Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
Lei Liu, Yuhao Chi, Shunqi Huang

TL;DR
This paper proposes a novel random modulation technique that enhances the performance of linear systems over arbitrary channel matrices, achieving near-optimal BER and capacity with low complexity and significant gains over existing methods.
Contribution
It introduces a channel-decoupled random modulation method that guarantees asymptotic replica optimality and develops a low-complexity detector leveraging channel sparsity and randomness.
Findings
Achieves 2-3 dB BER and BLER improvements over OFDM/OTFS/AFDM with 5G-NR LDPC codes.
Guarantees asymptotic replica MAP optimality for AMP-type detectors.
Provides optimal power allocation schemes to minimize BER and maximize capacity.
Abstract
This paper introduces a random modulation technique that is decoupled from the channel matrix, allowing it to be applied to arbitrary norm-bounded and spectrally convergent channel matrices. The proposed random modulation constructs an equivalent dense and random channel matrix, ensuring that the signals undergo sufficient statistical channel fading. It also guarantees the asymptotic replica maximum a posteriori (MAP) bit-error rate (BER) optimality of approximate message passing (AMP)-type detectors for linear systems with arbitrary norm-bounded and spectrally convergent channel matrices when their state evolution has a unique fixed point. Then, a low-complexity cross-domain memory approximate message passing (CD-MAMP) detector is proposed for random modulation, leveraging the sparsity of the time-domain channel and the randomness of the random transform-domain channel. Furthermore,…
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Taxonomy
TopicsPAPR reduction in OFDM · Advanced Wireless Communication Technologies · Wireless Communication Security Techniques
