Abstract: We propose a new class of soft-input soft-output demodulation schemes for multiple-input multiple-output (MIMO) channels, based on the sequential ...
Abstract-We propose a new class of soft-input soft- output demodulation schemes for multiple-input multiple- output (MIMO) channels, based on the sequential ...
Oct 8, 2009 · Abstract. In this paper we study a Markov Chain Monte Carlo (MCMC) Gibbs sampler for solv- ing the integer least-squares problem.
Feb 9, 2022 · The main challenge is to find low complexity, hardware feasible methods that are able to attain near optimal performance. Randomized algorithms ...
Missing: demodulation | Show results with:demodulation
The stochastic SMC sampler generates MIMO symbol samples based on importance sampling and resampling techniques, whereas the deterministic SMC approach ...
In this paper we study a Markov Chain Monte Carlo (MCMC) Gibbs sampler for solving the integer leastsquares problem. In digital communication the problem is ...
Layered Gibbs Sampling Algorithm for Near-Optimal Detection in Large-MIMO ... In this paper, we propose low-complexity algorithms based on Monte Carlo sampling ...
Missing: demodulation | Show results with:demodulation
Algorithm 1 shows the sampling with the HMC method. The. Hamiltonian is constant based on (7). Thus, a large change in the momentum r significantly ...
Missing: demodulation | Show results with:demodulation
An iterative sequential detection algorithm was proposed for near-optimal detection in uplink massive MIMO systems with O ( K 2 ) complexity in [25] ...
Manish Mandloi and Vimal Bhatia, Senior Member, IEEE. Abstract—A novel low-complexity iterative sequential detec- tion algorithm is proposed for ...