000 | a | ||
---|---|---|---|
999 |
_c29393 _d29393 |
||
008 | 200305b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781680839852 | ||
082 |
_a621.384 _bBJO |
||
100 | _aBjoÌrnson, Emil | ||
245 | _aMassive MIMO networks : spectral, energy, and hardware efficiency | ||
260 |
_bNow Publishers _c2018 _aHanover, USA |
||
300 |
_a509 p. _bill. _c24 cm. |
||
365 |
_b99.00 _cUSD _d75.10 |
||
490 | _aFoundations and trends in signal processing | ||
504 | _aIncludes bibliographical references | ||
520 | _aMassive multiple-input multiple-output (MIMO) is one of the most promising technologies for the next generation of wireless communication networks because it has the potential to provide game-changing improvements in spectral efficiency (SE) and energy efficiency (EE). This monograph summarizes many years of research insights in a clear and self-contained way and provides the reader with the necessary knowledge and mathematical tools to carry out independent research in this area. Starting from a rigorous definition of Massive MIMO, the monograph covers the important aspects of channel estimation, SE, EE, hardware efficiency (HE), and various practical deployment considerations. From the beginning, a very general, yet tractable, canonical system model with spatial channel correlation is introduced. This model is used to realistically assess the SE and EE, and is later extended to also include the impact of hardware impairments. Owing to this rigorous modeling approach, a lot of classic “wisdom” about Massive MIMO, based on too simplistic system models, is shown to be questionable. | ||
650 | _aMIMO systems | ||
650 | _aWireless communication systems | ||
650 | _aCellular Networks | ||
650 | _aMIMO Networks | ||
700 | _aHoydis, Jakob | ||
700 | _aSanguinetti, Luca | ||
942 |
_2ddc _cBK |