Optimization of Information Rate Upper and Lower Bounds for Channels with Memory

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Submitted to IEEE Transactions on Information Theory, November 24, 2007

Scientific paper

We consider the problem of minimizing upper bounds and maximizing lower bounds on information rates of stationary and ergodic discrete-time channels with memory. The channels we consider can have a finite number of states, such as partial response channels, or they can have an infinite state-space, such as time-varying fading channels. We optimize recently-proposed information rate bounds for such channels, which make use of auxiliary finite-state machine channels (FSMCs). Our main contribution in this paper is to provide iterative expectation-maximization (EM) type algorithms to optimize the parameters of the auxiliary FSMC to tighten these bounds. We provide an explicit, iterative algorithm that improves the upper bound at each iteration. We also provide an effective method for iteratively optimizing the lower bound. To demonstrate the effectiveness of our algorithms, we provide several examples of partial response and fading channels, where the proposed optimization techniques significantly tighten the initial upper and lower bounds. Finally, we compare our results with an improved variation of the \emph{simplex} local optimization algorithm, called \emph{Soblex}. This comparison shows that our proposed algorithms are superior to the Soblex method, both in terms of robustness in finding the tightest bounds and in computational efficiency. Interestingly, from a channel coding/decoding perspective, optimizing the lower bound is related to increasing the achievable mismatched information rate, i.e., the information rate of a communication system where the decoder at the receiver is matched to the auxiliary channel, and not to the original channel.

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

Optimization of Information Rate Upper and Lower Bounds for Channels with Memory 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 Optimization of Information Rate Upper and Lower Bounds for Channels with Memory, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimization of Information Rate Upper and Lower Bounds for Channels with Memory will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-248498

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