scholarly journals Inter-Beam Co-Channel Downlink and Uplink Interference for 5G New Radio in mm-Wave Bands

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 793
Author(s):  
Kamil Bechta ◽  
Jan M. Kelner ◽  
Cezary Ziółkowski ◽  
Leszek Nowosielski

This paper presents a methodology for assessing co-channel interference that arises in multi-beam transmitting and receiving antennas used in fifth-generation (5G) systems. This evaluation is essential for minimizing spectral resources, which allows for using the same frequency bands in angularly separated antenna beams of a 5G-based station (gNodeB). In the developed methodology, a multi-ellipsoidal propagation model (MPM) provides a mapping of the multipath propagation phenomenon and considers the directivity of antenna beams. To demonstrate the designation procedure of interference level we use simulation tests. For exemplary scenarios in downlink and uplink, we showed changes in a signal-to-interference ratio versus a separation angle between the serving (useful) and interfering beams and the distance between the gNodeB and user equipment. This evaluation is the basis for determining the minimum separation angle for which an acceptable interference level is ensured. The analysis was carried out for the lower millimeter-wave band, which is planned to use in 5G micro-cells base stations.

Author(s):  
Tatyana Bushkova ◽  
Svetlana Moiseeva ◽  
Alexander Moiseev ◽  
János Sztrik ◽  
Ekaterina Lisovskaya ◽  
...  

AbstractNew Radio Access Technology 3GPP New Radio has become the fundamental wireless technology in the fifth-generation networks, which allows us to achieve high data rates due to the ability to work in the millimeter-wave band. But the key feature and the main problem of 5G New Radio networks is that people themselves, cars, buildings, etc. are signal blockers, while the base stations of the fourth generation networks have widescreen broadcasting and such small obstacles do not cause loss of connection. Service providers and mobile operators are already testing the proposed technology. In this connection, the scientific community has the task of analyzing the performance of these systems and increasing it in the future. Currently, there are known studies of “basic” mathematical models of such networks. By this term, we mean models built in the simplest possible assumptions. However, due to the justified necessity of introducing new technology into the daily lives of subscribers, service providers pose the scientific community with the task of analyzing the effectiveness of the most appropriate mathematical models. For example, a technology of splitting transmitted data into two streams using as 5G and both 4G transmission technologies is considered now by 3GPP Project Coordination Group. The paper is devoted to such a problem. We consider a mathematical model of the message transmitting with the implementation of the splitting function in the communication networks of New Radio technology in the form of a resource queueing system with a renewal arrival process and non-exponential service. For this problem, an approximation of a stationary two-dimensional probability distribution of the number of occupied resources in parallel service units is obtained. It is shown that this approximation coincides with the Gaussian distribution, and its area of applicability is shown.


Author(s):  
Youmni Ziade ◽  
◽  
Wissam Obeid ◽  

Applying Machine Learning algorithms in wireless communication has shown increasing interest due to the increase of demand on capacity, the increase of the number of users, and equipment sharing the limited frequency spectrum resources. Also, the need for a reduction in power consumption at base stations and the optimization of radio coverage make ML an attractive and promising technique. In this paper, we investigate the usage of Support Vector Machine (SVM) technique for Direction of Arrival (DoA) estimation in the millimeter-wave band. The objective is to predict the location of a user in a given area by analyzing the received signals at an array of antennas, using an SVM-based model. The first phase of this technique consists of the training phase that aims to identify the characteristics of each class, and that is based on a set of training samples. The second phase consists of testing the trained model using a set of samples/users. We have carried out a set of simulations based on the developed model. The results are promising in terms of the accuracy of determining the DoA, taking into consideration a channel with noise and multipath.


2012 ◽  
Vol E95.C (10) ◽  
pp. 1635-1642 ◽  
Author(s):  
Yuanfeng SHE ◽  
Jiro HIROKAWA ◽  
Makoto ANDO ◽  
Daisuke HANATANI ◽  
Masahiro FUJIMOTO

2017 ◽  
Vol 76 (10) ◽  
pp. 903-918
Author(s):  
A. V. Varavin ◽  
G. P. Ermak ◽  
A. S. Vasilev ◽  
A. V. Fateev ◽  
N. V. Varavin ◽  
...  

2011 ◽  
Vol 70 (15) ◽  
pp. 1315-1322
Author(s):  
R. I. Belous ◽  
S. P. Martynyuk ◽  
A. P. Motornenko ◽  
I. G. Skuratovskiy

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