Communications Towards the Speeds of Wireline Networks Free Space - - PowerPoint PPT Presentation
Communications Towards the Speeds of Wireline Networks Free Space - - PowerPoint PPT Presentation
Free Space Optical (FSO) Communications Towards the Speeds of Wireline Networks Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks FSO Basic Principle Connects using narrow beams two optical wireless
FSO Basic Principle
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- Connects using narrow beams two optical wireless transceivers
in line-of-sight.
- Light is transmitted from an optical source (laser or LED) trough
the atmosphere and received by a lens.
- Provides full-duplex (bi-directional) capability.
- 3 “optical windows”: 850 nm, 1300 nm, & 1550 nm.
- WDM can be used => 10 Gb/s (4x2.5 Gb/s)
- ver 1 Km & 1.28 Tb/s (32x40 Gb/s) over 210 m.
Why FSO ?
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- License-free
- Cost-effective
- Behind windows
- Fast turn-around time
- Suitable for brown-field
- Very high bandwidth (similar to fiber)
- Narrow beam-widths (point-to-point)
- Energy efficient
- Immune to interference
- High level of security
FSO Applications
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- Initially used for secure military as well as space applications
- Commercial use: Last mile solution, optical fiber back-up, high data rate
temporary links, cellular communication backhaul, etc …
FSO Challenges & Solutions
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- Additive noise (photo-detector) and background radiation (direct, scattered, and
reflected sun light) => sensitive detectors + filters + heterodyne detection
- Free space path loss => limited range
- Atmospheric losses (rain, snow, fog, aerosol gases, smoke, low cloud, sand storms,
etc …) => power control + mesh architecture + hybrid RF/FSO
- Atmospheric turbulences => space diversity
- Buildings swaying, motion, and vibrations => tracking systems
Commercial Deployment
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks Vendor Wavelength Data Rate Range (@ 10 dB/km) MIMO Hybrid RF/FSO Price Range (USD) fSONA (Canada) 1550nm Full Duplex with 2.5 Gbps 1 km No Yes RF: 150 Mbps (60–70 GHz) 8-12K LightPointe (USA) 850nm 1550nm Full Duplex with 1.25 Gbps 1.6 kms Yes (2 X 2) (4 X 4) Yes RF: 250 Mbps (5.4–5.8 GHz) 11-19K RedLine (South- Africa) 850nm Full Duplex with 1.25 Gbps 0.9 kms Yes (4 X 4) Yes RF: 250 Mbps (4.9–5.8 GHz) 15-24K
Deployment Example: Lasers for High-Speed Traders (CNN)
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
Characterization of the Scintillations
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- Frequency flat fading channel
- Channel coherence time: 10 μs and 100 ms
- Turbulence strength depends on Rytov variance/number (i.e.
distance and index of refraction structure)
- Turbulence regimes:
– Rytov number << 1 => Weak turbulence regime – Rytov number >> 1 => Strong turbulence regime
- Statistical models:
– Weak turbulence: Rice-Lognormal or Gamma-Gamma (Generalized K) – Strong turbulence: Exponential or Gamma-Gamma (Generalized K) – More generalized models: Double Gamma-Gamma or Malaga
Pointing Errors
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- Definition: Thermal expansion, dynamic wind loads, and weak
earthquakes result in the building sway phenomenon that causes vibration of the transmitter and the receiver known as pointing error.
- Effect on Communication (ξ): These pointing errors may lead to
an additional performance degradation and are a serious issue in urban areas, where the FSO equipments are placed on high-rise buildings.
- Model: The pointing error model developed and parameterized
by ξ which is the ratio between the equivalent beam radius and the pointing error jitter can be:
- With Pointing Error: ξ is any number between 0 through 7
- Without Pointing Error: ξ→ ∞
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- The general model reduces to special cases as follows
Generalized Pointing Errors Model
No misalignment Rayleigh Single sided Gaussian Hoyt Rician
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
Generalized Pointing Errors Model
- The fraction of collected power at the receiver can be
approximated by [Farid and Harilovic, IEEE/OSA JLT, 2007] with r = |r| = is random x2 +y2
On-Going Research Directions
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- Unified performance analysis accounting for type of detection,
weak/strong scintillations, and pointing errors.
- Computation of ergodic capacity over generalized FSO fading channels
– High SNR and low SNR bounds and approximations – Bounds and exact results for the capacity of diversity systems – Accurate approximations
- Average probability of error computations over generalized FSO fading
channels – Differentially coherent vs. coherent system performance – Asymptotic results (coding and diversity gains)
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions:
Ergodic Capacity Computation
- High SNR and Low SNR Results over FSO channels.
