The existing centralized antenna array architecture and the corresponding baseband processing based signal detection algorithms incur huge burden on raw data rates chip input/output bandwidth for massive multiple-input multiple-output (MIMO) systems. In this paper, we propose a novel decentralized under framework of expectation propagation algorithm (EPA) uplink MIMO This partitions base station antennas into multiple independent clusters, each associated with analog digital modulation...

Orthogonal time frequency space (OTFS) modulation has recently received considerable attention due to its capabilities exploit full time-frequency diversity and deal with channel dynamics in high-mobility scenarios. However, the implementation of high-performance receivers delay-Doppler (DD) domain poses serious challenges practice, especially rich-scattering environments when fractional Doppler is considered. In this letter, we first propose an iterative receiver under framework expectation...

Massive multiple-input multiple-output (M-MIMO) can significantly enhance the spectrum efficiency of cellular networks by deploying hundreds active elements at base stations and is envisaged to become key technology in 5th generation (5G) networks. However, large number antennas required brings about tremendous challenges for practical implementation, especially separation multiplexed data. Iterative approaches, such as Jacobi, Richardson, Gauss-Seidel (GS), successive overrelaxation (SOR),...

Decentralized baseband processing (DBP) architecture, which partitions the base station antennas into multiple antenna clusters, has been recently proposed to alleviate excessively high interconnect bandwidth, chip input/output data rates, and detection complexity for massive multi-user multiple-input multiple-output (MU-MIMO) systems. In this paper, we propose a novel decentralized Gaussian message passing (GMP) DBP architecture. Based on rule, each cluster iteratively calculated local...

Multiuser detection based on the expectation propagation (EP) algorithm for massive multiple-input multiple-output (M-MIMO) system has received considerable attention in recent years due to its good performance-complexity tradeoff. However, performance degrades when is highly overloaded. Furthermore, computational complexity increases fast as number of receive antennas increases. In this work, we propose an improved EP detector via channel sparsification approach, which shortened S-EP. The...

Massive multiple-input multiple-output (MIMO) system is capable of substantially improving the spectral efficiency as well capacity wireless networks relying on equipping a large number antenna elements at base stations. However, excessively high computational complexity signal detection in massive MIMO systems imposes significant challenge for practical hardware implementations. In this paper, we propose novel minimum mean square error (MMSE) using accelerated overrelaxation (AOR) iterative...

The cell-free concept has garnered great attention in the industry and academia is envisaged to be a promising technology for beyond fifth generation (5G) networks. However, extremely high front-haul computational overhead of original network with centralized or star topologies limits its practical adoption. In this work, we propose novel non-linear sequential detection method based on Gaussian message passing algorithm (GMP) topology, i.e., radio stripe network, which requires <italic...

The integration of unmanned aerial vehicles (UAV) and terahertz (THz) technology can provide high data rate for air-to-air (A2A) communications. In this paper, a non-stationary geometric sub-THz multiple-input multiple-output (MIMO) channel model is proposed UAV-A2A communications based on three-dimensional (3D) sphere model. To accurately describe the real A2A propagation environments, both scattering fading reflection rough surface in band are considered. Based model, space-time...

Minimum mean squared error (MMSE) detector achieves near-optimal rate performance for massive multiple-input multiple-output (M-MIMO) systems but involves large-scale matrix inversion operations with high complexity. Therefore, several approximated algorithms have been proposed. However, their convergence turns out to be very slow. In this paper, a new approach based on joint Jacobi and Richardson method is We show that the proposed accelerate at low-complexity different base station...

Decentralized baseband processing (DBP) architectures can alleviate the extremely high interconnect data rates and chip input/output (I/O) bandwidth bottlenecks of conventional centralized massive multiple-input multiple-output (M-MIMO) system. Nonetheless, fully decentralized (FD) detectors suffer significant performance loss compared with counterparts due to constrained information-sharing between antenna clusters, especially for systems a large number clusters and/or high-order...

Impulsive noise significantly deteriorates the performance of orthogonal frequency-division multiplexing (OFDM)-based underwater acoustic (UWA) communication systems. The pulse blanking (PB) based approach can mitigate impulsive noise. However, it causes inter-carrier interference (ICI) and signal attenuation to receiver. In this work, we first show that ICI introduces pronounced non-Gaussianity receiver chain leads significant degradation. We then propose a non-Gaussianity-aware iterative...

The integration of unmanned aerial vehicles (UAVs) and terahertz (THz) technology can provide high data rate for air-to-ground (A2G) communications. In this paper, a non-stationary geometric sub-THz multiple-input multiple-output (MIMO) channel model is proposed UAV A2G communication based on three-dimensional (3D) semi-spherical model. detailed modeling reflection fading scattering the rough surface in band considered. According to geometry-based stochastic (GBSM), space-time correlation...

Massive multiple-input multiple-output (MIMO) is one of the key technologies for fifth generation (5G) due to its high throughput and spectral efficiency. However, large-size antenna configurations in massive MIMO systems incur significantly complexity conventional linear precoding schemes like minimum mean square error (MMSE) associated high-dimensional matrix inversion operation. To solve issue, we propose utilize steepest descent (SD) algorithm realize MMSE operation deprived complex...

In this letter, we propose to utilize the expectation propagation (EP) framework for soft-input soft-output (SISO) signal detection in massive spatial modulation (SM) multiple-input multiple-output (MIMO) systems. By using a multivariate complex Gaussian approximation approach, symbol beliefs of transmitted vectors are constructed based on mean and covariance matrixes. The log-likelihood ratios (LLRs) antenna index bits computed by partitioning into different regions. Simulation results...

With the proliferation of emerging Internet Things (IoT) applications, massive multiuser multiple-input–multiple-output (MU-MIMO) is a promising technology to support connectivity requirement with limited spectral resources. The existing detection algorithms are mainly designed based on centralized baseband processing architecture, which requires extremely high raw data rates transferred between base-station antennas and central unit (CPU). Decentralized (DBP) architecture has recently been...

Sparse code multiple access (SCMA) is considered to be a promising technology of non-orthogonal (NOMA) for the fifth generation (5G) wireless communications. Due sparse property SCMA, message passing algorithm (MPA) can utilized at receiver realize quasi-maximum likelihood (QML) performance, but MPA detector with exponential complexity still difficult implement in practice. To tackle issue, expectation propagation (EPA) has been proposed achieve close-to-MPA detection it unsatisfactory...

The expectation propagation (EP) algorithm has received significant attention recently due to its good performance and manageable computational complexity for large-scale inference problems, such as detection massive multiple-input multiple-output (MIMO) systems. Its depends mainly on how messages are represented computation passing. In this letter, we propose a low-complexity EP based location-aware reliability-aware strategy, shortened LR-EP, efficiently implement the message At each...

Sparse code multiple access (SCMA) which is based on a non-linear spreading has received great attention due to its good overloading capability. The current SCMA codewords are non-constant modulus and thus may lead more stringent requirements than the constant ones. In this work, we proposed novel gradient descent method optimize codebooks with constraints. designed exhibits significantly larger minimum distance modulus, renders it attractive practical applications.

In this paper, we propose a joint signal detection algorithm under the framework of expectation propagation (EP) for uplink massive multiuser multiple-input multiple-output (MIMO) systems with generalized spatial modulation (GSM). By projecting discrete probability distribution into multivariate complex Gaussian function, symbol beliefs tridimensional GSM constellation are calculated via iterative mean vectors and covariance matrices. To reduce computational complexity, an efficient separate...