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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tianyang Bai Heath, R.W. |
| Copyright Year | 2015 |
| Description | Author affiliation: Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX, USA (Tianyang Bai; Heath, R.W.) |
| Abstract | Thanks to the small wavelength at millimeter wave (mmWave) frequency, it is promising to combine massive multiple-input and multiple-output (MIMO) with mmWave. MmWave massive MIMO will differ from the conventional massive MIMO, due to the differences in propagation and hardware constraints. This paper proposes a stochastic geometry framework for evaluating the performance in large-scale mmWave massive MIMO networks. Based on the system model, analytical expressions are provided for the asymptotic signal-to-interference-plus-noise ratio (SINR) distributions in both uplink and downlink, when the number of base station antennas goes to infinity. Numerical results indicate a fast convergence in the SINR distribution to its asymptotic equivalence in dense mmWave networks. A comparison with conventional massive MIMO shows that mmWave massive MIMO achieves a higher cell throughput with sufficiently dense deployments. |
| Starting Page | 620 |
| Ending Page | 624 |
| File Size | 225343 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479919314 |
| DOI | 10.1109/SPAWC.2015.7227112 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-28 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal to noise ratio Interference MIMO Base stations Downlink Uplink Array signal processing |
| Content Type | Text |
| Resource Type | Article |
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