毫米波蜂窝网络中干扰感知用户关联和波束对链路分配

Aleksandar Ichkov, P. Mähönen, L. Simić
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引用次数: 0

摘要

研究了毫米波蜂窝网络中联合用户关联和波束对链路分配问题。我们提出了两种干扰感知策略-集中式和分布式策略-并基于特定站点的定向信道数据和实际天线模型评估其性能。我们的研究结果表明,考虑到实际天线阵列的不可忽略的副瓣严重限制了使用波束码本在毫米波网络中分配的bpl可实现的空间分离,使用理想扇形天线模型严重低估了空间干扰。我们还表明,与先前文献中的假设相反,小区内干扰是所有分配用户的主要干扰成分。通过利用非视距BPL,我们的干扰感知策略比干扰不可知的5G-NR默认用户与最强基站和BPL的关联实现了显著的性能提升,并且优于集中式负载平衡文献基准。我们提出的策略仅依赖于下行5G-NR参考信号来进行信道状态信息更新,这使得它们对基于码本的毫米波蜂窝网络具有吸引力。
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Interference-Aware User Association and Beam Pair Link Allocation in mm-Wave Cellular Networks
We study the problem of joint user association and beam pair link (BPL) allocation in millimeter-wave (mm-wave) cellular networks. We propose two interference-aware strategies – a centralized and a distributed one – and evaluate their performance based on site-specific directional channel data and realistic antenna models. Our results show that using idealized sectored antenna models severely underestimates the spatial interference, considering the non-negligible sidelobes of realistic antenna arrays which strongly limit the achievable spatial separation of the allocated BPLs in mm-wave networks using beam codebooks. We also show that intra-cell interference is the dominant interference component for all allocated users, in contrast to assumptions in the prior literature. By exploiting non line-of-sight BPLs, our interference-aware strategies achieve significant performance gains over interference-agnostic 5G-NR default user association to the strongest base station and BPL, as well as outperforming a centralized, load-balancing literature benchmark. Our proposed strategies rely solely on downlink 5G-NR reference signals for channel state information updates, making them attractive for practical codebook-based mm-wave cellular networks.
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