Spectral estimation for long-term evolution transceivers using low-complex filter banks

The Journal of Engineering

Christoph Juritsch¹  Mario Huemer²  Thomas Schlechter³ 

[1] EDF GmbH, Munich, Germany;Institute of Signal Processing, JKU Linz, Linz, Austria;SKIDATA AG, Groedig, Austria

关键词: long-term evolution transceivers;    communication reliability;    spectrum sensing approach;    generic spectrum sensing approach;    CMOS technology database;    communication st;    ards;    digital frontends;    low-complex multiplier free filter bank;    chip area estimation;    LTE networks;    Smarti4G chip;    mobile user equipments;    power management;    environmental spectral conditions;    power consumption;    signal extraction;    DFE;    UE analogue;    AFE;    spectral estimation;   

DOI  :  10.1049/joe.2014.0102

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

For mobile user equipments (UEs), a careful power management is essential. Despite this fact, quite an amount of energy is wasted in today's UEs’ analogue (AFEs) and digital frontends (DFEs). These are engineered for extracting the wanted signal from a spectral environment defined in the corresponding communication standards with their extremely tough requirements. These requirements define a worst-case scenario still ensuring reliable communication. In a typical receiving process the actual requirements can be considered as less critical. Knowledge about the actual environmental spectral conditions allows to reconfigure both frontends to the actual needs and to save energy. In this paper, the authors present a highly efficient generic spectrum sensing approach, which allows to collect information about the actual spectral environment of an UE. This information can be used to reconfigure both the AFE and DFE, thus endowing them with increased intelligence. A low-complex multiplier free filter bank extended by an efficient power calculation unit will be introduced. They also present simulation results, which illustrate the performance of the spectrum sensing approach and a complexity comparison with different well-known implementations is given. Furthermore, estimates on the chip area and power consumption based on a 65 nm CMOS technology database are provided, considering the Smarti4G chip as a reference.

【 授权许可】

CC BY