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An improved version of effective diversity gain (EDG) evaluation system is proposed for multiple-input multiple output (MIMO) and diversity antennas. By enhancing the sensitivity of the RF power detection module and increasing rejection of background noises, measurements can now be conducted in actual propagation environments. The control computer is replaced with a laptop to improve system mobility...
Targeting the spatial-modulation (SM) MIMO systems, a symbol detector is designed, implemented, and verified. The detector is designed based on a low-complexity dual datapath architecture performing the modified signal-vector-based list detection. Implemented in 0.18μm CMOS, the detector occupies 1.85mm2 and shows the throughput of 686Mbps for 16 × 4 256-QAM SM-MIMO systems. Evaluated under a hardware-in-the-loop...
At the current state in multiuser detection, MMSE detector is very popular because it exhibits a good balance between performance and complexity. Therefore, we investigate the capacity-aware version of the MMSE scheme, linear detection method. In this paper, an novel MMSE MIMO detector is proposed with respect to MMSE MIMO channel estimation. We will show how a two-step MMSE MIMO estimator can be...
In this paper, we studied the massive multiple-input multiple-output (MIMO) system performance with N antenna users and streams can be multiplexed per each user. The spectral efficiency (SE) of uplink and downlink expressions is derived for any N antenna users and these achievable using estimated channels and per user basis minimum mean squared error successive interference cancellation (MMSE-SIC)...
The newly proposed sparse-code multiple-access (SCMA) has been shown to approach the single-user performance even the overload reaches 150% when message passing algorithm (MPA) detection is applied. Obviously, combined with multiple-input multiple-output (MIMO) techniques, the spectrum efficiency of SCMA system can be further improved. While maximum likelihood (ML) detection is optimal for MIMOSCMA,...
We consider extensions of orthogonal matching pursuit (OMP) and oblique matching pursuit (ObMP) detectors for generalized space shift keying (GSSK). In particular, the maximum a posteriori (MAP) principle is incorporated with the OMP/ObMP so that the posteriori ratio can be maximized iteratively. Due to the fact that the posteriori ratio cannot be evaluated at the receiver unless the activated transmit...
The maximal ratio combining (MRC) receiver has excellent performance in the uplink of massive multiple-input-multiple-output (MIMO) systems under favorable propagation, but the performance degrades very much in a harsh channel because of interference. Theoretical analysis showing this phenomenon is given for a particular class of fading channel. A novel receiver, exploiting preemphasis/deemphasis...
Compared with the conventional amplitude phase modulation (APM), spatial modulation (SM) is a low- complexity, yet energy-efficient transmission technique, whereby transmit antenna (TA) indices are utilized to convey the information. However, the number of the required TAs grows exponentially with the number of transmitted bits, which leads to unacceptable pilot overhead for channel estimation in...
In this paper, a novel closed form expressions for the area under the receiver operating characteristic curve (AUC) of an energy detector is measured over generalized fading channel in terms of computable Meijer G-function. We consider the reporting channel in the Multiple-Input Multiple-Output (MIMO) based centralized cooperative spectrum sensing is experiencing a κ — μ fading channel. We assume...
This paper presents a low complexity detection technique with near Maximum Likelihood (ML) performance for large multiple-input multiple-output (MIMO) systems. Large MIMO systems have gained popularity very soon because of high spectral efficiency and increased link reliability. ML based detection is known to give optimal result in terms of accuracy but due to extremely high computational complexity...
In this work, we consider a two-channel multiple-input multiple-output (MIMO) passive detection problem, in which there is a surveillance array and a reference array. The reference array is known to carry a linear combination of broadband noise and a subspace signal of known dimension but unknown basis. The question is whether the surveillance channel carries a linear combination of broadband noise...
With a large number of antennas at the transmitter and receiver, massive multiple-input multiple-output (MIMO) systems can achieve substantially high spectral efficiency as well as high stability and reliability. Nevertheless, one of the major challenges for its practical use is its computational complexity for symbol detection that grows exponentially with the number of antennas. In this work, we...
In this work, we propose a new framework called sequential reduction (SR) for reducing lattice bases, which harnesses the approximate closest vector problem (εCVP) oracles to sequentially reduce each basis vector. With the best εCVP oracle to serve as the theoretical upper limit of this scheme, our bound on basis lengths can be better than that of Minkowski's reduction under a mild assumption. A practical...
In this paper, we propose the uplink transceiver for Subcarrier Index Modulation (SIM) OFDM in multiuser massive MIMO systems with imperfect channel state information (CSI). In the proposed scheme, the indexes of inactive subcarriers implicitly transmit information bits and the subcarriers activation process is only dependent on modulation order of M-QAM. To mitigate multiuser interference at the...
In this paper, we investigate the achievable uplink spectral efficiency (SE) and its approximate analytical expression in massive multi-input multi-output (MIMO) systems, using finite precision analog-digital converters (ADCs) and zeroforcing (ZF) technique at the receivers. To analyze the system performance, we adopt the additive quantization noise model, where the quantization noise is treated as...
Non-orthogonal multiple access (NOMA), which improves spectrum efficiency and system throughput, is one of the promising radio access techniques for 5G. In this paper, NOMA is combined with spatial multiplexing multiple-input multiple-output (MIMO) technology for enhanced spectral efficiency. In multi-stream MIMO signaling, we considered stronger far user's MIMO signal when detecting the near user's...
This paper presents a flexible Markov Chain Monte Carlo based MIMO (multi-antenna) detector ASIC that efficiently uses the available computing resources by leveraging inherent chain-level and symbol-level parallelism offered by the underlying detection algorithm. Compared to a reference architecture from literature, we roughly double the throughput on average, while achieving a speedup of up to 4...
This paper considers the detector design and performance analysis in a widely separated multiple input — multiple output (S-MIMO) radar. We studied this subject under some assumptions such as single point target, Swerling models for radar cross section and Gaussian interference. The target is moving in piecewise linear trajectory and multi-scan data is stored. So, the target cell maybe changed through...
In this paper, we address the problem of underdetermined massive MIMO detection (the number of observations is less than the number of sources) assuming QAM constellations. In [1], the authors showed the utility of projecting the signal on a basis of the modulation alphabet, looking for the sparsest vector representation. As an extension of this work and in order to reduce the detection complexity,...
This paper proposes a normalized matched filter (MF) belief in Gaussian belief propagation (GaBP) detection especially for a large multiple-input multiple-output (L-MIMO) configuration where a base station (BS) has tens of antennas. In a massive MIMO channel where the BS has hundreds of antennas, damped GaBP is known to be an effective detector in terms of low computational complexity and its detection...
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