Abstract
This paper considers a iterative Linear Minimum Mean Square Error (LMMSE) detection for the uplink Multiuser Multiple-Input and Multiple-Output (MU-MIMO) systems with Non-Orthogonal Multiple Access (NOMA). The iterative LMMSE detection greatly reduces the system computational complexity by departing the overall processing into many low-complexity distributed calculations. However, it is generally considered to be sub-optimal and achieves relatively poor performance. In this paper, we firstly present the matching conditions and area theorems for the iterative detection of the MIMO-NOMA systems. Based on the proposed matching conditions and area theorems, the achievable rate region of the iterative LMMSE detection is analysed. We prove that by properly design the iterative LMMSE detection, it can achieve (i) the optimal sum capacity of MU-MIMO systems, (ii) all the maximal extreme points in the capacity region of MU-MIMO system, and (iii) the whole capacity region of two-user MIMO systems.
| Original language | English |
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| Title of host publication | 2016 IEEE International Conference on Communications, ICC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479966646 |
| DOIs | |
| Publication status | Published - Jul 12 2016 |
| Externally published | Yes |
| Event | 2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia Duration: May 22 2016 → May 27 2016 |
Publication series
| Name | 2016 IEEE International Conference on Communications, ICC 2016 |
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Conference
| Conference | 2016 IEEE International Conference on Communications, ICC 2016 |
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| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 5/22/16 → 5/27/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
ASJC Scopus Subject Areas
- Computer Networks and Communications
Keywords
- achievable rate
- capacity region achieving
- Iterative LMMSE detection
- low-complexity
- MU-MIMO
- Non-Orthogonal Multiple Access