Receive Antenna Selection Research Articles

Receive Antenna Selection in Resource-Efficient Asymmetrical Massive MIMO IoT Networks by Exploiting Statistical CSI

Receive Antenna Selection in Resource-Efficient Asymmetrical Massive MIMO IoT Networks by Exploiting Statistical CSI

Joint Transmit and Receive Antenna Selection in MIMO-NOMA-Based Uplink Satellite Networks

Joint Transmit and Receive Antenna Selection in MIMO-NOMA-Based Uplink Satellite Networks

Outage performance analysis of antenna selection schemes in UAV-assisted networks

In this paper, we investigate the performance of various antenna selection (AS) techniques in an unmanned aerial vehicle (UAV)-assisted relay communication system, wherein a UAV is deployed as a flying relay to establish and sustain a communication link between source and destination nodes. The AS schemes under study encompass transmit antenna selection/maximal ratio combining (TAS/MRC), joint transmit and receive antenna selection (JTRAS), and maximum ratio transmission/receive antenna selection (MRT/RAS). We present a unified outage probability (OP) performance analysis of AS techniques in UAV relay networks. We initially derive a closed-form expression for the OP under Nakagami-m fading channels. Subsequently, an asymptotic expression elucidating the array and diversity gain is derived to offer deeper insights into the performance of the studied system. Finally, Monte Carlo simulations are conducted to validate the theoretical results.

FDA antenna selection for localizing targets

In this paper, we propose a joint transmit and receive antenna selection scheme for frequency diverse array (FDA) radar that aims at finding an optimal selection of employed FDA antennas, formed by minimizing the Cramér–Rao lower bound (CRLB) of the target localization problem given the available a priori knowledge of potential target locations. The resulting problem is a non-convex Boolean problem in which the objective function is a quadratic objective function with respect to the optimization variables. To allow for an efficient solution, an iterative relaxed algorithm is proposed, substantially simplifying the resulting minimization. Numerical simulations are provided to demonstrate the effectiveness of the proposed approach.

On the ergodic capacity of MIMO-NOMA systems with JTRAS protocol under imperfect SIC and CSI

ABSTRACT Antenna selection serves as an effective way of reducing complexity when dealing with multiple antennas, allowing for better signal transmission from a reduced number of antennas and thus increased system performance. In this paper, we derive a closed-form expression for the ergodic capacity (EC) of a multi-input multi-output non-orthogonal multiple access (MIMO-NOMA) network utilising joint transmit and receive antenna selection (JTRAS). We analyse the two-user and multi-user scenarios over Rayleigh fading channels with both imperfections: successful interference cancellation (SIC) and channel state information (CSI). To illustrate the gains of our proposed system, we compare its performance to that of its perfect counterpart. We observe that SIC and CSI imperfections have a significant impact on the performance of MIMO-NOMA networks. Furthermore, applying JTRAS to MIMO-NOMA also yields a higher sum EC than MIMO orthogonal multiple access (MIMO-OMA) with JTRAS. Finally, the close agreement between the analytical, asymptotic and simulation results validates the presented analysis.

Outage probability of NOMA systems with receive antenna selection in [formula omitted]-[formula omitted] fading channels

This article considers power-domain non-orthogonal multiple access (NOMA) for downlink communication systems that involve multiple users. The base station, equipped with a single transmit antenna, communicates simultaneously with multiple users, each equipped with a single receive antenna. The article examines the system’s outage probability (OP) performance in α−μ generalized fading channels. The article first derives the instantaneous signal-to-interference-and-noise ratio (SINR) and then obtains the OP expression for each user in a closed form. The derived expression for OP is general and includes special cases such as Nakagami-m, Weibull, Gamma, Rayleigh, and Exponential distributions. This α−μ expression helps quantify the improvement of the OP performance. In order to improve the OP performance, multiple antennas are included for the users, and then receive antenna selection (RAS) scheme is employed. Finally, the theoretical OP expressions are verified via Monte Carlo simulations.

