Chip-scale wireless links inside packaged systems suffer from strong multipath and mutual coupling, making interference-limited simultaneous transmissions even at moderate power. This paper introduces an interference-aware channel-shortening receive architecture for in-package wireless links that improves performance under simultaneous transmissions. The proposed receiver operates pre-matched-filter and learns an interference-aware shortener from joint covariance, thereby avoiding double shaping while requiring no transmitter coordination or spatial nulling. Focusing on multi-chiplet network-in-package (NiP) fabrics with simultaneous links and quasi-static channels extracted from full-wave models, we propose to improve post-detection signal-to-interference-plus-noise ratio (SINR) and bit-error rate (BER). Metrics are quantified via closed-form equalizer solutions in various noise-limited and interference-limited regimes. Moreover, our formulation reduces to the conventional minimum mean-square error (MMSE) result in the single-link setup while it maintains significant gains under simultaneous transmissions scenarios. Numerical results show that proposed schemes consistently outperform conventional schemes across different values of power, rate, and the number of co-channel links, delivering significant SINR improvements and noticeable BER reductions at various transmit power ranges while maintaining consistent gains when increasing number of simultaneous links.
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