Design of Non-Orthogonal Beamspace Multiple Access for Cellular Internet-of-Things
arXiv:1902.02903 · doi:10.1109/JSTSP.2019.2898331
Abstract
In this paper, we study the problem of massive connections over limited radio spectrum for the cellular Internet-of-Things (IoT) in the fifth-generation (5G) wireless network. To address the challenging issues associated with channel state information (CSI) acquisition and beam design in the context of massive connections, we propose a new non-orthogonal beamspace multiple access framework. In particular, the user equipments (UEs) are non-orthogonal not only in the temporal-frequency domain, but also in the beam domain. We analyze the performance of the proposed non-orthogonal beamspace multiple access scheme, and derive an upper bound on the weighted sum rate in terms of channel conditions and system parameters. For further improving the performance, we propose three non-orthogonal transmit beam construction algorithms with different beamspace resolutions. Finally, extensive simulation results show that substantial performance gain can be obtained by the proposed non-orthogonal beamspace multiple access scheme over the baseline ones.
arXiv commentAccepted for publication, IEEE Journal of Selected Topics in Signal Processing-NOMA, 2019
References in corpus (8)
- Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
- Massive Non-Orthogonal Multiple Access for Cellular IoT: Potentials and Limitations
- Pilot Reuse for Massive MIMO Transmission over Spatially Correlated Rayleigh Fading Channels
- Design of Massive-MIMO-NOMA with Limited Feedback
- BDMA for Millimeter-Wave/Terahertz Massive MIMO Transmission with Per-Beam Synchronization
- On the Fundamental Limits of Random Non-orthogonal Multiple Access in Cellular Massive IoT
- Why Does a Kronecker Model Result in Misleading Capacity Estimates?
- Beam Design and User Scheduling for Non-Orthogonal Multiple Access with Multiple Antennas Based on Pareto-Optimality
Cited by in corpus (5)
- A Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access
- Energy-Efficient Resource Allocation in Massive MIMO-NOMA Networks with Wireless Power Transfer: A Distributed ADMM Approach
- Massive Access for 5G and Beyond
- Integrated Sensing, Computation and Communication in B5G Cellular Internet of Things
- Random Access for Massive Machine-Type Communications