scholarly journals Wireless-Powered Cooperative MIMO NOMA Networks: Design and Performance Improvement for Cell-Edge Users

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 328 ◽  
Author(s):  
Chi-Bao Le ◽  
Dinh-Thuan Do ◽  
Miroslav Voznak
Keyword(s):  
Performance Improvement ◽  
Antenna Selection ◽  
Multiple Antennas ◽  
Base Station ◽  
Transmit Antenna Selection ◽  
Cell Edge ◽  
Single Antenna ◽  
And Performance ◽  
Quality Of Transmission

In this paper, we study two transmission scenarios for the base station (BS) in cellular networks to serve the far user, who is located at the cell-edge area in such a network. In particular, we show that wireless-powered non-orthogonal multiple access (NOMA) and the cell-center user in such a model can harvest energy from the BS. To overcome disadvantages of the cell-edge user due to its weak received signal, we fabricate a far NOMA user with multiple antennas to achieve performance improvement. In addition, the first scenario only considers a relay link deployed to forward signals to a far NOMA user, while both direct links and relay links are generally enabled to serve a far user in the second scenario. These situations, together with their outage performance, are analyzed and compared to provide insights in the design of a real-multiple-antenna NOMA network, in which the BS is also required to equip multiple antennas for robust quality of transmission. Higher complexity in computations is already known in consideration of outage metrics with respect to performance analysis, since the system model employs multiple antennas. To this end, we employ a transmit antenna selection (TAS) policy to formulate closed-form expressions of outage probability that satisfies the quality-of-service (QoS) requirements in the NOMA network. Our simulation results reveal that the performance of the considered system will be improved in cases of higher quantity of transmit antennas in dedicated devices. Finally, the proposed design in such a NOMA system cannot only ensure a downlink with higher quality to serve a far NOMA user, but also provide significant system performance improvement compared to a traditional NOMA networks using a single antenna.

scholarly journals Robust Transmit Antenna Design for Performance Improvement of Cell-Edge Users: Approach of NOMA and Outage/Ergodic Capacity Analysis

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4907 ◽  
Author(s):  
Dinh-Thuan Do ◽  
Chi-Bao Le ◽  
Byung Moo Lee
Keyword(s):  
Closed Form ◽  
Performance Improvement ◽  
Antenna Selection ◽  
Access Point ◽  
Ergodic Capacity ◽  
Base Station ◽  
Base Stations ◽  
Closed Form Expression ◽  
Transmit Antenna Selection ◽  
Outage Performance

In this investigation, a wireless sensor network using a non-orthogonal multiple access (NOMA) system is considered in two scenarios related to the number of serving access point/base stations, where two policies provide system performance improvement in two sensors (the near user and the far user). To improve performance efficiency, two robust transmit antenna strategies are designed related to the access point/base station (BS), namely (i) Transmit Antenna Selection (TAS) mode and (ii) two base station (TBS) approach to simultaneously serve NOMA users. First, the TAS scheme is implemented to provide suboptimal outage performance for such NOMA, in which BS equipped at least two antennas while NOMA users are equippeda single antenna. Secondly, the TBS scheme is conducted to enhance the outage performance, especially considering priority evaluation for the far user in user pairs. As an important result, such far users in two proposed schemes are studied by introducing the exact closed-form expression to examine outage behavior. Accordingly, the closed-form expressions regarding ergodic capacity can be further obtained. To corroborate the exactness of these metrics, Monte Carlo simulation is performed. In addition, the proposed schemes exhibit various performance evaluations accompanied by different related parameters such as power allocation factors, the number of transmit antenna, and transmit signal-to-noise ratio (SNR).

scholarly journals Enhanced Transmit-Antenna Selection Schemes for Multiuser Massive MIMO Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Byung-Jin Lee ◽  
Sang-Lim Ju ◽  
Nam-il Kim ◽  
Kyung-Seok Kim
Keyword(s):  
Computational Complexity ◽  
Radio Frequency ◽  
Spectral Efficiency ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Base Station ◽  
Base Stations ◽  
Transmit Antenna Selection ◽  
Selection Scheme

