We implemented an RF-adaptive array antenna (RF-AAA) on a multiple-input multiple-output (MIMO) receiver using Alamouti’s scheme. A new criterion maximizing the squared Frobenius norm of the MIMO channel matrix is proposed for controlling the RF-AAA. Computer simulation showed that a 2× 2 MIMO system with a 2-element RF-AAA implemented using Alamouti’s scheme provided an array and a greater div...

In this paper, we quantify performance gain achieved if SISO system is replaced with 4x4 MIMO in WLAN setting compatible with IEEE 802.11n standard. We compare throughput and power savings in MIMO by taking field measurements at various indoor locations. Measurements are validated with simulations that include different IEEE TGn channel models. For comparison between MIMO and SISO, we select th...

SUMMARY This paper reviews recently published results on multiple input multiple output (MIMO) channel modeling. Both nar-rowband and wideband models are considered. We distinguish between two main approaches to MIMO channel modeling, namely, physically based and non-physically based modeling. The non-physical models primarily rely on the statistical characteristics of the MIMO channels obtaine...

As massive MIMO is currently considered a leading 5G technology candidate, channel models that capture important massive MIMO channel characteristics are urgently needed. In this paper we present an attempt for massive MIMO channel modeling based on measurement campaigns at 2.6 GHz in both outdoor and indoor environments, using physically-large arrays and with closelyspaced users. The COST 2100...

Usually, multiple-input-multiple-output (MIMO) testbeds are combined with channel emulators for testing devices and algorithms under controlled channel conditions. In this work, we propose a simplemethodology that allows over-the-air (OTA)MIMO testing using a MIMO testbed solely, avoiding the use of channel emulators. The MIMO channel is emulated by linearly combining the signals at the testbed...

Non-orthogonal multiple access (NOMA), as the newest member of the multiple access family, is envisioned to be an essential component of 5G mobile networks. The combination of NOMA and multiantenna multi-input multi-output (MIMO) technologies exhibits a significant potential in improving spectral efficiency and providing better wireless services to more users. In this article, we introduce the ...

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...

CDMA and MIMO-CDMA systems using RAKE receivers are heavily limited by selfand multiple-accessinterference. Linear equalization is a means to remove this interference, however it is often not practical due to the enormous complexity, especially in the MIMO case. This paper presents an approach to greatly reduce the complexity of linear MIMO equalizers. It discusses the complexity reduction of t...

-The data rates and the supported range in communication systems, can be increased using MIMO (Multiple input and multiple output) technique. MIMO technique uses multiple antennas at both transmitter and receiver. MIMO systems uses Orthogonal frequency division multiplexing (OFDM) technique for multicarrier modulation. QR decomposition (QRD) is the first step in the decoding of the MIMO receive...