# Brain-Inspired Data Transmission in Dense Wireless Network
## 1 Introduction  
The current model of life, the development of technology, and access to different services increase the demand for access to spectrum. The interest in wireless access to an ever wider range of services is constantly growing. In view of the limited radio resources and problems related to the use of subsequent frequency bands, the solution to this problem could be sought in improving the efficiency of spectrum access. Observing the trends and plans related to the fifth generation of wireless cellular networks and beyond, one can notice--among other things--the continuous increase of the device's density per certain area in the network [1, 2]. The proliferation of smartphones and other wirelessly connected devices in the community is greater from one year to another. However, at the same time, the network infrastructure becomes continuously more heterogeneous--services offered by the macro-base stations are supported by densely deployed micro- and pico-base [3, 4]. Moreover, the cloud-based solutions gain popularity in practice, where the centralized baseband unit (BBU) associated with a number of connected remote heads (RH) [5]. One of the justifications for this situation is the fact that the reduction of distance between the network edge and the end-user leads toward better transmission opportunities. It is expected that the number of wireless nodes (mainly infrastructure elements like base stations, repeaters, etc.) will increase also in the future. Thus, in our paper we consider ultra-dense wireless networks [6, 7], where the density of transmitting nodes per certain area is as huge that in most cases line-of-sight transmission is possible, and in consequence, the resultant transmit power at each hop may be significantly reduced compared to the contemporary nodes. Moreover, following the recent concept of so-called integrated-access-backhaul (IAB) transmitters, we assume that each wireless nodes may act relay [8]. In consequence, in our work, we focus on ultra-dense wireless networks, where each node may act as a source, sink, or relay in the network. Such an approach brings immediately to mind the association with human brain and human nervous system (HNS) [9, 10, 11, 12]. Observationof the operation of the human body, in particular how information is transmitted in the body (which makes us move our hand, see, feel) seems to be highly similar to such ultra-dense telecommunication networks. Many elements of the human body are interconnected and exchange information with each other. A very important observation is that this information exchange takes place in the nervous system, which consists mainly of a very dense network of neurons. Additionally, this transmission is very simple yet complete. This is reminiscent of the notion that nature has developed the nervous system in such a way that information is transmitted by simple transmission over a large number of (independent/separate) connections instead of complicated transmission over a small number of paths (usually common). Inspired by such observation, we have considered the idea of a highly simplified data transmission scheme, where the goal is to guarantee the fulfillment of various network performance criteria (such as network reliability) while minimizing the burden due to the information processing and delivery, which should be as simplified as possible. In our prior work we tried to mimic the behavior of such dense wireless networks by applying the mechanisms found in the human brain and nervous system, e.g., [13]. In particular, in addition to the transmit-receive nodes, the presence of the specialized devices is considered that support self-organization and self-healing of the system, so in consequence its failure-free functioning. However, in today's network deployment the reliability plays an extremely important role. The messages have to be delivered correctly with a very low level of possible transmission failures [14; 15].