학술논문

Capacity per Unit-Energy of Gaussian Random Many-Access Channels
Document Type
Conference
Source
2020 IEEE International Symposium on Information Theory (ISIT) Information Theory (ISIT), 2020 IEEE International Symposium on. :3025-3030 Jun, 2020
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Language
ISSN
2157-8117
Abstract
We consider a Gaussian multiple-access channel with random user activity where the total number of users ℓ n and the average number of active users k n may be unbounded. For this channel, we characterize the maximum number of bits that can be transmitted reliably per unit-energy in terms of ℓ n and k n . We show that if k n log ℓ n is sublinear in n, then each user can achieve the single-user capacity per unit-energy. Conversely, if k n log ℓ n is superlinear in n, then the capacity per unit-energy is zero. We further demonstrate that orthogonal-access schemes, which are optimal when all users are active with probability one, can be strictly suboptimal.