超密集无线异构网络中能量有效的网络协作通信研究

超密集无线异构网络被公认为是解决蜂窝网络1000×数据量挑战、大幅提升谱效最富有前景的5G组网技术。但是，与5G愿景背道而驰的是网络的超密集化部署在带来谱效提升的同时也极度地增大了系统的能耗，降低了通信能效。跨网协作是解决此矛盾的一种极为有效的手段，相关研究正处在起步阶段，诸多具有挑战性的基础理论与关键技术尚待攻克。本项目旨在利用超密集异构网络具有的全网管理能力和特有的网络分集，从宏观的网络匹配与微观的资源聚合两方面探索高能效网络协作理论与技术。首先开发自适应于业务负载时空变化的基站开关控制策略，其次设计能均衡负载、改善能谱效率的用户关联机制，以实现网络供给与用户需求间的第一级匹配，并进一步提出抗干扰的跨网联合资源分配方案以实现资源供给与用户需求间的第二级匹配。通过此研究，本项目拟实现在超密网络中在保证需求的谱效的基础上网络能效有量级的提升。

Ultra-dense wireless heterogeneous networks have been recognized as the most promising 5G network-organization technique to meet the 1000× data challenge imposed on cellular networks and the dramatic spectral efficiency (SE) improvement requirements. However, counter to the expected 5G vision, although benefiting from the SE improvement, ultra-dense network deployment significantly increases system energy consumption and thus decreases network energy efficiency (EE). Network cooperation is an extremely effective method to solve this conflict and nowadays is spurring extensive research interests. Nevertheless, studies on the field are still at a very primary stage and there are a large number of unexplored fundamental theoretical problems and key technical challenges. In this project, we investigate energy-efficient network cooperation from two aspects of macroscopic network matching and microscopic resource aggregation in ultra-dense wireless heterogeneous networks by exploiting their unique capabilities in overall network management and network diversity. Specifically, we first develop base station on/off strategies that are adaptive to both temporal and spatial traffic variations, and then devise user association policies that can balance network loads and improve both EE and SE. By these, we achieve the first-level matching between network supply and users’ requirements. Further, we propose anti-interference cross-network resource allocation schemes to match resource supply and users’ requirements at the second level. In general, by this project, we aim to increase network EE by orders of magnitude with guaranteed SE requirements in ultra-dense wireless heterogeneous networks.