Outage Analysis of Alamouti-NOMA Scheme for Hybrid Satellite–Terrestrial Relay Networks

In this article, we investigate the performance of hybrid satellite–terrestrial relay networks with multiuser downlink nonorthogonal multiple access. The satellite applies Alamouti space–time block coding, and users exploit a receive antenna selection technique. Communication between the satellite and users is assumed to be established with the aid of a half-duplex terrestrial relay equipped with multiple receive antennas and operating in amplify-and-forward mode, because of the heavy masking effects attributed to environmental obstacles. Subsequently, the satellite–relay link is exposed to shadowed-Rician fading, whereas the relay–users links undergo Nakagami- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula> fading, which is a generic statistical channel model for nonterrestrial networks. To be more practical, we consider imperfect successive interference cancellation. The exact outage probability of each user and the corresponding asymptotic expression at the high signal-to-noise ratio are derived to demonstrate the system performance. The analysis indicates that the shadowing conditions do not affect the array gain when the diversity order is dominated by the multiantenna configuration of the second hop. The theoretical derivations are validated by using Monte Carlo simulations. The numerical results indicate that the proposed scheme significantly improves the performance of each user under various shadowing conditions. It also outperforms orthogonal multiple access when proper power levels are allocated to users.

Deep learning based low complexity joint antenna selection scheme for MIMO vehicular adhoc networks

In this paper, we propose deep learning based transmit and receive antenna selection scheme for multiple-input-multiple-output vehicular adhoc networks (MIMO-VANETs). The dynamic nature of VANETs instills the need for regular updates in antenna selections, moreover massive computations involved for antenna selection due to changes in channel statistics results in large delay in message communication. The delay in antenna selection in case of conventional approaches can be reduced substantially by automating the redundant computations using deep learning approach. In this work norm-based low complexity joint transmit and receive antenna selection along with its implementation through convolution neural network has been proposed. The proposed supervised deep learning approach to select a group of antennas to enhance capacity and minimize delay has shown encouraging results in MIMO VANET scenario as compared to the conventional antenna selection scheme.

Receive antenna selection for MMSE signal detection in multiuser massive MIMO uplink

The problem of arbitrarily selecting only some of the antennas for signal reception in the multiuser massive multiple-input multiple-output (MIMO) uplink is examined. A binary quadratic program (BQP) based on maximizing the sum of signal-to-interference and noise ratio (SINR) is formulated to fulfill this task. It can then be relaxed to be convex and solved efficiently. Simulation results show that using the proposed antenna selection together with the minimum mean-squared error (MMSE) signal detection, if the number of receive antennas is reduced from N to N a , its error-rate performance can be better than that of the system originally equipped with N a receive antennas employing the same MMSE signal detection.

Joint Time Index Modulation and Receive Antenna Selection for RIS-Aided Communications

Joint Time Index Modulation and Receive Antenna Selection for RIS-Aided Communications

Joint Transmit-and-Receive Antenna Selection System for MIMO-NOMA With Energy Harvesting

In this paper, outage probability (OP) of a joint transmit and receive antenna selection (JTRAS) scheme is analyzed in multiple-input multiple-output non orthogonal multiple access based downlink energy harvesting (EH) relaying networks. In this dual-hop and amplify-and-forward relaying based network, since the first and second hops are types of single-user and multi-user systems, respectively, the optimal JTRAS and suboptimal majority-based JTRAS schemes are employed in the first and second hops. The theoretical OP analysis is carried out over Nakagami-m fading channels in the cases of perfect and imperfect successive interference cancellation. Finally, Monte Carlo simulations are performed to substantiate the accuracy of the theoretical analysis. It is shown that the optimal power splitting ratios at the EH relay are different for users and the users with good channel conditions have minimum optimal ratios.

Joint Transmit and Receive Antenna Selection for Spatial Modulation Systems Using Deep Learning

Importance of the signal reliability has started to increase in today’s communication technologies. One of the most important methods of increasing signal reliability for communication systems is the selection of antennas at the receiver, transmitter, or both. On the other hand, having low complexity, low processing times and high performance, deep learning (DL) based technologies have started to find a place in various fields such as communication, warehouse management, health services, image processing, and so on. In this letter, we first introduce the joint transmit and receive antenna selection (JTRAS) for spatial modulation (SM) systems, which, as far as we know, has not been studied in detail before, and second, we perform the DL algorithms for JTRAS instead of its exhaustive search.

