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In this paper, we investigate the energy efficiency (EE) of massive multiple-input multiple-output (MIMO) systems with linear maximum ratio combining (MRC) and zero-forcing (ZF) receivers. To be practical, the baseband power consumption with algorithm computational complexity (ACC) is taken into account. Utilizing this model, we maximize the global optimal number of receiver antenna and sum rate with...
It is known that by extracting log-likelihood ratio (LLR) values from the received MIMO signals, a MIMO detector is able to exchange a posteriori soft information with a channel decoder to improve the error performance. A minimum mean-square error with parallel interference cancellation (MMSE-PIC) detector is considered to be a practical MIMO detector, but the computational complexity for the LLR...
This paper presents multiple beacon vectors based robust detection schemes for cooperative spectrum sensing (CSS) in multiple-input multiple-output (MIMO) cognitive radio (CR) networks under channel state information (CSI) uncertainty. The inaccuracies in the estimate of the CSI are modeled as the standard ellipsoidal uncertainty set. We develop a multiple beacon vector based linear discriminant framework...
Two near-optimal, low-complexity latticereduction- aided (LRA) conditional detectors are proposed for multiple-input multiple-output (MIMO) systems. The reduction is performed only on a selection of columns of the channel matrix and conditional optimization is performed on the remaining ones. In the proposed schemes, the best submatrix for conditional detection is selected by considering all possible...
With better spectral efficiency, multiple-input and multiple-output (MIMO) systems have drawn increasing attentions. Due to its near-optimal performance, K-best algorithm has been widely adopted for MIMO detection. To the best knowledge of the authors, this paper first proposes a joint detection and decoding (JDD) method for MIMO with low-density parity-check (LDPC) codes. By pruning the searching...
Space-time trellis codes (STTCs) combine channel coding and multiple-input multiple-output (MIMO) techniques to provide coding and diversity gains for wireless communication systems. The decoding complexity is extremely high because of the high density of branch metric calculations. Thus, this study presents a state-purging mechanism based on the T-algorithm to reduce the computational complexity...
In the time-division-duplex (TDD) system, the channel state information (CSI) is mainly obtained through channel estimation. The active eavesdropper is able to attack the channel estimation phase by sending the same pilot signals as the legitimate users send to the base station without being detected, which can destroy the CSI acquired through channel estimation and greatly decrease the communication...
The development of low complexity, high performance spatial-multiplexing MIMO detectors continues to be an important area of research capable of increasing the spectral efficiency and capacity of wireless networks. The Markov Chain Monte Carlo (MCMC) detector has shown promise as a high performance method with low complexity growth. We present a solution to the high SNR stalling problems of previous...
The new spatial modulation schemes that appeared in the early twenty-first century allow for a new exploitation of the space to an increase in the spectral efficiency of MIMO systems. These new schemes commonly referred to as spatial modulations use the index of the transmit (resp. the receive) antenna to transmit additional data. We concentrate our study on the spatial modulations at the receiver...
In this paper, we propose an analog phase shifter aided spatial modulation scheme. The proposed scheme is able to send more spatial symbols than conventional spatial modulation (SM), while reserving the low complexity of single RF-chain MIMO structure. The main idea is to transmit Nt different phase-shifted copies of the digitally modulated signal through Nt antennas. In each time slot, the transmitted...
Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM), which provides a flexible trade-off between spectral efficiency and error performance, is recently proposed as a promising transmission technique for energy-efficient 5G wireless communication systems. However, due to the dependence of subcarrier symbols within each subblock and the strong...
In this paper, spatial modulation (SM) technique and low density parity check code (LDPC) are combined. SM technique seems to provide transmissions speed and spectral efficiency at same levels under the low system complexity and cost compared to traditional multiple input multiple output (MIMO) transmission systems. However, SM may give high bit error rate (BER) values at low signal to noise ratios...
In this paper, we address the problem of signal detection in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system by using auto-encoder (AE) network and extreme learning machine (ELM). The existing signal detection algorithms, such as zero-forcing successive-interference-cancellation (ZF-SIC), minimum-mean-square-error successive-interference-cancellation...
Multiple-input multiple-output (MIMO) communication is an important technique to increase the transmission capacity, but the increased antenna number does not necessarily increase the throughput because of more antenna interference and decoding complexity. An iterative detector-and-decoder (IDD) can effectively improve transmission performance by exchanging reliability information such as log likelihood...
The massive MIMO technique has played the most important role in 5G wireless communication. It is anticipated that the new techniques employed in massive MIMO will not only improve peak service data rates significantly, but also enhance capacity, coverage, low-latency, efficiency flexibility, compatibility and convergence, thus meeting the focusing demands imposed by optimal detection. This paper...
The current use of algebraic space-time block codes (STBC) such as Golden Codes and Integer Codes (ICs) in multiple-input multiple-output (MIMO) wireless communication systems is limited by the decoders' lack of ability to produce log-likelihood ratios (LLRs) for compatibility with the state-of-art soft-input forward error correction codes (FEC). In this paper, we show that ICs can be described as...
A realistic stochastic multiple-input multiple-output (MIMO) channel is presented in this paper. It is shown that the spatial correlation depends on the statistical properties of the channel, the antenna pattern, the inter-element spacing and the array configuration. Furthermore, the total spatial correlation matrix is equal to the Kronecker product of the transmit and receive correlation matrices...
Multiple - Input Multiple - Output is another era innovation that guarantees noteworthy increments in throughput and scopes of remote correspondence with no expansion in transmit control. A MIMO framework depends on procedures, for example, spatial multiplexing, transmit differing qualities and beam forming to enhance the nature of transmission, information rates and received signal gain and in addition...
In this paper we consider the classical problem of downlink (DL) multiuser (MU) multi-input-multi-output (MIMO) scheduling with linear transmit precoding. This problem was formulated over a decade ago and has been deeply studied since then. Moreover, MU-MIMO with linear transmit precoding is being increasingly pursued as a key technology by the industry, with a strong emphasis on efficient scheduling...
Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is known as a high capacity system for data transmission over broadband wireless communication channels. However, the time-varying fading and Doppler effect of the underwater acoustic channel can destroy the orthogonality of subcarriers, causing intercarrier interference (ICI). In this paper, we proposed a combined...
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