Gradient-Based Markov Chain Monte Carlo for MIMO Detection
Accurately detecting symbols transmitted over multiple-input multiple-output (MIMO) wireless
channels is crucial in realizing the benefits of MIMO techniques. However, optimal MIMO …
channels is crucial in realizing the benefits of MIMO techniques. However, optimal MIMO …
Best-first tree search with probabilistic node ordering for MIMO detection: Generalization and performance-complexity tradeoff
The tree representation of the multiple-input multiple-output (MIMO) detection problem is
illuminating for the development, interpretation, and classification of various detection …
illuminating for the development, interpretation, and classification of various detection …
Low complexity, pairwise layered Tabu search for large scale MIMO detection
S Chakraborty, NB Sinha, M Mitra - Wireless Personal Communications, 2023 - Springer
This paper presents a low complexity pairwise layered tabu search based detection
algorithm for a large-scale multiple-input multiple-output system. The proposed algorithm …
algorithm for a large-scale multiple-input multiple-output system. The proposed algorithm …
A semi-adaptive MMSE weights generation approach for ordered successive detection in MIMO systems
A Benjebbour, S Yoshida - IEICE transactions on communications, 2004 - search.ieice.org
To increase the spectral utilization efficiency of a wireless link, multiple-input multiple-output
(MIMO) systems can be employed to transmit several data streams in parallel at the same …
(MIMO) systems can be employed to transmit several data streams in parallel at the same …
Efficient channel-adaptive MIMO detection using just-acceptable error rate
This paper proposes a new concept of multiple-input multiple-output (MIMO) detection,
aiming at minimizing the average computational cost. The detection methods are adapted …
aiming at minimizing the average computational cost. The detection methods are adapted …
Improved LAS detector for MIMO systems with imperfect channel state information
I Chihaoui, ML Ammari, P Fortier - IET Communications, 2019 - Wiley Online Library
Likelihood ascent search (LAS) detector is a neighbourhood search algorithm and one of
the simplest schemes for low‐complexity near‐optimal detection in massive multiple‐input …
the simplest schemes for low‐complexity near‐optimal detection in massive multiple‐input …
On some near optimal low complexity detectors for MIMO fading channels
Y Xie, Q Li, CN Georghiades - IEEE Transactions on Wireless …, 2007 - ieeexplore.ieee.org
We introduce several low complexity sub-optimal MIMO detection schemes based on the
List-BLAST algorithm, which exhausts the constellation points in the first layer of a BLAST …
List-BLAST algorithm, which exhausts the constellation points in the first layer of a BLAST …
Low complexity detection algorithms in large-scale MIMO systems
A Elghariani, M Zoltowski - IEEE Transactions on Wireless …, 2015 - ieeexplore.ieee.org
In this contribution, we present low-complexity detection algorithms in large-scale MIMO
systems where they achieve significantly better bit error rate (BER) performance than known …
systems where they achieve significantly better bit error rate (BER) performance than known …
Low-complexity MIMO detection based on post-equalization subspace search
Two low-complexity effective detection schemes for multiple-input-multiple-output (MIMO)
systems based on post-equalization subspace search are proposed in this paper. With the …
systems based on post-equalization subspace search are proposed in this paper. With the …
A new reduced complexity ML detection scheme for MIMO systems
JS Kim, SH Moon, I Lee - IEEE transactions on communications, 2010 - ieeexplore.ieee.org
For multiple-input multiple-output (MIMO) systems, the optimum maximum likelihood (ML)
detection requires tremendous complexity as the number of antennas or modulation level …
detection requires tremendous complexity as the number of antennas or modulation level …