Multi-user uplink power control under imperfect-CSI and probabilistic constraints

Krishna Chitti, Xiaochen Tan, S. Brink
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引用次数: 1

Abstract

The problem of multi-cell multi-user uplink sum-power minimization with required quality of service (QoS) under imperfect Channel State Information (CSI) and Probabilistic Contraints (PrCons) is solved. This paper is an extension of our previous work on statistical-CSI and PrCons. Deterministic constraints at times are infeasible or too expensive to implement, further, the CSI could be imperfect due to limited feedback or improper channel estimation. In such cases, PrCons with low outage probability are a good substitute. To handle the PrCons, a conservative approximation of PrCons resulting in a deterministic formulation is required. In this paper, Extreme Value Theory (EVT) is combined with an Interior Point Method (IPM) to obtain the solution. EVT approach is compared with an existing method based on Bernstein-type inequality (BI). Numerical results show that EVT approach outperforms BI approach.
非完全csi和概率约束下的多用户上行功率控制
研究了在不完全信道状态信息(CSI)和概率约束(PrCons)条件下的多小区多用户上行链路功率和最小化问题。本文是我们之前在统计csi和PrCons方面工作的延伸。确定性约束有时是不可行的,或者实现起来太昂贵,此外,CSI可能由于有限的反馈或不正确的信道估计而不完美。在这种情况下,低停机概率的prcon是一个很好的替代品。为了处理PrCons,需要对PrCons进行保守近似,从而得到确定性公式。本文将极值理论(EVT)与内点法(IPM)相结合来求解。将EVT方法与基于bernstein型不等式(BI)的现有方法进行了比较。数值结果表明,EVT方法优于BI方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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