Approximate message passing (AMP) is a low-cost iterative signal recovery algorithm for
linear system models. When the system transform matrix has independent identically …

Recently proposed orthogonal time frequency space (OTFS) modulation has been
considered as a promising candidate for accommodating various emerging communication …

Channel estimation is one of the main challenges for implementing reconfigurable intelligent
surface (RIS)-aided communication system with a large number of antennas at the base …

Signal recovery from unitarily invariant measurements is investigated in this paper. A
message-passing algorithm is formulated on the basis of expectation propagation (EP). A …

This paper studies a downlink system that combines orthogonal-time-frequency-space
(OTFS) modulation and sparse code multiple access (SCMA) to support massive …

For massive machine-type communications, centralized control may incur a prohibitively
high overhead. Grant-free non-orthogonal multiple access (NOMA) provides possible …

In this paper, we study the multiuser detection (MUD) problem for a grant-free massive-
device multiple access (MaDMA) system, where a large number of single-antenna user …

We address the joint device activity detection and channel estimation (JACE) problem in a
massive MIMO connectivity scenario in which a large number of mobile devices are …

We investigate wideband uplink channel estimation for a multi-user (MU) multiple-input
single-output (MISO) OFDM system, in which the base station (BS) is equipped with an …

Accurate channel estimation with small pilot overhead is vital to improve the capacity and
reliability of massive MIMO systems. Recently, compressed sensing has been applied to …