Skip navigation

On information rates of time-varying fading channels modeled as finite-state Markov channels

On information rates of time-varying fading channels modeled as finite-state Markov channels

Sadeghi, Parastoo and Rapajic, Predrag (2008) On information rates of time-varying fading channels modeled as finite-state Markov channels. IEEE Transactions on Communications, 56 (8). pp. 1268-1278. ISSN 0090-6778 (doi:10.1109/TCOMM.2008.060622)

Full text not available from this repository.

Abstract

We study information rates of time-varying flat-fading channels (FFC) modeled as finite-state Markov channels (FSMC). FSMCs have two main applications for FFCs: modeling channel error bursts and decoding at the receiver. Our main finding in the first application is that receiver observation noise can more adversely affect higher-order FSMCs than lower-order FSMCs, resulting in lower capacities. This is despite the fact that the underlying higher-order FFC and its corresponding FSMC are more predictable. Numerical analysis shows that at low to medium SNR conditions (SNR lsim 12 dB) and at medium to fast normalized fading rates (0.01 lsim fDT lsim 0.10), FSMC information rates are non-increasing functions of memory order. We conclude that BERs obtained by low-order FSMC modeling can provide optimistic results. To explain the capacity behavior, we present a methodology that enables analytical comparison of FSMC capacities with different memory orders. We establish sufficient conditions that predict higher/lower capacity of a reduced-order FSMC, compared to its original high-order FSMC counterpart. Finally, we investigate the achievable information rates in FSMC-based receivers for FFCs. We observe that high-order FSMC modeling at the receiver side results in a negligible information rate increase for normalized fading rates fDT lsim 0.01.

Item Type: Article
Uncontrolled Keywords: Markov processes, finite-state Markov channels, channel capacity, fading channels
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering > Department of Computer & Communications Engineering
School of Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:07
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/2674

Actions (login required)

View Item View Item