scholarly journals Ergodic Capacity of NOMA-Based Multi-Antenna LMS Systems with Imperfect Limitations

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 330
Author(s):  
Haifeng Shuai ◽  
Rui Liu ◽  
Shibing Zhu ◽  
Changqing Li ◽  
Yi Fang
Keyword(s):  
Interference Cancellation ◽  
Large Scale ◽  
Rapid Development ◽  
Ergodic Capacity ◽  
Spectrum Efficiency ◽  
Closed Form Expression ◽  
Estimation Errors ◽  
Channel Estimation Errors ◽  
Mobile Satellite

With the rapid development of land mobile satellite (LMS) systems, large scale sensors and devices are willing to request wireless services, which is a challenge to the quality of service requirement and spectrum resources utilization on onboard LMS systems. Under this situation, the non-orthogonal multiple access (NOMA) is regarded as a promising technology for improving spectrum efficiency of LMS systems. In this paper, we analyze the ergodic capacity (EC) of NOMA-based multi-antenna LMS systems in the presence of imperfect limitations, i.e., channel estimation errors, imperfect successive interference cancellation, and co-channel interference. By considering multiple antennas at the satellite and terrestrial sensor users, the closed-form expression for EC of the NOMA-based LMS systems with imperfect limitations is obtained. Monte Carlo simulations are provided to verify theoretical results and reveal the influence of key parameters on system performance.

scholarly journals An Improved Multicell MMSE Channel Estimation in a Massive MIMO System

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Ke Li ◽  
Xiaoqin Song ◽  
M. Omair Ahmad ◽  
M. N. S. Swamy
Keyword(s):  
Channel Estimation ◽  
Interference Cancellation ◽  
Massive Mimo ◽  
Large Scale ◽  
Mimo System ◽  
Computational Cost ◽  
Spectrum Efficiency ◽  
Performance Simulation ◽  
Estimation Scheme ◽  
Joint Channel

Massive MIMO is a promising technology to improve both the spectrum efficiency and the energy efficiency. The key problem that impacts the throughput of a massive MIMO system is the pilot contamination due to the nonorthogonality of the pilot sequences in different cells. Conventional channel estimation schemes cannot mitigate this problem effectively, and the computational complexity is increasingly becoming larger in views of the large number of antennas employed in a massive MIMO system. Furthermore, the channel estimation is always carried out with some ideal assumptions such as the complete knowledge of large-scale fading. In this paper, a new channel estimation scheme is proposed by utilizing interference cancellation and joint processing. Highly interfering users in neighboring cells are identified based on the estimation of large-scale fading and then included in the joint channel processing; this achieves a compromise between the effectiveness and efficiency of the channel estimation at a reasonable computational cost, and leads to an improvement in the overall system performance. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.

Task Scheduling of Cloud Computing in Weapon Network System

2014 ◽  
Vol 610 ◽  
pp. 695-698
Author(s):  
Qian Tao ◽  
Bo Pan ◽  
Wen Quan Cui
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Evaluation System ◽  
Large Scale ◽  
Rapid Development ◽  
It Industry ◽  
Control Scheme ◽  
Tasks Scheduling ◽  
Constant Bandwidth

In recent years, the rapid development of cloud computing brings significant innovation in the whole IT industry. For the local tasks scheduling on each computational node of the top model of weapon network, an open task scheduling framework was introduced a task accept control scheme based on the tasks based on load balancing, quality of service (QoS) and an improved constant bandwidth server algorithm was presented. The result of simulation shows that the scheduling policies can improve the schedule speed when the number of tasks increases and can meet the demand better for the real time requirementsof the tactical training evaluation system for complexity and Large-scale.

Antarctica and environmental change: closing remarks

1992 ◽  
Vol 338 (1285) ◽  
pp. 329-334
Keyword(s):  
Data Collection ◽  
Numerical Modelling ◽  
Large Scale ◽  
Rapid Development ◽  
Polar Regions ◽  
Data Collection And Analysis ◽  
The Difference ◽  
Improved Technology ◽  
The Antarctic

The purpose of this contribution is to summarize the papers and discussions, to bring out the highlights, and to focus on outstanding problems and uncertainties. Sixteen years ago Sir Vivian Fuchs and I organized a similar meeting on research in the Antarctic. Since then there has been an explosion of interest in all branches of environm ental science in this region. There have been major advances in theory, and improved technology made possible by the rapid development of electronics has made data collection and analysis easier; but above all the difference between the two meetings is in the development of large-scale numerical modelling as a tool. Also there has been an increasing realization of the value of comparisons between the two polar regions, which is brought out by the contributions to this meeting. The meeting has been distinguished by the quality of the science, the clarity of exposition and excellent visual presentations. It is also striking how much crossfertilization between disciplines has occurred

