4 papers
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-…
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…
A Closed-form Transceiver Design for Interference Alignment and Cancellation (IAC) in MIMO Interference Channel
Xin Qu, Chung G. Kang
For a K-user interference channel, the degree of freedom (DoF) which can be achieved through interference alignment (IA) is constrained to signal space dimension governed by the nu…
Achievable Degrees of Freedom for Closed-form Solution to Interference Alignment and Cancellation in Gaussian Interference Multiple Access Channel
Qu Xin, Chung G. Kang
A combined technique of interference alignment (IA) and interference cancellation (IC), known as interference alignment and cancellation (IAC) scheme, has been proposed to improve…