PMID- 36236281
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221019
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 22
IP  - 19
DP  - 2022 Sep 22
TI  - Analysis of OSTBC-OFDM Combined with Dual-Polarization and Time-Diversity in 
      Millimeter-Wave MIMO Channels with Rain Distortions.
LID - 10.3390/s22197182 [doi]
LID - 7182
AB  - Various destructive weather and physical phenomena affect many parameters in the 
      radio layer (i.e., affecting the wireless paths Over-The-Air (OTA)) of many 
      outdoor-to-outdoor wireless systems. These destructive effects create 
      polarization torsion and rotation of the signals propagating in space and cause 
      the scattering of wireless spatial paths. The direct meaning is a significant 
      degradation in system performance, especially in the Quality-of-Service (QoS). 
      Under these challenging scenarios, intelligent utilization of advanced 
      Multiple-Input-Multiple-Output (MIMO) techniques such as polarization-diversity 
      and time-diversity at the transmitter, as well as at the receiver, and 
      intelligent use of the Cross-Polarization-Isolation (XPI) mechanism, are 
      essential. We prove that combining these techniques with the tuning of the XPI of 
      the antennas creates optimal conditions in the wireless MIMO channels. This 
      combination does not only improve the system's performance, but also turns the 
      destructive physical phenomena in the spatial-domain, into an advantage. In this 
      article, we focus on formulating a wireless communication MIMO model in 
      millimeter-Wave (mmWave) channels under rain distortions. We demonstrate the 
      optimal use of combining Orthogonal-Space-Time-Coding (OSTBC) and 
      Maximal-Ratio-Receive-Combiner (MRRC) with cross-polarization diversity 
      techniques, that utilize the tuning of the XPI. An analytical exact optimal 
      solution is proposed, that allows the tuning of the leading parameters to achieve 
      global optimal performance, in terms of channel-capacity and Bit-Error-Rate 
      (BER). In addition, we propose a process of approximation of 
      feedback-closed-loop-MIMO. The feedback is employed between the transmitter and 
      the receiver, in the scenario of changes in the channel-response-matrix 
      in-between successive symbol-times. The feedback was designed to acheive 
      global-maximum channel-capacity, while preserving the channel-path orthogonality 
      in order to minimize the BER.
FAU - Elgam, Avner
AU  - Elgam A
AUID- ORCID: 0000-0002-4387-0669
AD  - Faculty of Engineering, Ariel University, Ariel 40700, Israel.
FAU - Peretz, Yossi
AU  - Peretz Y
AD  - Department of Computer Sciences, Lev Academic Center, Jerusalem College of 
      Technology, Jerusalem 9372115, Israel.
FAU - Pinhasi, Yosef
AU  - Pinhasi Y
AUID- ORCID: 0000-0001-6887-8571
AD  - Faculty of Engineering, Ariel University, Ariel 40700, Israel.
LA  - eng
PT  - Journal Article
DEP - 20220922
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
PMC - PMC9572720
OTO - NOTNLM
OT  - MIMO diversity techniques
OT  - XPI mechanism
OT  - mmWave wireless communication systems
OT  - rain distortion
COIS- The authors declare no conflict of interest.
EDAT- 2022/10/15 06:00
MHDA- 2022/10/15 06:01
PMCR- 2022/09/22
CRDT- 2022/10/14 02:35
PHST- 2022/09/04 00:00 [received]
PHST- 2022/09/15 00:00 [revised]
PHST- 2022/09/19 00:00 [accepted]
PHST- 2022/10/14 02:35 [entrez]
PHST- 2022/10/15 06:00 [pubmed]
PHST- 2022/10/15 06:01 [medline]
PHST- 2022/09/22 00:00 [pmc-release]
AID - s22197182 [pii]
AID - sensors-22-07182 [pii]
AID - 10.3390/s22197182 [doi]
PST - epublish
SO  - Sensors (Basel). 2022 Sep 22;22(19):7182. doi: 10.3390/s22197182.