Full-Duplex Buffer-Aided MIMO Relaying Networks: Joint Antenna Selection and Rate Allocation Based on Buffer Status

The in-band full-duplex buffer-aided relaying is a spectral-efficient technology for extending the range of reliable communication. In this context, we introduce a novel joint buffer-aware rate allocation and antenna selection algorithm to schedule the network transmissions. The closed-form expression for the average throughput of the network is derived under Nakagami-m fading environment. Through Monte-Carlo simulations, we demonstrate that our proposed buffer-aware approach significantly outperforms the conventional schemes with prefixed antenna allocation considering two benchmarks operating based on the receive-antenna-selection (RAS)/transmit antenna selection (TAS) and maximum-ratio-combining (MRC)/TAS. The overlapping results in the presented simulation examples corroborates our theoretical analysis.

Unified Performance Analysis of Antenna Selection Schemes for Cooperative MIMO-NOMA With Practical Impairments

This paper presents a unified outage probability (OP) performance analysis of two hybrid antenna selection (AS) schemes, transmit antenna selection (TAS) and maximal ratio combining (MRC), and joint transmit and receive antenna selection (JTRAS) in multiple-input multiple-output non-orthogonal multiple access based downlink amplify-and-forward (AF) relaying network with channel estimation error (CEE) and feedback delay (FD). Since the communications in the first and second hops are kinds of single-user and multi-user communications, respectively the AS is done as optimal TAS/MRC or JTRAS is applied in the first hop while the suboptimal majority-based TAS/MRC or JTRAS is employed in the second hop. For both TAS/MRC and JTRAS schemes, the OP expressions are derived in single closed-form over Nakagami- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${m}$ </tex-math></inline-formula> fading channels in the practical and ideal cases. Moreover, in the practical case, the lower bound OP expressions are found and at high signal-to-noise ratio (SNR) values, the OP reaches an error floor value, which means zero-diversity order. In the ideal case, asymptotic OP expressions are obtained in high SNR regime and demonstrate achievable non-zero diversity and array gains. Finally, through simulations and software-defined radio-based real-time tests, the accuracy of theoretical analysis is validated.

Joint Transmit and Receive Antenna Selection in Mimo Systems Based on Swarm Intelligence Algorithm

Multiple-input-multiple-output (MIMO) can provide superior performances such as system capacity, linkage, etc. But also it will bring high RF costs and system complexity, especially in large scale MIMO systems. Antenna selection (AS) is proved to be a trade-off between good performances and complexity. Specifically, from the perspective of both transmit and receive antennas, the joint transmit and receive antenna selection (JTRAS) is employed in MIMO systems. Up to now, some algorithms of JTRAS have been studied in MIMO systems. However, most of them are mainly focused on just one aspect about accuracy or complexity. Especially, compared to numerical analysis, the implementation of swarm intelligence algorithm in JTRAS needs to be studied extensively. In the paper, three intelligent algorithms, i.e. genetic algorithm, cat swarm algorithm and particle swarm algorithm are studied and compared in terms of accuracy, cost, and complexity. In addition, fractional coding is proposed in the algorithms instead of binary integer coding. The simulation results demonstrate that all three algorithms can efficiently accomplish the antenna selection. PSO has the best accuracy and stability, but the complexity of PSO is also highest. If we take overall performances in consideration, CSO is the best choice especially in practical implementation. Moreover, fractional coding will provide better performance than binary integer coding.

Novel Receive Antenna Selection Scheme for Precoding-Aided Spatial Modulation with Lattice Reduction.

