论文标题

无人用的辅助蜂窝干扰协调:一种认知无线电方法

UAV-Sensing-Assisted Cellular Interference Coordination: A Cognitive Radio Approach

论文作者

Mei, Weidong, Zhang, Rui

论文摘要

空中干扰缓解措施被认为是实现蜂窝连接无人机(UAV)通信的主要挑战。由于视线(LOS)的空气地面通道(LOS)的空间通道,与地面用户相比,在其上行链路/下链接通信中,在更大的区域内,对蜂窝基站(BSS)的干扰会产生/遭受更大的干扰(BSS)。结果,适合陆地网络的常规间间干扰协调(ICIC)技术在减轻更严重的无人用诱导的干扰方面无效。为了应对这一新挑战,这封信通过分别将无人机和地面用户视为网络中的次要用户和主要用户,从而引入了基于认知无线电的解决方案。特别是,具有陆地BSS/用户的LOS通道具有强大的频谱感知能力,可检测到比其服务BS大得多的区域的陆地信号。通过利用这一独特的功能,我们为UAV下行链路和上行链路通信提出了一种新的无人机辅助ICIC设计。具体而言,无人机感受到其接收的干扰以及地面用户在下行链路和上行链路上的传输,分别在其服务BS上可用的资源块(RB)上,以帮助其RB分配给无人机,以避免对共同渠道陆地通信的干扰。数值结果表明,所提出的无人机辅助ICIC仅通过与邻近的BS进行合作来优于常规的陆地ICIC。

Aerial-ground interference mitigation has been deemed as the main challenge in realizing cellular-connected unmanned aerial vehicle (UAV) communications. Due to the line-of-sight (LoS)-dominant air-ground channels, the UAV generates/suffers much stronger interference to/from cellular base stations (BSs) over a much larger region in its uplink/downlink communication, as compared to the terrestrial users. As a result, conventional inter-cell interference coordination (ICIC) techniques catered for terrestrial networks become ineffective in mitigating the more severe UAV-induced interference. To deal with this new challenge, this letter introduces a cognitive radio based solution by treating the UAV and terrestrial users as secondary and primary users in the network, respectively. In particular, the LoS channels with terrestrial BSs/users endow the UAV with a powerful spectrum sensing capability for detecting the terrestrial signals over a much larger region than its serving BS. By exploiting this unique feature, we propose a new UAV-sensing-assisted ICIC design for both the UAV downlink and uplink communications. Specifically, the UAV senses its received interference and the transmissions of terrestrial users in the downlink and uplink, respectively, over the resource blocks (RBs) available at its serving BS to assist its RB allocation to the UAV for avoiding the interference with co-channel terrestrial communications. Numerical results demonstrate that the proposed UAV-assisted ICIC outperforms the conventional terrestrial ICIC by engaging the neighboring BSs for cooperation only.

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