Briefly description about many existent proposals about the improvements to reach the 5G objectives using the C-RAN technology. Comparisons and characteristics of related works that aims 5G objectives.

1. C-RAN Architecture based on
SDN for 5G Mobile
Redes Convergentes – TP525
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2. Structure
I. Introduction.
II. Related Works.
a) Access Network Improvements.
b) Self and Aware Properties.
c) Cost-minimization.
d) Fronthaul and Backhaul improvements.
e) Interference minimization proposals.
f) Performance Evaluation, Improvement and comparisons.
g) Power and Energy efficient
III. Analysis over the course.
IV. Challenges and Objectives.
V. Conclusion.
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3. Introduction
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High Rates demand.
Improves system architecture.
Mobility.
Performance of Coverage.
Energy efficiency.
SDN + NFV

4. Structure
I. Introduction.
II. Related Works.
a) Access Network Improvements.
b) Self and Aware Properties.
c) Cost-minimization.
d) Fronthaul and Backhaul improvements.
e) Interference minimization proposals.
f) Performance Evaluation, Improvement and comparisons.
g) Power and Energy efficient
III. Analysis over the course.
a) Access Network Improvements.
b) Self and Aware Properties
IV. Challenges and Objectives.
V. Conclusion.
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5. Access Network Improvements
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ARTICLE CHARACTERISTICS PROS CONS
[1]
•Mobile Crowsensing (MCS)
• C-RAN + D2D.
• Solve the delay issue.
• MCS reduces the signaling overhead when compared
to deployed small cells.
• MCS acts as a means of enhancing the mobility
management
• Necessary to improve interference management.
•Problemof jointly optimizing resources in the
communication haul and access network.
[2] • UDN + Multi-RATs.
• Joint resource allocation.
• Mobility management.
• Traffic steering and service
mapping.
• Adverse interference, additional backhaul and mobility
management.
• Still need in-depth research, considering constrains of
the Hets FH links
[3]
• Multi-cell coordination Up/Down link.
•Significant gains by CoMP(Coordinated Multipoint)
techniques under ideal conditions.
• DPB identify and dynamically mute the principal
interferer(s) to the UEs.
• Is still an open problem define an explicit analytical
model for practical systems and evaluate its performance
against to realistic implementation limitations
[4]
• Cooperative hierarchical caching (CHC)
framework.
• Contents are jointly cached at the BBU and at the
RRHs.
•CHC yields up to 51 % improvement in cache hit ratio.
• 11 % decrease in average content access latency.
• 18 % reduction in BH traffic load compared to the edge-
only caching
scheme with the same total cache capacity.
• *.
[5] • Cluster Content Caching
• Redundant traffic on the backhaul can be reduced due to
the cluster content cache
provides a part of required content objects for remote
radio heads
• Improve QoS guarantees with a lower power cost of local
storage.
• *

6. Access Network Improvements
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7. Access Network Improvements
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8. Access Network Improvements
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9. Access Network Improvements
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10. Access Network Improvements
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11. Access Network Improvements
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12. Self and Aware Properties.
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ARTICLE CHARACTERISTICS PROS CONS
[1]
•Efficient C-RAN optical fronthaul
for the next-generation network
(NGN).
• Self-Organizing Network (SON)
• IT cloud computing technologies can be
leveraged by the NFV technologies so as to
transform telecom
networks to service oriented networks.
• NFV technologies can help in improving
operation with smart data analysis like smart
resource prediction and automatic resource
orchestration.
• SDN presents architectural evolution that
facilitates high flexibility and re-configurability in
the HetNet.
• Self-configuration, Self-optimization,Self-healing
•NFV system can be susceptible to
different security risks which demand
for daily observation and management
[2]
• Optimal allocation of
computational resources between
RRHs and BBUs.
• Decomposition model is
adopted.
• Is used two low complexity
heuristic algorithms.
• The computational resource requirements and
the power consumption of BBUs and the physical
machines decrease as the channel quality worsens
•The developed heuristic solution achieves a close
to optimal performance while having a lower
complexity.
• *

13. Self and Aware Properties.
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14. Other Related Works.
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a) Cost-minimization.
b) Fronthaul and Backhaul
improvements.
c) Interference minimization proposals.
d) Performance Evaluation,
Improvement and comparisons.
e) Power and Energy efficient

15. Analysis Over the course
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a) SDN.
b) NFV.
c) Autonomic Computing.
d) SOA.
How the exposed works relates
which them?

16. Mastery Program in
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