Interference-adapted scheduling weight for small-cell in heterogeneous network
Interference-adapted scheduling weight for small-cell in heterogeneous network
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DOI：
10.1109/pimrcw.2013.6707861
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发表时间：
2013-09
期刊：
影响因子：
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通讯作者：
Kei Inage;T. Fujii
中科院分区：
文献类型：
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作者：
Kei Inage;T. Fujii
异构网络(HetNet)是除了宏小区之外还由微微小区、毫微微小区和中继网络组成的混合网络。家庭eNodeB（HeNB）将较小的覆盖范围覆盖到宏小区覆盖范围，以便通过将流量卸载到HeNB来支持宏eNodeB（MeNB）的本地高流量。从频谱效率的角度来看，HeNB的频段采用与MeNB相同的频段进行设计。然而，MeNB和HeNB之间的小区间干扰对两个小区的通信质量都产生有害影响。可以通过在宏用户设备(MUE)处的干扰约束下的HeNB的发射功率控制来避免MeNB通信的性能下降。另一方面，由于HeNB的发射功率根据干扰约束而受到限制，所以难以通过发射功率控制或功率分配来提高家庭用户设备(HUE)的通信质量。另外，HeNB和HUE应该在干扰环境下进行通信。因此，HeNB必须在不进行发射功率控制的情况下通过调度来实现高效的频谱接入。因此，与比例公平调度相比，我们在不增加反馈信息的情况下，提出了HetNet中小小区的自适应干扰调度。通过计算机模拟，我们展示了所提出的调度的有效性。
A Heterogeneous Network (HetNet) is the mixture network consisted of pico cell, femto cell and relay network in addition to macro cell. A home eNodeB (HeNB) overlays smaller coverage to the macro cell coverage in order to support the local high traffic of Macro eNodeB (MeNB) by off-loading the traffic to the HeNB. In the view point of the spectral efficiency, the frequency band of the HeNB is designed using the same band of the MeNB. However, the inter-cell interference between the MeNB and the HeNB gives harmful effects to both communication qualities of two cells. The performance degradation of the MeNB communication can be avoided by the transmit power control of the HeNB under the interference constraint at Macro User Equipments (MUEs). On the other hand, it is difficult to improve the communication quality of the Home User Equipment (HUE) by the transmit power control or the power allocation, since the transmit power of the HeNB is restricted according to the interference constraint. In addition, the HeNB and the HUE should communicate in the interference environment. Hence, HeNB has to achieve the efficient spectrum access by scheduling without the transmit power control. Therefore, we propose an adaptive interference scheduling for small cell in the HetNet without increasing the feedback information compared with the Proportional Fair Scheduling. Through the computer simulation, we show the effectiveness of the proposed scheduling.