Uplink Power-Domain Non-Orthogonal Multiple Access (NOMA)

2020 ◽  
Vol 12 (4) ◽  
pp. 65-73
Author(s):  
Faeik T. Al Rabee ◽  
Richard D. Gitlin
Keyword(s):  
Channel Estimation ◽  
Interference Cancellation ◽  
Multiple Access ◽  
Signal To Noise Ratio ◽  
Estimation Error ◽  
Channel Estimation Error ◽  
Estimation Errors ◽  
Channel Estimation Errors ◽  
Fifth Generation ◽  
Power Domain

Non-orthogonal multiple access (NOMA) has been proposed as a promising multiple access (MA) technique in order to meet the requirements for fifth generation (5G) communications and to enhance the performance in internet of things (IoT) networks by enabling massive connectivity, high throughput, and low latency. This paper investigates the bit error rate (BER) performance of two-user uplink power-domain NOMA with a successive interference cancellation (SIC) receiver and taking into account channel estimation errors. The analysis considers two scenarios: perfect (ideal) channel estimation and a channel with estimation errors for various modulations schemes, BPSK, QPSK, and 16-QAM. The simulation results show that, as expected, increasing of the modulation level increases the SIC receiver BER. For example, at a signal-to-noise ratio (SNR) of 5 dB for perfect channel estimation and QPSK modulation, the user that is detected first has a BER of 0.005 compared to 0.14 for the user that is detected with the aid of the SIC receiver. Similarly, the BER of QPSK, assuming 0.25 channel estimation error of user 1, is equal to 0.06 at SNR = 15 dB compared to 0.017 for perfect estimation.

A Large-Scale Device Collaboration Resource Selection Method with Multi-QoS Constraint Supported

2010 ◽  
Vol 143-144 ◽  
pp. 894-898
Author(s):  
Xiao Hui Rong ◽  
Pan Deng ◽  
Feng Chen
Keyword(s):  
Resource Selection ◽  
Large Scale ◽  
Rapid Development ◽  
Prototype System ◽  
Model Composite ◽  
Performance Requirements ◽  
System A ◽  
Relation Model ◽  
The Internet Of Things

With the rapid development of the “Internet of Things” and large-scale area management, device collaboration has developed to the stage of large-scale device collaboration. Aiming at the large-scale, dynamics and real-time of the large-scale device collaboration system, in order to ensure the performance of the large-scale device collaboration system, a Quality of Service(QoS) model of large-scale device collaboration is proposed, which contains device QoS model, composite QoS model and QoS relation model. Based on the model, an algorithm of the resource selection in large-scale device collaboration system is presented. Finally, the result of simulation experiments on the large-scale device collaboration prototype system shows that the method can satisfy the performance requirements of the large-scale device collaboration system.

scholarly journals UAV-Enabled Cooperative NOMA with Indoor- Outdoor User-Paring and SWIPT in kappa-mu Channels

2021 ◽  
Author(s):  
Arafat Al-Dweik ◽  
Adel S. A. Alqahtani ◽  
Emad Alsusa
Keyword(s):  
Interference Cancellation ◽  
Performance Metrics ◽  
Ergodic Capacity ◽  
Power Splitting ◽  
Decode And Forward ◽  
Splitting Factor ◽  
Aerial Vehicle ◽  
The Individual ◽  
Generalized Fading Model

<div>This work presents a performance analysis on cooperative non-orthogonal multiple accesses (C-NOMA) when assisted with energy harvesting enabled unmanned aerial vehicle (UAV) decode-and-forward (DF) relaying. In particular, two scenarios are considered, an outdoor-indoor one, where the NOMA signal propagates through outdoor-to-indoor, and a conventional outdoor scenario where the channel gains follow a k-u generalized fading model. The objectives of this work is to analyze the downlink performance of this C-NOMA system and derive closed-form expressions for the outage probability (OP), ergodic capacity (EC), throughput and energy efficiency (EE) for the users assuming imperfect successive interference cancellation (SIC). In particular, the OP approach considers the individual users’ rate where it is required to satisfy certain quality of service (QoS) requirements. The results provide insights into the considered performance metrics relative to key parameters such as power allocation, power splitting factor, fading parameters, and residual interference. Extensive simulations results are presented to validate the accuracy of the derived expressions.</div>

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