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Methods and apparatus for partial interference reduction within wireless networks

專利號
US10785783B2
公開日期
2020-09-22
申請人
APPLE INC.（US CA Cupertino）
發(fā)明人
Markus Mueck; Maik Bienas; Andreas Schmidt
IPC分類
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.

說明書

In these interference suppression schemes, UEs are expected to apply interference reduction algorithms to remove ICI. FIG. 3 illustrates one typical method of implementing interference reduction at the UE. The UE estimates the interfering signals 302, and then reconstructs a “guessed” interfering signal and subtracts it from the received signal 304. If the UE has multiple interfering signals, it iterates through each “guessed” signal. Once all the interfering signals have been estimated and removed, the desired useful signal is decoded in step 306. UE-based interference suppression techniques generally work well if the UE is able to obtain correct estimates of the interfering signals, and accurate CIR models.

In practice, the UE must estimate the channel corruption based on its received signal. The UE is never given a “golden” or error-free starting point from which it is to deduce channel corruption. Therefore, estimation errors commonly occur during initial estimates of the CIR, and are propagated throughout subsequent calculations. If the UE has misestimated the level or type of interference, then the suppression stage 304 may not reduce the overall interference level. Furthermore, with large enough estimation errors, the suppression stage may actually degrade performance. Thus, an ideal solution would minimize potentially fallible estimation techniques to reduce interference.

權(quán)利要求

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