A Reduced-State-Space Markov Chain Monte Carlo Method for Iterative Spatial Multiplexing MIMO
Markov Chain Monte Carlo (MCMC) method applied as Multiple-Input-Multiple- Output (MIMO) detector has shown near capacity performance. However, the conventional MCMC method suffers from an error floor in the high signal-to-noise (SNR) region. This paper proposes a novel robust reduced-state- space MCMC (RSS-MCMC) method, which utilizes the a priori information for the first time to qualify the reliable decoded bits from the entire signal space. The new robust MCMC method is developed to deal...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM 2009)|
|01_Zhao_A_Reduced-State-Space_Markov_2009.pdf||179.84 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.