| 000 | 03427nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-43715-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220801215533.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160805s2017 sz | s |||| 0|eng d | ||
| 020 |
_a9783319437156 _9978-3-319-43715-6 |
||
| 024 | 7 |
_a10.1007/978-3-319-43715-6 _2doi |
|
| 050 | 4 | _aTK5101-5105.9 | |
| 072 | 7 |
_aTJK _2bicssc |
|
| 072 | 7 |
_aTEC041000 _2bisacsh |
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| 072 | 7 |
_aTJK _2thema |
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| 082 | 0 | 4 |
_a621.382 _223 |
| 100 | 1 |
_aYang, Howard H. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _944978 |
|
| 245 | 1 | 0 |
_aMassive MIMO Meets Small Cell _h[electronic resource] : _bBackhaul and Cooperation / _cby Howard H. Yang, Tony Q.S. Quek. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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| 300 |
_aIX, 61 p. 15 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 |
|
| 505 | 0 | _aIntroduction -- Massive MIMO for Interference Suppression: Cell-Edge Aware Zero Forcing -- Massive MIMO in Small Cell Networks: Wireless Backhaul -- Conclusions. | |
| 520 | _aThis brief explores the utilization of large antenna arrays in massive multiple-input-multiple-output (MIMO) for both interference suppression, where it can improve cell-edge user rates, and for wireless backhaul in small cell networks, where macro base stations can forward data to small access points in an energy efficient way. Massive MIMO is deemed as a critical technology for next generation wireless technology. By deploying an antenna array that has active elements in excess of the number of users, massive MIMO not only provides tremendous diversity gain but also powers new aspects for network design to improve performance. This brief investigates a better utilization of the excessive spatial dimensions to improve network performance. It combines random matrix theory and stochastic geometry to develop an analytical framework that accounts for all the key features of a network, including number of antenna array, base station density, inter-cell interference, random base station deployment, and network traffic load. The authors explore the impact from different network parameters through numerical analysis. Researchers in wireless network design will find this to be an exceptional resource, as will advanced-level students or professionals working in networking and information systems design. . | ||
| 650 | 0 |
_aTelecommunication. _910437 |
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| 650 | 0 |
_aComputer networks . _931572 |
|
| 650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
| 650 | 2 | 4 |
_aComputer Communication Networks. _944979 |
| 700 | 1 |
_aQuek, Tony Q.S. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _944980 |
|
| 710 | 2 |
_aSpringerLink (Online service) _944981 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319437132 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319437149 |
| 830 | 0 |
_aSpringerBriefs in Electrical and Computer Engineering, _x2191-8120 _944982 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-43715-6 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c77594 _d77594 |
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