Interference-Aware Resource Schedule And Application Platform Realization

With the rapid development of wireless communication industries, there will be different kinds of wireless networks overlaid that bring an acid test for current resource utilization. Among all the scenarios, the coexistence of systems with various transmit power and coverage zone obtains the attention gradually and turns into a developing trend in the future. However, just as each coin has its two sides, the interference between systems becomes more complex and the dynamic adaption of resource allocation more demanding. Besides, there also exist problems for real systems such as the lack of analysis standardization and the redundancy of procedure. Therefore, it is necessary to design a new thorough and efficient coexistence analysis platform architecture.As a result, we propose a statistical method for modeling the aggregate interference and further research the actual available resource distribution and allocation scheme regarding to the typical scenario that different networks vary with transmit power and coverage zone. In terms of technology application, a new function-aware coexistence simulation platform architecture is put forward, whose construction strategy centers on the modularization. Several communication systems are researched as samples to prove the platform efficiency. The main contributions of this paper include the following two aspects.Firstly, the paper has researched the mutual aggregate interference between multi-systems, corresponding available secondary system resource distribution and the optimized resource schedule. To begin with, the interference modeling for coexistence of the high-power network and low-power secondary system within its coverage is conducted. As for the coexistence of the high-power system and medium-power cellular network outside its coverage, we research the aggregate interference characteristics and obtain the close-form interference probability density function. After that, the final interference influences are proposed in a more generalized scenario and we prove the available capacity demonstrates a geographical volcano-shaped distribution. Based on the resource distribution, we further put forward maximizing-channel-aware and maximizing-capacity-aware power allocation schemes respectively and obtain the energy-cost-optimized base station densities.Secondly, this paper designs a new function-oriented coexistence simulation platform architecture for actual communication systems in reality. Through the module pool, we regard the simulation components with the same function as a set and control them intensively by unified communication interface, which greatly improves the module extendibility and reusability. At the same time, we also take the coexistence scenario of LTE and Compass satellite systems as a typical example to illustrate the structure of transmit module, receiver module, channel model module and so on. The guard bands for satisfying the communication requirements are proposed and available spectrum resources for LTE are also obtained. Furthermore, we apply the coexistence analysis of LTE and radar systems to prove the flexibility of the new platform architecture, which is of great significance for subsequent research.Finally, the conclusion is conducted. In terms of the current development of the theories and technologies in this field, further research orientation is proposed.