Model of closed loop control of wireless resource in cellular networks

The authors proposed model of closed loop control together with programmable environment enabling the possibility to create intelligent, self-learning network based on existing mobile operator networks. Reluctance to research traffic processes in real time mode and distribute a request flows according to the types, quantity or concentration of subscribers in one or another network segment, etc. formulate main problem in modern cellular networks and systems. The authors propose to settle the issues of detection of anomalous effects such as sudden congestions in cellular network segments and prevention of the block or denial of service with the help of the own network function of positioning of mobile subscribers. Second proposed step is to analyze and combine all the arrays of positioned subscribers in some conglomerates or clusters with selection of clear centers (nodes of demand). The third step is to solve typical transportation problem among existing base stations of mobile operator and found (calculated) nodes of demand. Further, the operator will only compile a model set for different seasons, days of the week, weekends, public holidays and other non-conventional situations causing block or denial of service and add them to the variety of models in system memory units. After that, QoS/CoS parameters should be defined and end wireless resource should be distributed among consumers. This model demonstrates locations of base stations in case of rebuild of existing telecommunication networks considering dynamic and static nodes of demand that automatically results in service upgrade. The cellular network will transform into intelligent network without blocks and denials of service.