Massive multiple-input multiple-output (MIMO) systems are a core technology designed to achieve the performance objectives defined for 5G wireless communications. They achieve high spectral efficiency, reliability, and diversity gain. However, the many radio frequency chains required in base stations equipped with a high number of transmit antennas imply high hardware costs and computational complexity. Therefore, in this paper, we investigate the use of a transmit-antenna selection scheme, with which the number of required radio frequency chains in the base station can be reduced. This paper proposes two efficient transmit-antenna selection (TAS) schemes designed to consider a trade-off between performance and computational complexity in massive MIMO systems. The spectral efficiency and computational complexity of the proposed schemes are analyzed and compared with existing TAS schemes, showing that the proposed algorithms increase the TAS performance and can be used in practical systems. Additionally, the obtained results enable a better understanding of how TAS affects massive MIMO systems.

scholarly journals Quality of Care and Performance Improvement: Two Ideas that Go Hand-in-Hand

2004 ◽  
Vol 65 (5) ◽  
pp. 298-300
Author(s):  
Noel B. McDevitt ◽  
William A. Walker ◽  
Gordon H. DeFriese
Keyword(s):  
Quality Of Care ◽  
Performance Improvement ◽  
And Performance

scholarly journals Rate-Splitting Multiple Access for Intelligent Reflecting Surface aided Multi-User Communications

2021 ◽  
Author(s):  
Ankur Bansal ◽  
Keshav Singh ◽  
Bruno Clerckx ◽  
Chih-Peng Li ◽  
Mohamed-Slim Alouini
Keyword(s):  
Interference Cancellation ◽  
Multiple Access ◽  
Base Station ◽  
Control Technique ◽  
Decode And Forward ◽  
Cell Edge ◽  
Single Antenna ◽  
Rate Splitting ◽  
Reflecting Surface ◽  
The Impact

Intelligent reflecting surface (IRS) has recently emerged as a promising technology for 6G wireless systems, due to its capability to reconfigure the wireless propagation environment. In this paper, we investigate a Rate-Splitting Multiple Access (RSMA) for IRS-assisted downlink system, where the base station (BS) communicates with single-antenna users with the help of an IRS. RSMA relies on rate-splitting (RS) at the BS and successive interference cancellation (SIC) at the users and provides a generalized multiple access framework. We derive a new architecture called IRS-RS that leverages the interplay between RS and IRS. For performance analysis, we utilize an \textit{on-off control technique} to control the passive beamforming vector of the IRS-RS and derive the closed-form expressions for outage probability of cell-edge users and near users. Moreover, we also analyze the outage behavior of cell-edge users for a sufficiently large number of reflecting elements. Additionally, we also analyze the outage performance of cooperative RS based decode-and-forward (DF)-assisted framework called DF-RS. Through simulation results, it is shown that the proposed framework outperforms the corresponding DF-RS, RS without IRS and IRS-assisted conventional non-orthogonal multiple access (NOMA) schemes. Furthermore, the impact of various system's parameters such as the number of IRS reflecting elements and the number of users on the system performance is revealed.

scholarly journals HUBUNGAN KWALITAS SUMBER DAYA MANUSIA DAN SISTEM INFORMASI TERHADAP PENINGKATAN KINERJA MELALUI PELATIHAN DAN MOTIVASI KERJA PEGAWAI DI LINGKUNGAN PEMERINTAH KOTA BATU

2020 ◽  
Vol 4 (1) ◽  
pp. 72
Author(s):  
Luqman Almalani
Keyword(s):  
Information System ◽  
Human Resources ◽  
Performance Improvement ◽  
Work Motivation ◽  
Employee Performance ◽  
City Government ◽  
City Environment ◽  
And Performance ◽  
And Training

