小小区自适应虚拟MIMO单簇优化

T. Kanakis, Michael Opoku Agyeman, Anastasios G. Bakaoukas
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引用次数: 2

摘要

本文展示了在单个小单元簇中优化的自适应虚拟MIMO,在有部分或没有信道状态信息的情况下实现了接近香农信道的容量。尽管近年来接入链路大幅增加,但无论系统中提出多少个接入节点,操作系统的复杂性仍然是线性的。在单个集群中优化的自适应虚拟MIMO实现了理论的信息频谱效率,几乎等于典型网状网络的上界,在信噪比为30dB时高达43比特/秒/赫兹,而当理想的小蜂窝网状网络的理论上界在信噪比为12.5 dB时达到10−6时,误码率性能仍然很低,在信噪比约为13 dB时达到10−6。此外,在次优信道条件下,即使在非常高的信噪比下,所提出的解决方案的信道容量和误码率性能也会显着延迟饱和。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive virtual MIMO single cluster optimization in a small cell
Adaptive Virtual MIMO optimized in a single cluster of small cells is shown in this paper to achieve near Shannon channel capacity when operating with partial or no Channel State Information. Although, access links have enormously increased in the recent years, the operational system complexity remains linear regardless of the number of access nodes in the system proposed. Adaptive Virtual MIMO optimized in a single cluster performs a theoretical information spectral efficiency, almost equal to that of the upper bounds of a typical mesh network, up to 43 bits/s/Hz at a SNR of 30dB while the BER performance remains impressively low hitting the 10−6 at an SNR of about 13 dB when the theoretical upper bound of an ideal small cell mesh network achieves the 10−6 at a SNR of 12.5 dB. In addition, in a sub-optimum channel condition, the channel capacity and BER performance of the proposed solution is shown to drastically delay saturation even for the very high SNR.
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