Name
Abstract | ||
|---|---|---|
Efficient massive MIMO detection for practical deployment, which is with spatially correlated channel and high-order modulation, is a challenging topic for the fifth generation mobile communication (5G). In this paper, lattice reduction aided belief propagation (LRA-BP) is proposed for massive MIMO detection. LRA-BP applies the message updating rules of Markov random field based belief propagation (MRF-BP) in lattice reduced MIMO system. With the lattice reduced, well-conditioned MIMO channel, LRA-BP obtains better message updating and detection performance in spatially correlated channel than MRF-BP. Log-domain arithmetic is used in LRA-BP for computational complexity reduction. Simulation result shows that LRA-BP outperforms MRF-BP with 3–10 dB in terms of required SNR for 1% packet error rate in spatially correlated channel for 256-QAM. We also show that LRA-BP requires much lower complexity compared with MRF-BP. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11432-018-9637-5 | Science China Information Sciences |
Keywords | Field | DocType |
massive MIMO, MIMO detection, belief propagation, graph-based detection, lattice reduction, Markov random field | Control theory,Markov random field,Algorithm,Communication channel,MIMO,Modulation,Mathematics,Lattice reduction,Computational complexity theory,Bit error rate,Belief propagation | Journal |
Volume | Issue | ISSN |
62 | 4 | 1869-1919 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Senjie Zhang | 1 | 2 | 1.07 |
| He Zhi-qiang | 2 | 23 | 4.64 |
| Kai Niu | 3 | 561 | 86.80 |
| Shi Jin | 4 | 3744 | 274.70 |
| Hong Cheng | 5 | 703 | 65.27 |