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Methods and apparatus for partial interference reduction within wireless networks

專(zhuān)利號(hào)
US10785783B2
公開(kāi)日期
2020-09-22
申請(qǐng)人
APPLE INC.(US CA Cupertino)
發(fā)明人
Markus Mueck; Maik Bienas; Andreas Schmidt
IPC分類(lèi)
H04K1/10; H04L27/28; H04W72/12; H04J11/00; H04L5/00; H04L25/497; H04B15/00; H04W72/08
技術(shù)領(lǐng)域
bs,ue,pilot,tones,in,data,cir,or,be,frequency
地域: CA CA Cupertino

摘要

Methods and apparatus that enable one or more wireless networks to minimize inter-cellular interference (ICI) at a receiver. In one embodiment, the network comprises an OFDM-based cellular network, and the method comprises utilizing a priori knowledge of non-data portions of signals from multiple base stations in order to schedule transmissions. In one variant, these non-data portions comprise pilot tones; the pilot tones can be scheduled onto various time-frequency resources of the network so as to minimize ICI. The mobility context of the receiver can also be used as a basis for dynamically adjusting the pilot tone density. In another variant, precoding (e.g., Tomlinson-Harashima precoding) can be applied to “shape” the non-data portions of the transmitted signals so as to mitigate ICI. In yet other variants, frame preambles and learning sequences are used as the basis for invoking selective transmission time shifts across the potentially interfering base stations so as to minimize ICI.

說(shuō)明書(shū)

As previously discussed with regards to FIG. 4 herein, an exemplary OFDM frame comprises a preamble sequence 402, channel learning sequences 404 (typically to be used for channel estimation), and data symbols 408. Pilot tones 406 are typically assumed to be intermingled with data tones. The preamble and CIR (Channel Impulse Response) learning sequences are typically larger compared to the pilot tones within the data part, and are also deterministic. In most cases, the preamble and CIR learning field of the entire spectral usage can be calculated or determined (as opposed to the data fields, of which, only the pilot tones are easily determined).

Consequently, interference cancellation can be efficiently distributed by time-shifting the preamble 402 and CIR learning sequence 404 fields of the interfering BS; in one variant, these are shifted to maximally coincide with the same time interval as the data part 408 of the BS transmitting the useful data symbol as shown in FIGS. 8A and 8B. Specifically, the complete overlap should be the objective if the frame structure allows for it. If not (as it is the case in FIG. 8A), the level of overlap should be maximized and the delay should be adapted correspondingly. In practice, a perfect overlap (FIG. 8B) is rarely possible and in most cases, the overlap with learning sequences is only a partial overlap. In such cases, two types of interference reduction strategies are applied: i) full interference reduction over preamble part, ii) partial interference reduction over part with useful data, typically exploiting a priori knowledge on pilot tones.

權(quán)利要求

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