Overcoming the conventional trade-off between throughput and bit error rate (BER)
performance, versus computational complexity is a long-term challenge for uplink Multiple …

Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …

Multiple-input multiple-output (MIMO) significantly increases the throughput of a
communication system by employing multiple antennas at the transmitter and the receiver …

In this paper, we proposed a discrete sorting optimization approach for uplink channel of
Massive Multiple Input, Multiple Output (MIMO) system. The algorithm includes users (UEs) …

There have been a number of researches on soft iterative detection and decoding scheme
for coded multiple-input-multiple-output (MIMO) systems. Minimum mean square error …

Recently, a variety of low complexity soft-input soft-output detection algorithms have been
introduced for iterative detection and decoding (IDD) systems. However, it is still challenging …

An optimal soft multiple-input multiple-output (MIMO) detector is proposed with linear
complexity for a general spatial multiplexing system with two transmitting symbols and NR≥ …

Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

Large MIMO base stations remain among wireless network designers' best tools for
increasing wireless throughput while serving many clients, but current system designs …

We present a soft-output multiple-input multiple-output (MIMO) detection algorithm that
achieves near max-log optimal error rate performance with low-and fixed-computational …