The road towards heterogeneous & dense
wireless networks: the CROWD perspective
CROSSFIRE 2nd plenary meeting, July 2, 201...
Outline
 The problem (capacity demands)
 The solution (many & small cells)
 The problem with the solution (do more with...
OK, you know this already
3
Traffic
Revenues
Data eraVoice era
Big deal! Or maybe, big deal?
 Need more capacity for your traffic?
 Come on, can’t you just wait for upcoming LTE, LTE-...
Whoops
 As a matter of fact, we don’t need new technologies
at all
 Radio access technology is (largely!)
overprovisione...
The Past
 OK, not so much in the past…
Good ol’ GSM
 Launched in 1991
 Killer apps: voice, text messages
Good ol’ GSM
 Launched in 1991
 Killer apps: voice, text messages
 Skype 2003
 Gtalk 2005
 Twitter 2006
 Whatsapp 20...
UMTS
 Launched on 2001
 Killer apps: sending pictures, location-based services
UMTS
 Launched on 2001
 Killer apps: sending pictures, location-based services
 iPhone 2007
 Foursquare 2009
 Google ...
The bottom line is
 Telecom industry used to work this way:
1. Understand what you can do with state-of-the-art
hardware ...
BUT
 Theoretical capacity is already there
BUT
 Actual capacity is not always where the user wants it
to be (i.e., close...
Summary
 We have demands from market/users TODAY
 We have technology supporting those demands
TODAY
 UNFORTUNATELY, we ...
Conclusion: we need a
change of paradigm
Starting point
 Only way forward:
 deploy lots of access points operating efficiently in a
sustainable manner
 Sustaina...
Let’s start with some good news
 Theoretical (refreshing) result:
 at a given SINR, adding more tiers and/or BSs neither...
Evolution of cellular network topology
– Grid
17
Dhillon et al., Modeling and Analysis of K-Tier Downlink
Heterogeneous Ce...
Evolution of cellular network topology
– Actual 4G
18
Evolution of cellular network topology
– PPP macro-only
19
Evolution of cellular network topology
– Actual macro + PPP
20
Evolution of cellular network topology
– PPP all
21
Corollary (false, though)
 Corollary 1. We can scale down any wireless
network to achieve arbitrarily high capacity per u...
Problem #1
23
Feasible area
Desired area
Efficiency
Cost
Problem #2
 As the capacity of wireless cells increases,
backhauling becomes a bottleneck
24
€ € € €
Solution
 Do more with less, or
 To run complex optimisation on resource-limited base
stations
 Hey, I have already hea...
Solution
 Do more with less, or
 To run complex optimisation on resource-limited base
stations
 Hey, I have already hea...
CROWD
 The concept can be realised in wireless networks, with a
few changes
 What you get is:
Software
Defined
Network
(...
Facts
 Title: Connectivity management for enerRgy
Optimised Wireless Dense networks
 Call identifier: FP7-ICT-2011-8 (gr...
Scope
29
Goal
 To enable sustainable deployment of very dense and
heterogeneous wireless networks (DenseNets)
 Sustainable =
 Co...
Scenario 1
31
Scenario 1 (cont’d)
32
Scenario 2
33
SDN approach
34

Proposed architecture
35
CROWD Local Controller
36
CROWD Regional Controller
37
Connectivity management
38
Standardisation: OmniRAN
39
• Centrally controlled
configuration, from Core to
Terminal, of heterogeneous IEEE
802 links
•...
Standardisation: OmniRAN
40
Terminal
Internet
Core
Operator A
Core Operators
Core
Operator B
Core
Operator C
Access Networ...
Contacts
My name: Claudio Cicconetti
My affiliation: INTECS S.p.A.
My email: claudio.cicconetti@intecs.it
My bio: about.me...
Upcoming SlideShare
Loading in …5
×

The Road towards Wireless Dense & Heterogeneous Networks: The CROWD Perspective

1,002 views

Published on

Speech given by Claudio Cicconetti at the CROSSFIRE 2nd plenary meeting at SUPELEC, Gif-Sur-Yvette, Paris, France

Published in: Technology, Business
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,002
On SlideShare
0
From Embeds
0
Number of Embeds
5
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