Tujuan penelitian ini adalah: untuk menganalisis pengaruh Kwalitas Sumber Daya Manusia dan sistem informasi terhadap peningkatan kinerja melalui pelatihan dan motivasi kerja pegawai di lingkungan pemerintah Kota Batu. Sampel yang digunakan dalam penelitian ini adalah Pegawai di Lingkungan Balaikota Among Kota Batu yang berjumlah 2500 orang dengan metode penyebaran kuisioner. Hasil penelitian ini menunjukkan bahwa 1) Apakah ada hubungan antara kwalitas Sumber Daya Manusia dengan Pelatihan. 2)Apakah ada hubungan antara Pelatihan yang diadakan di Kota Batu dengan motivasi kerja Pegawai di Lingkungan Balaikota Among Tani Kota Batu 3).Apakah ada hubungan antara Motivasi kerja dengan peningkatkan Kinerja 4).Apakah ada hubungan antara Kwalitas Sumber Daya Manusia dengan peningkatan Kinerja di Pemerintahan. 5).Apakah ada hubungan Sistem Informasi yang dikembangkan di Pemerintah Kota Batu dengan peningkatkan Kinerja Pegawai dan 6).Apakah ada hubungan Sistem Informasi dengan Pelatihan.Kata Kunci: Kwalitas SDM, Sistem Informasi,Peningkatan Kinerja,Pealatihan,dan Motivasi kerja The purpose of this study is to analyze the effect of Quality of Human Resources and information systems on performance improvement through training and motivation of employee work within Batu City government. The sample used in this study were employees in Balai Kota Among Tani Batu City which numbered 2500 people with the method of distributing questionnaires. The results of this study explore about 1) Relationship between the quality of Human Resources and Training 2) Relationship between the Training held with the Employees work motivation in the Balai Kota Among Tani Batu City Environment. 3). Relationship between work motivation and Performance Improvement. 4). Relationship between the Quality of Human Resources and Performance improvement in Government. 5). Connection to the Information System developed in Batu City Government by increasing Employee Performance and 6). Connection between Information System with Training.Keywords: HR Quality, Information System, Performance Improvement, Training, and Work Motivation

scholarly journals Transmit Antenna Optimization in Massive MIMO Technology with EE, SE Trade off

2019 ◽  
Vol 9 (1) ◽  
pp. 1926-1929
Keyword(s):  
Data Transmission ◽  
Massive Mimo ◽  
Search Algorithm ◽  
Antenna Selection ◽  
Gravitational Search Algorithm ◽  
Base Station ◽  
Transmit Antenna Selection ◽  
Transmission Rates ◽  
High Data ◽  
Mimo Technology

Massive MIMO Technology showed its unique characteristics and capabilities for future wireless communications where high data transmission rates are desired for fast growing 5G applications. High data transmission rates need more number of antennas at base station which comprised of increased system complexity and hardware cost. A proven method for reducing number of RF (radio frequency) chains at base station is Transmit Antenna Selection algorithm. In this paper an effective approach for TAS and optimizing the number of antennas at base station for desired data rates have been proposed and a Tradeoff between SE (Spectral Efficiency), EE (energy Efficiency) are discussed. MVGSA (modified velocity Gravitational Search algorithm) discussed for optimization of Transmit Antennas along with Improved SE and EE other effective algorithms are compared with multi objectives and data transmission rates. MVGSA proved with Improved SE and EE with Effective TAS.

scholarly journals Rateless Codes-Based Secure Communication Employing Transmit Antenna Selection and Harvest-To-Jam under Joint Effect of Interference and Hardware Impairments

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 700 ◽  
Author(s):  
Phu Tran Tin ◽  
Tan Nguyen ◽  
Nguyen Sang ◽  
Tran Trung Duy ◽  
Phuong Tran ◽  
...  
Keyword(s):  
Data Transmission ◽  
Secure Communication ◽  
Antenna Selection ◽  
Original Data ◽  
Joint Effect ◽  
Rateless Codes ◽  
Transmit Antenna Selection ◽  
Hardware Impairments ◽  
Intercept Probability

