Cell-Free Massive MIMO Meets OTFS Modulation

Author name not available (Why is that?)

Publication date: 20 December 2021

Abstract: We provide the first-ever performance evaluation of orthogonal time frequency space (OTFS) modulation in cell-free massive multiple-input multiple-output (MIMO) systems. To investigate trade-off between performance and overhead, we apply embedded pilot-aided and superimposed pilot-based channel estimation methods. We then derive a closed-form expression for the individual user downlink and uplink spectral efficiencies as a function of the numbers of APs, users and delay-Doppler domain channel estimate parameters. Based on these analytical results, we also present new scaling laws that the AP's and user's transmit power should satisfy, to sustain a desirable quality of service. It is found that when the number of APs,

M_{a}

, grows without bound, we can reduce the transmit power of each user and AP proportionally to

1 / M_{a}

and

1 / M_{a}^{2}

, respectively, during the uplink and downlink phases. We compare the OTFS performance with that of orthogonal frequency division multiplexing (OFDM) at high-mobility conditions. Our findings reveal that with shadowing correlation, OTFS modulation with embedded pilot-based channel estimation provides

30

-folds gain over the OFDM counterpart in terms of

95 %

-likely per-user downlink rate. Finally, with superimposed pilot-based channel estimation, the increase in the per-user throughput is more pronounced at the median rates over the correlated shadowing channels.

Has companion code repository: https://github.com/mohammadalimohammadi/cell-free-otfs

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