scholarly journals Digital Self-Interference Cancellation Based on Blind Source Separation and Spectral Efficiency Analysis for the Full-Duplex Communication Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 43946-43955 ◽  
Author(s):  
Hua Yang ◽  
Hang Zhang ◽  
Jiang Zhang ◽  
Liu Yang
Keyword(s):  
Blind Source Separation ◽  
Spectral Efficiency ◽  
Interference Cancellation ◽  
Communication Systems ◽  
Source Separation ◽  
Efficiency Analysis ◽  
Full Duplex

scholarly journals Self-Interference Cancellation: A Comprehensive Review from Circuits and Fields Perspectives

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 172
Author(s):  
Jiahao Zhang ◽  
Fangmin He ◽  
Wei Li ◽  
Yi Li ◽  
Qing Wang ◽  
...  
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Base Station ◽  
The Self ◽  
Spectrum Efficiency ◽  
Full Duplex ◽  
Interference Signal ◽  
Comprehensive Review ◽  
To Come ◽  
Transmitting Antenna

Increased demand for higher spectrum efficiency, especially in the space-limited chip, base station, and vehicle environments, has spawned the development of full-duplex communications, which enable the transmitting and receiving to occur simultaneously at the same frequency. The key challenge in this full-duplex communication paradigm is to reduce the self-interference as much as possible, ideally, down to the noise floor. This paper provides a comprehensive review of the self-interference cancellation (SIC) techniques for co-located communication systems from a circuits and fields perspective. The self-interference occurs when the transmitting antenna and the receiving antenna are co-located, which significantly degrade the system performance of the receiver, in terms of the receiver desensitization, signal masking, or even damage of hardwares. By introducing the SIC techniques, the self-interference can be suppressed and the weak desired signal from the remote transmitter can be recovered. This, therefore, enables the full-duplex communications to come into the picture. The SIC techniques are classified into two main categories: the traditional circuit-domain SICs and the novel field-domain SICs, according to the method of how to rebuild and subtract the self-interference signal. In this review paper, the field-domain SIC method is systematically summarized for the first time, including the theoretical analysis and the application remarks. Some typical SIC approaches are presented and the future works are outlooked.

scholarly journals Full-Duplex Two-Tier Heterogeneous Network With Decoupled Access: Cell Association, Coverage, and Spectral Efficiency Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 172982-172995
Author(s):  
Zeeshan Sattar ◽  
Joao Victor De Carvalho Evangelista ◽  
Georges Kaddoum ◽  
Naim Batani
Keyword(s):  
Spectral Efficiency ◽  
Heterogeneous Network ◽  
Efficiency Analysis ◽  
Full Duplex ◽  
Cell Association

scholarly journals A MMSE-based Beamforming Algorithm for MIMO Point-to-Point Full-Duplex Communication Systems

2017 ◽  
Vol 1 (3) ◽  
pp. 72
Author(s):  
Tu Bui-Thi-Minh ◽  
Xung Le ◽  
Vien Nguyen-Duy-Nhat
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Full Duplex ◽  
Rate Maximization ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Point To Point ◽  
Transmitting Antenna ◽  
Beamforming Algorithm

In this paper, we focus on the precoding design for sum rate maximization while considering the effects of residual SI for point – to-point multiple input/multiple output (MIMO) Full-Duplex systems. The MMSE-based beamforming algorithm was proposed to cancel the SI. The results shown that, the self-interference cancellation is done by matrix precoding at the transmitter if the total number of transmitting antenna of two nodes is greater than the number of receiving antenna of one node. The Bit Error Rate (BER) was also evaluated in the simulation.

Independent Component Analysis Algorithms in Wireless Communication Systems

2009 ◽  
pp. 456-463 ◽  
Author(s):  
Sargam Parmar ◽  
Bhuvan Unhelkar
Keyword(s):  
Independent Component Analysis ◽  
Blind Source Separation ◽  
Antenna Arrays ◽  
Spread Spectrum ◽  
Communication Systems ◽  
Source Separation ◽  
Component Analysis ◽  
Independent Component ◽  
Direct Sequence ◽  
Communication Environment

In commercial cellular networks, like the systems based on direct sequence code division multiple access (DSCDMA), many types of interferences can appear, starting from multi-user interference inside each sector in a cell to interoperator interference. Also unintentional jamming can be present due to co-existing systems at the same band, whereas intentional jamming arises mainly in military applications. Independent Component Analysis (ICA) use as an advanced pre-processing tool for blind suppression of interfering signals in direct sequence spread spectrum communication systems utilizing antenna arrays. The role of ICA is to provide an interference-mitigated signal to the conventional detection. Several ICA algorithms exist for performing Blind Source Separation (BSS). ICA has been used to extract interference signals, but very less literature is available on the performance, that is, how does it behave in communication environment? This needs an evaluation of its performance in communication environment. This chapter evaluates the performance of some major ICA algorithms like Bell and Sejnowski’s infomax algorithm, Cardoso’s Joint Approximate Diagonalization of Eigen matrices (JADE), Pearson-ICA, and Comon’s algorithm in a communication blind source separation problem. Independent signals representing Sub-Gaussian, Super-Gaussian, and mix users, are generated and then mixed linearly to simulate communication signals. Separation performance of ICA algorithms is measured by performance index.

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