The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. Numerous specific details are set forth in the following description in order to provide a thorough understanding of the invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details. For the purpose of clarity, technical material that is known in the technical fields related to the invention has not been described in detail so that the invention is not unnecessarily obscured.
As cellular networks continue to evolve, heterogeneous networks are becoming increasingly important with greater usage of smaller cells, such as picocells and femtocells. However, while macrocells were well planned and controlled by cellular providers, the greater usage of these smaller cells, which are less planned and centrally controlled e.
As a result, fully autonomous modes of operation of macrocells and smaller cells is less desirable as there can be cellular overlap resulting in various radio resource overlap and interference. Accordingly, there is a need to provide improved coordination and intelligent radio resource usage among various nodes e. This heterogeneous nature of heterogeneous networks has made the deployment, operation, administration, maintenance, and provisioning of such heterogeneous networks significantly more challenging as compared with homogeneous networks.
For example, some of the key challenges include the following: a deployment: overlapping footprints can cause significant interference issues e. Self-Organized Network SON has become a requirement to facilitate the deployment, operation, maintenance, and provisioning of heterogeneous networks.
However, the existing SON solutions are platform dependent and address mainly the configuration and provisioning issues. Accordingly, it is important to provide SON architectures that are independent from radio access technologies e. In addition, it is important to provide SON architectures that can address the need for deployment, operation, maintenance, and provisioning of heterogeneous networks. SON solutions are typically defined and implemented based on some existing or known network topologies.
For example, in the early phase of a heterogeneous network where the number base stations e. As the capacity and throughput requirements increase, the number of base stations increases as well as inter-cell interference. Hence, the total capacity and throughput can, in fact, decrease due to the increased inter-cell interference. In this case, the SON deployment can migrate to coordinated distributed or coordinated hybrid deployment to better manage inter-cell interference and improve network performance.
In other use cases, centralized SON deployment can be selected due to existing network management infrastructure. In some embodiments, techniques for implementing SON architectures for heterogeneous networks includes providing a base station that includes autonomously performing a pre-operation self-configuration; and autonomously performing an operation self-optimization.
In some embodiments, techniques for implementing SON architectures for heterogeneous networks includes providing a base station that includes communicating with peer base stations to receive peer-to-peer radio configuration information for implementing a coordinated distributed Self-Organized Network SON deployment; and performing an operation self-optimization using the peer-to-peer radio configuration information. In some embodiments, the base station is a 4G base station that performs peer-to-peer communications using an X2-AP link of the base station.
In some embodiments, techniques for implementing SON architectures for heterogeneous networks includes providing a base station that includes communicating with a Self-Organized Network SON server for implementing a coordinated hybrid distributed SON deployment; and performing an operation self-optimization using radio configuration information received from the server. In some embodiments, the base station is a 4G base station that performs communications to the SON server using an X2-AP link of the base station. In some embodiments, the base station is a 4G base station that performs communications to the SON server using an S1-AP link of the base station.
In particular, FIG. As shown, the SON functional modules are divided into two functional states—pre-operation self-configuration and operational self-optimization. During the pre-operation self-configuration state, the SON functional modules power-up configuration and initial radio configuration handle initial power up configuration for the NB including, for example, backhaul link setup, transport network configuration, and radio network configuration e.
Upon completing the pre-operation self-configuration, the SON functional modules enter an operational self-optimization state. During the operational self-optimization state, the SON functional modules measurement report , pre-processing , ANR Automatic Neighbor Relation and PCI Physical Cell Identification , and optimization and algorithm functional modules performs real-time optimization by, for example, receiving various measurement reports and QoS requirements e. For example, optimization algorithms can reside on the NB to analyze receive measurement reports e.
5G Heterogeneous Networks - SPRINGER BRIEFS IN ELEC TRIC AL...
Thus, the inter-cell interference is reduced by transmitting the proper amount of power with necessary duration. As also shown in FIG. In some embodiments, the SON deployment is distributed and operates autonomously. In some embodiments, the optimization and algorithms module performs various optimization procedures by exercising optimization algorithms on pre-processed measurement reports, QoS requirements, and NRM parameters from the pre-processing module In some embodiments, the post-processing module uses the results from the optimization and algorithms modules , formats such results in forms of radio resource constraints and configuration parameters, and then delivers the formatted results to corresponding protocol stack modules and the NRM API module Pre-processing module processes the CQI e.
In some embodiments, the SON solution for coordinated distributed deployment includes five functional modules and NRM extension as similarly discussed above with respect to the autonomously distributed SON solution as described with respect to FIG.
In some embodiments, each functional module performs tasks as those similarly described above with respect to FIG. In some embodiments, the optimization and algorithms module receives neighbor NB measurement reports, QoS requirements and NRM parameters as additional inputs for inter-cell interference management and network performance optimization. For example, the pre processing module receives neighbor NBs' measurement reports, pre-processed by neighbor NBs' pre-processing modules, and QoS requirements, and then passes this information to the optimization and algorithms modules as part of the inter-cell interference management algorithm inputs.
With additional neighbor NBs' measurement reports and QoS requirements, the inter-cell interference management can coordinate the transmit power and duration with its neighbors via post-processing module. For instance, the optimization and algorithms modules of an NB can decide to transmit high power at time slot 1, 3, 6 and 7 to service its cell edge UEs and transmit low power at the other time slots to service its cell center UEs during a next optimization period.
Because this information is exchanged via post-processing module, neighbor NBs' optimization and algorithms modules can choose to transmit high power to service their cell edge UEs at different time slots to minimize inter-cell interference at cell edge. When the inter-cell interference is minimized at the cell edge, the throughput will increase at the cell edge. Thus, the network performance is optimized.
In addition, this architecture of SON e. For example, centralized server based techniques are provided for implementing coordinated hybrid SON deployment. In a hybrid deployment, the coordination, inter-cell interference management and real-time optimization functional modules are located the server as shown. As shown in FIG. The Media and Communications in Australia 4th edition, All This in 60 Minutes.
Valve Radio and Audio Repair Handbook. Wireless Communications.
Self-organizing and Optimization
Radio Making Waves in Sound. Guide for the Netflix Generation.
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