- Bounds on the Capacity of Selection Diversity Systems
- Exact Capacity Results for MRC and EGC Diversity Systems
- Approximate results using PDF approximation
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Asymptotic Analysis of Ergodic Capacity
Unified SNR Statistics
- Heterodyne Detection
- IM/DD
- Unified
with irradiance I = Ia Ip
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
Asymptotic Ergodic Capacity
,
- Recall that the irradiance I = Ia Ip and SNR g is proportional to Ir
- The asymptotic ergodic capacity can be obtained as [Yilmaz and Alouini,
SPAWC2012]
- We need to find the moments of Ia and then compute derivatives.
On-Going Research Directions: Ergodic Capacity Calculations under the Impact of Pointing Errors
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Asymptotic Analysis of Ergodic Capacity
Exact Closed-Form Moments
- I= Ia Ip = IR IL Ip where IR, IL, and IP are independent random processes
- Unified Rician Moments
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Asymptotic Analysis of Ergodic Capacity
Asymptotic Results
- High SNR
- Low SNR
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Asymptotic Analysis of Ergodic Capacity
Asymptotic Results
Figure: Ergodic capacity results for IM/DD technique and varying k at high SNR regime for RLN turbulence
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Ergodic Capacity Calculations under the Impact of Pointing Errors
Generalized Pointing Errors Model
- The fraction of collected power at the receiver can be
approximated by [Farid and Harilovic, IEEE/OSA JLT, 2007]
- Such that r = |r| = is Beckmann distributed RV
So x2 +y2
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
- The general model reduces to special cases as follows
On-Going Research Directions: Ergodic Capacity Calculations under the Impact of Pointing Errors
Generalized Pointing Errors Model
No misalignment Rayleigh Single sided Gaussian Hoyt Rician
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks
Asymptotic Ergodic Capacity
,
- The asymptotic ergodic capacity can be obtained as
- The moments of Ia are known for both lognormal (LN) and Gamma-
Gamma (ΓΓ). Then, the asymptotic capacity can be written as
On-Going Research Directions: Ergodic Capacity Calculations under the Impact of Pointing Errors
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks Figure: The ergodic capacity for composite log-normal channel (LN). (a) ξx = 6.7 and ξy = 5.1 (b) ξx = 6.7 and ξy = 0.9 (c) ξx = 0.8 and ξy = 0.9
Reference: H. Al-Quwaiee, H.-
- C. Yang, and M. -S. Alouini,
“On the Asymptotic Ergodic Capacity of FSO Links with Generalized Pointing Error Model”, Submitted to ICC’15.
On-Going Research Directions: Ergodic Capacity Calculations under the impact of pointing errors
Asymptotic Ergodic Capacity
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Average Probability of Error Computations
SER Performance of MPSK and MDPSK
- Symbol error rate performance of MPSK and MDPSK over
AWGN are given by [Pawula, TCOM’1999] and with
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Average Probability of Error Computations
Asymptotic SER Performance Comparison of MPSK and MDPSK
- Well known that MDPSK performs 3 dB worse than MPSK in the Rayleigh
fading channels when the SNR is asymptotically large [Ekanayake- TCOM’1990]
- Asymptotic SER performance of MDPSK with respect to MPSK over a
fading channel with diversity order t+1 ℎ 𝑢 ≜ 𝑡𝑗𝑜2𝜄 𝑢+1 𝑒𝜄.
𝜃𝜌
with and ,
- Asymptotic SER performance of MDPSK with respect to MPSK over
lognormal fading channel
Free Space Optical (FSO) Communications: Towards the Speeds of Wireline Networks On-Going Research Directions: Average Probability of Error Computations
Comparison of SER for MPSK and MDPSK in Lognormal Fading
Figure: Average SER of FSO using MPSK and MDPSK over weak turbulence Lognormal fading channels.
Reference: X. Song, F. Yang, J. Chengand M. -S. Alouini, “Asymptotic SER performance comparison of MPSK and MDPSK in fading channels ”, IEEE Wireless Comm Letters, 2014.
Summary and Next Steps ?
Concluding Remarks
Conclusion and Current Work
- Spectrum scarcity is becoming a reality
- This scarcity can be relieved through:
– Cognitive radio networks – Extreme bandwidth communication systems
- Analytical and fast simulation results can be used to perform
initial system level trade-offs
- On-going deployment and testing the capabilities of FSO
systems in hot & humid desert climate conditions.