2013
DOI: 10.1017/cbo9781107337527
|View full text |Cite
|
Sign up to set email alerts
|

Introduction to MIMO Communications

Abstract: This accessible, self-contained guide contains everything you need to get up to speed on the theory and implementation of MIMO techniques. In-depth coverage of topics such as RF propagation, space-time coding, spatial multiplexing, OFDM in MIMO for broadband applications, the theoretical MIMO capacity formula and channel estimation will give you a deep understanding of how the results are obtained, while detailed descriptions of how MIMO is implemented in commercial WiFi and LTE networks will help you apply th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
156
0
5

Year Published

2015
2015
2022
2022

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 150 publications
(162 citation statements)
references
References 63 publications
1
156
0
5
Order By: Relevance
“…The denominator term, f (r r r 1 ) is omitted in (19) because it is independent of θ θ θ, and the constant C is also independent of θ θ θ. Hence, the Bayesian estimator of θ θ θ which is denoted here asθ θ θ B becomes:…”
Section: ) a Maximum Likelihood Criterion (Ml-t1)mentioning
confidence: 99%
See 1 more Smart Citation
“…The denominator term, f (r r r 1 ) is omitted in (19) because it is independent of θ θ θ, and the constant C is also independent of θ θ θ. Hence, the Bayesian estimator of θ θ θ which is denoted here asθ θ θ B becomes:…”
Section: ) a Maximum Likelihood Criterion (Ml-t1)mentioning
confidence: 99%
“…The channel estimation of SM is considered in [16], and energy efficiency of SM is studied in [17]. The performance of SMX systems has an even larger literature which includes some very early work in [5], [6] and some books [18], [19], [20]. The MIMO systems with interference are considered in [21], [22], [23], [24], [25] where focus has been primarily on SMX systems.…”
Section: Introductionmentioning
confidence: 99%
“…Now, consider a MIMO receiver. In its simple zero-forcing solution, it tries to recover each channel, interference-free, recombining the received signals through H + , the pseudo-inverse [2] of H.…”
Section: The Comparison Parametermentioning
confidence: 99%
“…Although the mathematical theory of MIMO (i.e. [2], [3]) holds for any system with more than one TX and/or RX (including polarization diversity), here we will use the acronym MIMO to refer to systems with antenna arrays on both the TX and RX sides, with suitable pre and post processing networks. Usually, such processing capabilities are adaptive, rely on channel estimation, and are typically implemented at the baseband digital stage.…”
Section: Introductionmentioning
confidence: 99%
“…In receiving section, the transmitted signals are detected and processed for serial to parallel conversion, cyclic prefix removal, and OFDM demodulation, parallel to serial conversion and decoded in Spatial multiplexing (SM) Decoding section to produce data in single channel. The retrieved data are multiplied with Walsh-Hadamard (WH) orthogonal codes and decopied, digitally demodulated, deinterleaved, channel decoded, binary to pixel integer converted and filtered to reconstruct frames for transmitted video frame retrieval [8][9][10]. In this section, computer simulations using MATLAB have been performed to evaluate the BER performance of a 4x4 multi antenna supported and implemented 2D median filtering for noise reduction in MC-CDMA wireless communication system based on the parameters presented in Table 1.…”
Section: System Descriptionmentioning
confidence: 99%