In this paper, we propose a rateless codes-based communication protocol to provide security for wireless systems. In the proposed protocol, a source uses the transmit antenna selection (TAS) technique to transmit Fountain-encoded packets to a destination in presence of an eavesdropper. Moreover, a cooperative jammer node harvests energy from radio frequency (RF) signals of the source and the interference sources to generate jamming noises on the eavesdropper. The data transmission terminates as soon as the destination can receive a sufficient number of the encoded packets for decoding the original data of the source. To obtain secure communication, the destination must receive sufficient encoded packets before the eavesdropper. The combination of the TAS and harvest-to-jam techniques obtains the security and efficient energy via reducing the number of the data transmission, increasing the quality of the data channel, decreasing the quality of the eavesdropping channel, and supporting the energy for the jammer. The main contribution of this paper is to derive exact closed-form expressions of outage probability (OP), probability of successful and secure communication (SS), intercept probability (IP) and average number of time slots used by the source over Rayleigh fading channel under the joint impact of co-channel interference and hardware impairments. Then, Monte Carlo simulations are presented to verify the theoretical results.

scholarly journals Transmit and Receive Antenna Selection Based Resource Allocation for Self-Backhaul 5G Massive MIMO HetNets

2021 ◽  
Author(s):  
Farah Akif ◽  
Aqdas Malik ◽  
Ijaz Qureshi ◽  
Ayesha Abassi
Keyword(s):  
Network Performance ◽  
Service Providers ◽  
Antenna Selection ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Base Stations ◽  
Small Cells ◽  
User Association ◽  
Transmit Antenna Selection ◽  
Coverage Area

With the advancement in wireless communication technology, the ease of accessibility and increasing coverage area is a major challenge for service providers. Network densification through Small cell Base Stations (SBS) integration in Heterogeneous Networks (HetNets) promises to improve network performance for cell edge users. Since providing wired backhaul for small cells is not cost effective or practical, the third-Generation Partnership Project (3GPP) has developed architecture for self-backhaul known as Integrated Access and Backhaul (IAB) for Fifth Generation (5G). This allows for Main Base Station (MBS) resources to be shared between SBS and MBS users. However, fair and efficient division of MBS resources remains a problem to be addressed. We develop a novel transmit antenna selection/partitioning technique for taking advantage of IAB 5G standard for Massive Multiple Input Multiple Output (MIMO) HetNets. Transmit antenna resources are divided among access for MBS users and for providing wireless backhaul for SBS. We develop A Genetic Algorithm (GA) based Transmit Antenna Selection (TAS) scheme and compare with random selection, eigenvalue-based selection and bandwidth portioning. Our analysis show that GA based TAS has the ability to converge to an optimum antenna subset providing better rate coverage. Furthermore, we also signify the performance of TAS based partitioning over bandwidth partitioning and also show user association can also be controlled using number of antennas reserved for access or backhaul.

A Comparison of Norm Based Antenna Selection and Random Antenna Selection with Regard to Energy Efficiency in Wireless System with Large Number of Users

2020 ◽  
Vol 10 (2) ◽  
pp. 189-196
Author(s):  
Ashu Taneja ◽  
Nitin Saluja
Keyword(s):  
Energy Efficiency ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Transmit Antenna Selection ◽  
Wireless System ◽  
Multiple Input ◽  
Input Multiple Output

Background: The paper considers the wireless system with large number of users (more than 50 users) and each user is assigned large number of antennas (around 200) at the Base Station (BS). Objective: The challenges associated with the defined system are increased power consumption and high complexity of associated circuitry. The antenna selection is introduced to combat these problems while the usage of linear precoding reduces computational complexity. The literature suggests number of antenna selection techniques based on statistical properties of signal. However, each antenna selection technique suits well to specific number of users. Methods: In this paper, the random antenna selection is compared with norm-based antenna selection. It is analysed that the random antenna selection leads to inefficient spectral efficiency if the number of users are more than 50 in Multi-User Multiple-Input Multiple Output (MU-MIMO) system. Results: The paper proposes the optimization of Energy-Efficiency (EE) with random transmit antenna selection for large number of users in MU-MIMO systems. Conclusion: Also the computation leads to optimization of number of transmit antennas at the BS for energy efficiency. The proposed algorithm results in improvement of the energy efficiency by 27% for more than 50 users.

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