有界双斜率路径损耗模型下的超密集网络协作传输
Cooperative Transmissions in Ultra-Dense Networks under a Bounded Dual-Slope Path Loss Model
摘要：
在基站（BS）多于活动用户的超密集网络（UDN）中，可能许多BS瞬时空闲。因此，如何利用这些休眠的BS通过协作传输是一个有趣的问题。在本文中，我们研究了两种类型的合作计划：非相干联合传输（JT）没有信道状态信息（CSI）和相干JT与完整的CSI知识的UDN的性能。我们考虑一个有界的双斜率路径损耗模型来描述UDN环境中，一个用户有几个BS在近场和其余的在远场。数值结果表明，非相干JT不能提高用户的频谱效率（SE），由于在信号和干扰功率的同时增加。对于相干JT，可实现的SE增益取决于近场的范围、BS和用户的相对密度以及CSI精度。最后，我们评估的能源效率（EE）的合作在UDN。尽管会消耗额外的能量，但在某些条件下，合作仍然可以提高EE。
英文摘要：
In an Ultra-dense network (UDN) where there are more base stations (BSs) than active users, it is possible that many BSs are instantaneously left idle. Thus, how to utilize these dormant BSs by means of cooperative transmission is an interesting question. In this paper, we investigate the performance of a UDN with two types of cooperation schemes: non-coherent joint transmission (JT) without channel state information (CSI) and coherent JT with full CSI knowledge. We consider a bounded dual-slope path loss model to describe UDN environments where a user has several BSs in the near-field and the rest in the far-field. Numerical results show that non-coherent JT cannot improve the user spectral efficiency (SE) due to the simultaneous increment in signal and interference powers. For coherent JT, the achievable SE gain depends on the range of near-field, the relative densities of BSs and users, and the CSI accuracy. Finally, we assess the energy efficiency (EE) of cooperation in UDN. Despite costing extra energy consumption, cooperation can still improve EE under certain conditions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