In this paper, a new receive antenna subset (RAS) selection scheme is proposed for precoding-aided spatial modulation (PSM). First, a lattice reduction (LR)-based precoder is employed instead of a conventional zero-forcing (ZF) precoder. It is analytically shown that a full diversity gain can be achieved by the LR-based ZF precoder without RAS selection. Then, an optimal LR-based RAS selection criterion is derived for the over-determined LR-based PSM systems, and a suboptimal selection algorithm is additionally presented. It is also shown that optimal and suboptimal RAS selection algorithms based on LR improve the BER performance of the LR-based PSM system. Further, the overall diversity order of the over-determined LR-based PSM systems with optimal LR-based RAS selection is analyzed. Finally, diversity analysis and simulation results show that the LR-ZF-based PSM system with optimal LR-based RAS selection outperforms the conventional ZF-based PSM system with conventional optimal RAS selection.

Analysis the efficiency of multi-input-multi-output (MIMO) transmit receive systems

Transmit antennas are chosen in multi-input-multi-output (MIMO) systems. Effective in improving system capacity while lowering RF connection costs and simplifying the system. Complete method with greatest accuracy for joint transmits and receive antenna selection (JTRAS), capable of scanning all subsets of both transmitting and receiving antennas for the optimal solution. However, when as the number of antennas but also computational complexity increase grows too great, limiting its application. Antennas are coded fractionally channel capacity maximizing coding is used as a basic criterion in this paper, and an intelligent algorithm Particle swarm algorithm, generic algorithm are used to pick antennas. The simulation results show that both algorithms are capable of performing antenna selection.

Performance analysis of antenna selection scheme in dual-hop NOMA HD and FD energy harvesting relay networks

In this paper, the outage probability (OP) performance of antenna selection schemes is investigated in downlink non-orthogonal multiple access based energy harvesting amplify-and-forward relay network. In this network, base station with multiple antennas simultaneously communicates with multiple-antenna users via the relay, which is equipped with single transmit and multiple receive antennas and operates in half-duplex (HD) or full-duplex (FD) mode. The joint transmit-receive antenna selection and receive antenna selection schemes are employed in the first and second hops, respectively. For the proposed system, the closed-form expressions for the exact OP are derived jointly for HD and FD modes over Nakagami-m fading. Then, the corresponding asymptotic OP expressions are obtained. Finally, accuracy of our analyses is verified by simulations.

Underlay Cognitive Radio With Instantaneous Interference Constraint: A Secrecy Performance

We examine the secrecy performance of the receive antenna selection scheme in interference-limited underlay cognitive radio network (CRN) where the antenna that results in the highest signal-to-interference ratio at the secondary receiver is chosen to improve the secrecy performance of the secondary transmission. Exact and asymptotic expressions for the secrecy outage probability and intercept probability are derived for an interference-limited scenario over a general fading scenario with the assumption that the channel state information (CSI) on the secondary transmitter (ST)- primary receiver (PR) channel is perfect. However, CSI on the ST-PR channel may be outdated due to the time-varying properties or feedback latency from the PU. If the ST allocates transmission power using this outdated CSI, PR's interference constraint will not be satisfied. Therefore, we investigate the impact of outdated CSI on the secrecy performance of an interference-limited CRN when interference from the primary transmitter to SU exits under peak interference power constraint.

Analysis of Antenna Selection in Two-way Relaying MIMO Systems with CPM Modulation

Up to now, many state-of-arts have been proposed for two-way relaying system with linear modulations. The performances of antenna selection (AS) at both transmit and relay nodes need to be investigated in some two-way relaying multiple-input multiple-output (TWRM) systems. In this paper, the goal is focused on the study of nonlinear modulations, i.e., continuous phase modulation (CPM) in TWRM systems. Firstly, the joint phase trellis are simplified by reversed Rimoldi processing so as to reduce the systems’ complexity. Then the performances of joint transmit and receive antenna selection (JTRAS) with CPM modulations in two-way relaying MIMO systems are analyzed. More exactly, the pair wise probability (PEP) is used to evaluate the error performance based on the CPM signal matrix, which is calculated in terms of Laurent expression. Since the channels subject to two terminal nodes share common antennas at relay node R in multiple-access scheme, we revise the JTRAS algorithm and compare it to existing algorithm via simulation. Finally, the error performances for various schemes of antenna selection are simulated and compared to the analysis in this paper.