Title :
Approximate Performance Analysis for Linear Codes in Superposition Schemes over Gaussian Broadcast Channels
Author :
Bhat, Uttam ; Fertonani, Dario ; Duman, Tolga M.
Author_Institution :
Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
fDate :
8/1/2010 12:00:00 AM
Abstract :
Unequal error-protection schemes obtained by means of two-level superposition coding are considered. Their performance over Gaussian broadcast channels (GBCs) is investigated with optimal maximum-likelihood decoding as well as with a suboptimal decoding strategy based on interference cancellation. We focus on GBCs without fading and, assuming that linear codes are used, we evaluate, for both decoding strategies, analytical approximations of the word-error rate based on a suitable application of the union bound. As in the case of turbo codes and turbo-coded modulations in schemes without superposition, the derivation of the approximations exploits the concept of uniform interleaving. The analytical expressions obtained are in excellent agreement with the simulation results, and thus provide a useful tool for analysis and design of practical superposition-coding schemes. Unlike the existing design tools, which rely on the assumption of infinite-length superposition codes, the proposed approach allows us to study the effectiveness of finite-length coding schemes with known distance spectrum.
Keywords :
Gaussian channels; broadcast channels; linear codes; maximum likelihood decoding; turbo codes; Gaussian broadcast channels; approximate performance analysis; infinite-length superposition codes; linear codes; optimal maximum-likelihood decoding; superposition schemes; turbo-coded modulations; unequal error-protection schemes; Approximation methods; Encoding; Integrated circuits; Maximum likelihood decoding; Random variables; Simulation; Gaussian broadcast channels; interference cancellation; superposition coding; turbo codes; union bound;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.08.090427