
  • Connection Reliability Reliable connections are
    extremely important to build consumer confidence
    in 3G services. A dropped connection during a
    wireless data session is more disruptive than a
    dropped voice call.
  • Consistent Multimedia Streaming Streaming video
    and audio are the key services that differentiate
    3G from 2G/2.5G networks. In a wireless WAN, RF
    variations can lead to long, initial buffering
    times and additional interruptions during
    viewing.

9
Cons
  • While applying Congestion control algorithms in a
    wireless environment, network efficiency problems
    occur
  • Redundant data is transmitted Congestion
    control algorithms induce retransmissions
    resulting in redundant data transmissions and
    multiple acknowledgements of data already
    received.
  • Less bandwidth is utilized When congestion
    control kicks in (break down/smash), the rate at
    which packets are sent is reduced, thereby
    failing to exploit valuable bandwidth.
  • Sessions are terminated When the protocol
    inaccurately determines that a connection has
    timed out, the session will terminate. Due to
    this response, some applications, like
    e-commerce, may be impossible to use.

10
What are Challenges?
  • Improved Coverage Transport optimization can
    increase effective cell coverage so that in areas
    where a user previously could not download a Web
    page due to poor signal quality, a user now can
    do so quickly. Carriers are able to deliver
    consistent service quality over a larger area
    without having to increase base station density.
  • More Capacity, Higher Returns Wireless networks
    have limited capacity due to limited spectrum.
    With a cross-layer optimization approach, mobile
    service providers increase network and spectrum
    utilization, freeing up usable bandwidth and
    available capacity.
  • Increased Throughput (document sending) and
    Improved Multimedia Performance Cross-layer
    optimization can increase application throughput
    up to nine times, improving the user experience
    and resulting in faster browsing, shorter
    buffering times for multimedia, and fewer
    interruptions in all cell areas.

11
Research Problems
  • Cross-Layer Design With Fairness
  • Constant-Overhead/Low-Overhead Implementation
  • Tightness of Throughput-Loss Bounds
  • Nonconcave Utility Functions
  • The Congestion-Control Problem
  • The Scheduling Problems
  • Propagation Delays and Connection-Level Stability
    Analysis
  • Traffic Arriving at all Nodes on the Route
    Instantaneously
  • Complexity Issues and Distributed Algorithms for
    General Physical Interference Models

12
Future Tasks
  • Do some theoretical study on the system
    limitations
  • System Throughput Network Scale
  • Node Synchronization and Positioning accuracy
  • Channel allocation and Mode decision
  • Identify and justify feasible application models
  • Implement the applications
  • Complete the protocol stacks
  • Tune the protocols and functional modules
  • Optimize the applications
  • Developing the research platform

13
Conclusions
  • While the progress in this area has been
    substantial over the last few years, there are
    still several open problems, especially in the
    area of multihop wireless networks, where
    scalability becomes a critical issue.
  • While the application can adapt to a
    rate-delay-performance tradeoff curve offered by
    the network and underlying links, by making the
    lower layer protocols aware of the tradeoffs
    inherent to the application adaptation, that
    tradeoff curve might be adjusted to improve
    end-to-end performance without using up more
    resources in the network.
  • In other words, if the application is aware of
    the lower layer protocol tradeoffs and these
    protocols aware of the application tradeoffs,
    these tradeoffs curves can be merged to operate
    at the best point relative to end-to-end
    performance.

14
Conclusions (contd.)
  • While implementing this philosophy, in spite of
    open research problem, it holds significant
    promise for the performance of ad hoc wireless
    networks
  • In todays wireless world, consumers are
    demanding secure, high-quality wireless data
    services to access their most important business,
    news and entertainment content while they are
    mobile.
  • By employing a cross-layer optimization solution
    that works transparently at the transport and
    application layer, the Web, streaming multimedia,
    e-mail and other applications perform at a level
    users expect.

15

  • Thank you

16
QUESTION SESSION
  • QUESTIONS?
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