scholarly journals Low Power Allocation Based Error Improvements in wireless 5G

2019 ◽  
Vol 8 (4) ◽  
pp. 11049-11052
Keyword(s):  
Multiple Access ◽  
Antenna Selection ◽  
Base Station ◽  
Time Varying ◽  
Transmit Antenna Selection ◽  
User Experiences ◽  
Common Technique ◽  
Sum Rate ◽  
Simulation Results ◽  
Time Varying Channel

Transmit antenna selection is very common technique to reduce system complexity and power consumption at transmitter side while maintaining nearly the same performance of multiple antennas. In this paper, we introduce a transmit antenna selection (TAS) scheme for non orthogonal multiple access (NOMA) to improve the performance in terms of total sum rate. Therefore different antenna elements added at the base station experiences different fading conditions (A channel is a time varying channel).Experiences different SNR values adding more number of antennas at the base station. Increases the complaxicity as well as the performance with respect to the sum rate Non linear the user experiences the Bit error rate at the receiver simulation results shows that the BER is verified for different antenna error consideration (MIMO).

scholarly journals Ergodic sum rate of transmitting antenna selection in non-orthogonal multiple access for modern systems

2018 ◽  
Vol 7 (3.29) ◽  
pp. 61
Author(s):  
M Ravi Sankar ◽  
Dr K. V. Satyanarayana
Keyword(s):  
High Throughput ◽  
Multiple Access ◽  
Antenna Selection ◽  
Multiple Antennas ◽  
High Capacity ◽  
Wireless Systems ◽  
Base Station ◽  
Single Base ◽  
Sum Rate ◽  
Transmitting Antenna

Wireless systems hiring multiple antennas at the transmitter side used for the transmission of the high capacity information through the channels making the system more complex and costlier. To overcome these problems, the multiple antennas at the transmitter side must be reduced and the performance should retained with reduced antennas as earlier. This can be achieved by using the algorithm Transmitting Antenna Selection (TAS) which is carried out by considering the transmission of the information through the channels using the Non-Orthogonal Multiple Access (NOMA). The NOMA algorithm is used to provide the high throughput using the heterogeneous demands in which there is no interference between the transmitted signals from the multiple antennas equipped in a single base station. TAS-NOMA algorithm is proposed in this paper for selecting the best transmitting antenna out of multiple antennas equipped in the base station by using the Ergodic sum rate which is measured at the transmitter side considering the average of the channels capacity.  

scholarly journals Transmit Antenna Selection Schemes for NOMA with Randomly Moving Interferers in Interference-Limited Environment

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 36
Author(s):  
Dinh-Thuan Do ◽  
Thanh-Luan Nguyen ◽  
Byung Moo Lee
Keyword(s):  
Stochastic Geometry ◽  
Multiple Access ◽  
Poisson Point Process ◽  
Antenna Selection ◽  
Ergodic Capacity ◽  
Base Station ◽  
Selection Strategy ◽  
Practical Consideration ◽  
Transmit Antenna Selection ◽  
Spatial Topology

In this paper, non-orthogonal multiple access (NOMA) is studied at downlink under impact of surrounding interference. This study benefits the practical NOMA system since spatially random interference is adopted. More specifically, we consider the antenna selection strategy applied at the base station and compare the performance of two users. By applying a stochastic geometry-based model, homogeneous Poisson point process (PPP) is employed to consider the spatial topology of interference which is located near to users, and such a model is extremely suitable for practical consideration. We first consider outage probability and then ergodic capacity is examined as main metrics to recommend such model in practice. According to the considered antenna section scheme of the base station, we compare these schemes related to selected antenna serving each user. To confirm exactness of derived expressions, we perform Monte Carlo simulations to verify the analytical results.

scholarly journals Exploiting Joint Base Station Equipped Multiple Antenna and Full-Duplex D2D Users in Power Domain Division Based Multiple Access Networks

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2475 ◽  
Author(s):  
Dinh-Thuan Do ◽  
Minh-Sang Van Nguyen ◽  
Thi-Anh Hoang ◽  
Byung Moo Lee
Keyword(s):  
Multiple Access ◽  
Antenna Selection ◽  
Base Station ◽  
Base Stations ◽  
Full Duplex ◽  
Mobile Users ◽  
Multiple Antenna ◽  
Transmit Antenna Selection ◽  
Single Output ◽  
Power Domain

In this paper, we investigate power domain division-based multiple access (PDMA) to support the base stations (BS) equipped with multiple antennas to serve mobile users. Such a system deploys multiple input single output (MISO)-based wireless transmission and a full-duplex (FD) scheme. Furthermore, such MISO PDMA system consists of BS employing transmit antenna selection to reduce complexity in signal processing at the receivers. We distinguish two kinds of mobile users, device-to-device (D2D) users and traditional users. In such MISO PDMA, there exists a trade-off between outage performance of each PDMA user and power allocation factors. Since the implementation of the FD scheme at PDMA users, bandwidth efficiency will be enhanced despite the existence of self-interference related to such FD. In particular, exact expressions of outage probability are derived to exhibit system performance with respect to D2D users. Finally, valuable results from the simulated parameters together with the analytical results show that MISO PDMA can improve its performance by increasing the number of transmit antennas at the BS.

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 Ambient BackCom in Beyond 5G NOMA Networks: A Multi-Cell Resource Allocation Framework

2021 ◽  
Author(s):  
Wali Ullah Khan ◽  
Kapal Dev ◽  
Muhammad Awais Javed ◽  
Dinh-Thuan Do ◽  
Nawab Muhammad Faseeh Qureshi ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Multiple Access ◽  
Optimization Problem ◽  
Original Problem ◽  
Base Station ◽  
Joint Optimization ◽  
Theory Approach ◽  
Closed Form Solutions ◽  
Cell Network ◽  
Sum Rate

This article proposes a new resource allocation framework that uses the dual theory approach. Specifically, the sum-rate of the multi-cell network having backscatter tags and NOMA user equipments is maximized by formulating a joint optimization problem. To find the efficient base station transmit power and backscatter reflection coefficient in each cell, the original problem is first divided into two subproblems and then derived the closed-form solutions. A comparison with the orthogonal multiple access (OMA) ambient BackCom and pure NOMA transmission has been provided.

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