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cs.IT2021
Deep Learning-based Codebook Design for Code-domain Non-Orthogonal Multiple Access Approaching Single-User Bit Error Rate Performance
Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe +1
A general form of codebook design for code-domain non-orthogonal multiple access (CD-NOMA) can be considered equivalent to an autoencoder (AE)-based constellation design for multi-…
cs.IT2021
Multi-sequence Spreading Random Access (MSRA) for Compressive Sensing-based Grant-free Communication
Ameha Tsegaye Abebe, Chung G. Kang
The performance of grant-free random access (GF-RA) is limited by the number of accessible random access resources (RRs) due to the absence of collision resolution. Compressive sen…