Future Robust Networks: Current Scenario and Beyond for 6G
Ar Junejo 1, Mohammed K. A. Kaabar 2 , 3, *, Soha
Mohamed 4
1 School of Control Science and Control Engineering,
Harbin Institute of Technology, Harbin 150001, China; allahrakhio@hit.edu.cn (A.J.)
2 Department of Mathematics and Statistics, Washington
State University, Pullman, 99163 WA, USA
3 Institute of Mathematical Sciences, University of
Malaya, Kuala Lumpur, Malaysia
4 School of Computer Science and Technology, Harbin
Institute of Technology, Harbin 150001, China; sc.soha@yahoo.com (S.M.)
* Correspondence: mohammed.kaabar@wsu.edu
1 School of Control Science and Control Engineering,
Harbin Institute of Technology, Harbin 150001, China; allahrakhio@hit.edu.cn (A.J.)
2 Department of Mathematics and Statistics, Washington
State University, Pullman, 99163 WA, USA
3 Institute of Mathematical Sciences, University of
Malaya, Kuala Lumpur, Malaysia
4 School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China; sc.soha@yahoo.com (S.M.)
* Correspondence: mohammed.kaabar@wsu.edu
Abstract:
With the progress of smart technology and diversified application of existing networks, the future might not manage the rapid growth of traffic demand, i.e., 6G. Therefore, future robust networks (FRNs) are investigated to get enough bandwidth and solve problems to achieve strong communication and self-configuration. Because the global positioning system (GPS) nodes have severe shortcomings, node localization is not appropriate for the self-configuring FRNs. A node localization mechanism scanning technology for calculating the distance between nodes, and multi-alteration scanning, and spatial triangulation techniques for calculating the distance between nodes are discussed in this article. In addition, the appearance of index modulation (IM) is an advanced modulation of the model. The subcarrier-index modulation (SIM) of different scenarios uses index mapping techniques for FRNs and beyond. We formulate locating positioning in wireless sensor networks (WSNs) through distance estimation techniques. The general model of SIM, along with its mechanism implementation, is also introduced. By improving the spectral efficiency, the comparison average bit error probability enhances the signal quality and frequency selectivity through the exhaustive search-based optimal detector at receiver for FRNs. Then, we study the potential applications of SIM in various scenarios such as downlink multi-user network and physical layer security.
Keywords: FRNs; index carrier; self-configuration; smart array; WSN; 6G
