Performance Analysis of SSMA Communication Systems With Spreading Sequences of Markov Chains: Large Deviations Principle Versus the Central Limit Theorem.
Hiroshi FujisakiPublished in: IEEE Trans. Inf. Theory (2011)
Keyphrases
- communication systems
- markov chain
- large deviations
- central limit theorem
- markov processes
- importance sampling
- state dependent
- steady state
- heavy traffic
- queue length
- markov process
- finite state
- stationary distribution
- monte carlo
- probability distribution
- transition probabilities
- computer systems
- queueing systems
- random walk
- asymptotically optimal
- state space
- stochastic process
- hidden markov models
- heavy tailed
- markov chain monte carlo
- stochastic processes
- dynamic programming
- search space