Neighborhood search algorithms have been proposed for low complexity detection in
large/massive multipleinput multiple-output systems. They iteratively search for the vector …

Neighborhood search algorithms have been proposed for detection in large multiple-input
multiple-output systems. They iteratively search for the best vector in a fixed neighborhood …

A recently reported result on large/massive multiple-input multiple-output (MIMO) detection
shows the utility of the branch and bound (BB)-based tree search approach for this problem …

Neighborhood search algorithms (NSAs) reduce the detection complexity in a multiple-input
multiple-output (MIMO) system equipped with a large number of antennas. These algorithms …

Multiple-input-multiple-output (MIMO) technology can efficiently use the spectrum to
increase the communication throughput. Designing low-complexity detection algorithms with …

We present a low-complexity algorithm for detection in large MIMO systems based on the
likelihood ascent search (LAS) algorithm. The key idea in our work is to generate multiple …

In this paper, we investigate the performance of the low-complexity algorithms based on
Likelihood Ascent Search (LAS) and Tabu Search (TS) for detection in MIMO systems with …

In this paper, a new randomized iterative detection algorithm (NRIDA) is proposed for uplink
large-scale MIMO systems, where the random iterations in it are designed to work for the …

This paper presents a low complexity detection technique with near Maximum Likelihood
(ML) performance for large multiple-input multiple-output (MIMO) systems. Large MIMO …

Neighborhood search algorithms such as likelihood ascent search (LAS) and reactive tabu
search (RTS) have been proposed for low complexity detection in multiple-input multiple …