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We introduce a low-complexity layered iterative sampling algorithm for near-optimal detection in uplink massive multiple-input multiple-output (MIMO) systems based on the Gibbs sampling. In contrast to the most of Gibbs-sampling-based detectors in the previous arts, which assuming the numbers of transmitting and receiving antennas are similar, in this paper we assume the number of receiving antennas...
Stochastic turbo decoder is a new scheme for turbo codes. But the long decoding latency and high complexity are two main challenges for fully parallel stochastic turbo decoders. In this paper, we proposed a novel stochastic turbo decoder scheme with two high accuracy stochastic operator modules, including no-scaling stochastic addition and stochastic normalization operator, which can improve the decoding...
It is very important for the future wireless or mobile communication systems to achieve high speed Turbo decoder. A novel Turbo decoder structure and implementation scheme are proposed in this paper. The MAX-log-MAP algorithm is implemented in probability domain with stochastic computation method in this paper. The signed stochastic calculations are adopted to meet the requirements of log-MAP decoder...
In this paper, we propose a fast converging multiuser detection for interleave-division multiple access (IDMA) system based on time-reversal (TR) technique. The proposed algorithm uses the time-reversed version of the channel impulse responses (TR-CIR) obtained from the uplink to process the received signal before the elementary signal estimator (ESE). With the help of the weak correlation of fading...
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