Cross-Layer Modeling of Randomly Spread CDMA Using Stochastic Network Calculus

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

File submitted to PIMRC has 5 pages. 3 figures, Submitted to PIMRC,2011

Scientific paper

Code-division multiple-access (CDMA) has the potential to support traffic sources with a wide range of quality of service (QoS) requirements. The traffic carrying capacity of CDMA channels under QoS constraints (such as delay guarantee) is, however, less well-understood. In this work, we propose a method based on stochastic network calculus and large system analysis to quantify the maximum traffic that can be carried by a multiuser CDMA network under the QoS constraints. At the physical layer, we have linear minimum-mean square error receivers and adaptive modulation and coding, while the channel service process is modeled by using a finite-state Markov chain. We study the impact of delay requirements, violation probability and the user load on the traffic carrying capacity under different signal strengths. A key insight provided by the numerical results is as to how much one has to back-off from capacity under the different delay requirements.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Cross-Layer Modeling of Randomly Spread CDMA Using Stochastic Network Calculus does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Cross-Layer Modeling of Randomly Spread CDMA Using Stochastic Network Calculus, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Cross-Layer Modeling of Randomly Spread CDMA Using Stochastic Network Calculus will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-426119

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.