In this paper, we propose algorithms for signal detection in large-scale multiuser spatial modulation multipleinput multiple-output (SM-MIMO) systems. In large-scale SMMIMO, each user is equipped with multiple transmit antennas (e.g., 2 or 4 antennas) but only one transmit RF chain, and the base station (BS) is equipped with tens to hundreds of (e.g., 128) receive antennas. In SM-MIMO, in a giv...

Massive multi-input multi-output (MIMO) uses a very large number of low-power transmit antennas to serve much smaller numbers of users. The most widely proposed type of massive MIMO transmit beamforming is zero-forcing, which is based on the right inverse of the overall MIMO channel matrix to force the inter-user interference to zero. The performance of massive MIMO is then analyzed based on th...

The outstanding traffic growth of wireless communication network rises both the insufficient network capacity and extreme carbon release. The demerits of long-distance wireless communication system are, limited available frequency, channel capacity, bandwidth, complexity, reliability, transmission dada rate etc. Multiple – input multiple output (MIMO) can improve the spectral efficiency (SE) jo...

Massive multiple-input multiple-output (MIMO) is a strong candidate for the fifth generation (5G) communications system for its high data rate and link reliability. Combining the massive MIMO with orthogonal frequency division multiplexing (OFDM) technique will increase the robustness of the system against the delay spread in the multipath channel. However, OFDM systems are sensitive to frequen...

The massive MIMO and energy efficiency (EE) analysis for the next generation technology are the hottest topics in wireless network research. This paper explains about massive MIMO wireless networks and EE for manifold channel which is an evolution massive MIMO. This research will help to design and implement a practical system of next generation network based on massive MIMO where efficient pro...

A detection scheme for uplink massive MIMO, dubbed massive-BLAST or M-BLAST, is proposed. The derived algorithm is an enhancement of the well-known soft parallel interference cancellation. Using computer simulations in massive MIMO application scenarios, M-BLAST is shown to yield a substantially better error performance with reduced complexity, compared to the benchmark alternative of a one-sho...

Cell-Free (CF) Massive multiple-input multipleoutput (MIMO) is a distributed antenna system, wherein a large number of back-haul linked access points randomly distributed over a coverage area serve simultaneously a smaller number of users. CF Massive MIMO inherits favorable propagation of Massive MIMO systems. However, the level of favorable propagation which highly depends on the network topol...

To acquire the maximal array gain and mitigate the impact of pilot contamination, the downlink precoding algorithm on Max-SINR criterion was investigated and improved for Massive MIMO system. The objective function assured to maximize the utilization rate of the transmission power under the condition that SINR is not lower than the desired threshold. The Lagrangian function was deduced accordin...

Abstract—Massive multiple-input multiple-output (MIMO) systems equipped one base station (BS) with a large number of antenna arrays and allows for improvement on energy and spectral efficiency with the presence of linear signal processing. This paper first explores the fundamental models of massive MIMO from information theoretical perspective, then gives a deep insight of two linear precoders ...