The Road towards Wireless Dense & Heterogeneous Networks: The CROWD Perspective

  1. 1. The road towards heterogeneous & dense wireless networks: the CROWD perspective CROSSFIRE 2nd plenary meeting, July 2, 2013 – Paris Speech by Claudio Cicconetti (Intecs)
  2. 2. Outline  The problem (capacity demands)  The solution (many & small cells)  The problem with the solution (do more with less)  CROWD, a.k.a. the solution   Scenarios  Architecture  SDN approach  Standardisation 2
  3. 3. OK, you know this already 3 Traffic Revenues Data eraVoice era
  4. 4. Big deal! Or maybe, big deal?  Need more capacity for your traffic?  Come on, can’t you just wait for upcoming LTE, LTE- A, LTE++, LTEx-super-WOW? 4
  5. 5. Whoops  As a matter of fact, we don’t need new technologies at all  Radio access technology is (largely!) overprovisioned:  IEEE 802.11n: easily 100 Mb/s, can be 300 Mb/s  HSPA+: up to 84 Mb/s  LTE: up to 300 Mb/s  Let’s not even mention LTE-A!  Then the question is: what do we need?  To answer that let’s have a look to the past 5
  6. 6. The Past  OK, not so much in the past…
  7. 7. Good ol’ GSM  Launched in 1991  Killer apps: voice, text messages
  8. 8. Good ol’ GSM  Launched in 1991  Killer apps: voice, text messages  Skype 2003  Gtalk 2005  Twitter 2006  Whatsapp 2009
  9. 9. UMTS  Launched on 2001  Killer apps: sending pictures, location-based services
  10. 10. UMTS  Launched on 2001  Killer apps: sending pictures, location-based services  iPhone 2007  Foursquare 2009  Google latitude 2009  Instagram 2010
  11. 11. The bottom line is  Telecom industry used to work this way: 1. Understand what you can do with state-of-the-art hardware / RF  push technology (also requires standards) 2. Money invested will eventually come back when somebody finds how to use the technology actually very good at that many success stories
  12. 12. BUT  Theoretical capacity is already there BUT  Actual capacity is not always where the user wants it to be (i.e., close to him/her) HENCE  NO NEED for a technology push  the network is already adapting to what the users want NOW  densification of wireless networks
  13. 13. Summary  We have demands from market/users TODAY  We have technology supporting those demands TODAY  UNFORTUNATELY, we just can’t continue to deploy new base stations since that would break the spell  we have a problem TODAY backhauling constraints, control protocols do not scale well, growth is not economically viable, etc.
  14. 14. Conclusion: we need a change of paradigm
  15. 15. Starting point  Only way forward:  deploy lots of access points operating efficiently in a sustainable manner  Sustainable = cost-effective  hardware must be simple  operation must be energy-efficient  Efficient operation = continuous optimisation  control must be complex
  16. 16. Let’s start with some good news  Theoretical (refreshing) result:  at a given SINR, adding more tiers and/or BSs neither increases nor decreases the probability of coverage or outage when all the tiers have the same target-SINR 16 Dhillon et al., Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks, JSAC, 2012
  17. 17. Evolution of cellular network topology – Grid 17 Dhillon et al., Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks, JSAC, 2012
  18. 18. Evolution of cellular network topology – Actual 4G 18
  19. 19. Evolution of cellular network topology – PPP macro-only 19
  20. 20. Evolution of cellular network topology – Actual macro + PPP 20
  21. 21. Evolution of cellular network topology – PPP all 21
  22. 22. Corollary (false, though)  Corollary 1. We can scale down any wireless network to achieve arbitrarily high capacity per unit of area  Proof. Based on the theoretical results above cited, interference never gets worse because of neighbors as we add more and smaller cells. Q.E.D.  Too bad that’s not the case…  Why? Remember 22
  23. 23. Problem #1 23 Feasible area Desired area Efficiency Cost
  24. 24. Problem #2  As the capacity of wireless cells increases, backhauling becomes a bottleneck 24 € € € €
  25. 25. Solution  Do more with less, or  To run complex optimisation on resource-limited base stations  Hey, I have already heard that. Any idea? 25
  26. 26. Solution  Do more with less, or  To run complex optimisation on resource-limited base stations  Hey, I have already heard that. Any idea?  Of course, cloud-based mobile apps!  For instance, speech recognition works very well (usually) 26
  27. 27. CROWD  The concept can be realised in wireless networks, with a few changes  What you get is: Software Defined Network (for wireless)  This is explored in CROWD in the context of DenseNets 27
  28. 28. Facts  Title: Connectivity management for enerRgy Optimised Wireless Dense networks  Call identifier: FP7-ICT-2011-8 (grant no. 318115)  Start: 1/1/13  End: 30/6/15 (duration 30 months)  Total cost: 4,460 k€  Total funding: 2,978 k€  Total effort: 443 PM 28
  29. 29. Scope 29
  30. 30. Goal  To enable sustainable deployment of very dense and heterogeneous wireless networks (DenseNets)  Sustainable =  Cost effective  Energy efficient  Very dense =  1000x compared to current density (in users/sqm vs. users/BS)  Heterogeneous =  Different range (macro vs. pico vs. femto)  Different technologies (LTE vs. WiFi)  Different deployments (planned vs. unplanned)  Different backhauls (optical vs. wireless) 30
  31. 31. Scenario 1 31
  32. 32. Scenario 1 (cont’d) 32
  33. 33. Scenario 2 33
  34. 34. SDN approach 34 
  35. 35. Proposed architecture 35
  36. 36. CROWD Local Controller 36
  37. 37. CROWD Regional Controller 37
  38. 38. Connectivity management 38
  39. 39. Standardisation: OmniRAN 39 • Centrally controlled configuration, from Core to Terminal, of heterogeneous IEEE 802 links • Dynamic creation of data paths with dynamic reconfiguration and mapping to the terminal at flow granularity • Clean separation of data and control planes A. de la Oliva et al., SDN-based OmniRAN Use Cases Summary, 2013.
  40. 40. Standardisation: OmniRAN 40 Terminal Internet Core Operator A Core Operators Core Operator B Core Operator C Access Network Operator Backhaul SDN Controller Data path Control path Access 1 Access 3 Access 2 Access Abstraction Access Abstraction Access Abstraction • Multiple Cores sharing Access Network • Access Abstraction • Data and Control plane separation • Central control Access Abstraction A. de la Oliva et al., SDN-based OmniRAN Use Cases Summary, 2013.
  41. 41. Contacts My name: Claudio Cicconetti My affiliation: INTECS S.p.A. My email: claudio.cicconetti@intecs.it My bio: about.me/ccicconetti My twitter channel: @ccicconetti My ongoing project: www.ict-crowd.eu @FP7CROWD Scan this (if you can)

×