Name
Title | ||
|---|---|---|
Large-System Analysis of Base Cooperation and Artificial Noise for Secure Transmission in Multi-cell Massive MIMO Systems |
Abstract | ||
|---|---|---|
In this paper, we study the problem of secure transmission in the downlink of a multi-cell massive multiple-input multiple-output (MIMO) system, where pilot contamination is considered due to non-orthogonal uplink training sequence. The channel state information (CSI) of the eavesdropper is assumed to be unavailable at the base station (BS) and hence, the BS cooperation and an artificial noise(AN) are investigated for secrecy enhancement. Based on regularized channel inversion (RCI), we derive a closed-form expression for ergodic secrecy sum rate in the large-system regime, in which the number of users per cell K, the number of antenna at BS N and the number of antenna at eavesdropper N
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tend to infinity. Our analysis shows that the secrecy sum-rate saturates at high signal-to-noise ratio (SNR) with BSs cooperation and AN under pilot contamination. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ComComAp46287.2019.9018801 | 2019 Computing, Communications and IoT Applications (ComComAp) |
Keywords | DocType | ISBN |
system analysis,base cooperation,artificial noise,secure transmission,multicell massive MIMO systems,multicell massive multiple-input multiple-output system,pilot contamination,nonorthogonal uplink training sequence,channel state information,base station,BS cooperation,regularized channel inversion,ergodic secrecy sum rate,large-system regime,secrecy sum-rate saturates,high signal-to-noise ratio,BSs cooperation | Conference | 978-1-7281-1974-8 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Bai | 1 | 0 | 1.01 |
| Tao Dong | 2 | 0 | 0.68 |
| Qin Zhang | 3 | 3 | 1.09 |
| Shiqiang Wang | 4 | 0 | 0.34 |