Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Challenges and Impact of User-provided Networking Technology

Shivendra S. Panwar

Polytechnic Institute of NYU

Brooklyn, NY

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Some historical trends

• Computing: From (centralized) mainframes to (distributed) personal computing, but… browsers and cloud computing

• Network protocols: From (centralized) circuit-switching and SNA, to (end-to-end principle based) TCP/IP, but …. consider the complexity of Cisco’s IOS

• What about using user nodes or so-called “end systems” as Layer X forwarding nodes?

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

The last mile will soon not be a problem!

• Indeed, we may have an “all but the last mile problem”

• The spread of FTTX, 4G networks, IEEE 802.11n, femtocells

• Still some work (and monetary investment), but this is the trend

• This trend will further encourage user-based networking

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Good and bad user-provided networking

• ISP’s will encourage user-provided networking as long as they do not lose control

• P2P is generally bad, except when controlled by the ISP, then it is good

• WiFi is good if part of wireless carrier’s service; otherwise viewed as a competitor to 3G/4G

• Femtocells are by definition good!

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Some user-provided networking research projects at NYU-Poly

• VoD service on fiber to the home, using ISP controlled P2P technology; relieves traffic on backbone network

• FemtoHaul, a technique to use femtocells to relieve pressure on the cellular backhaul

• Cellular networks have poor coverage and data rates at their edges; cooperative two-hop relaying with distributed space time coding can double or triple cell capacity- Using other devices’ battery still an issue; security is not

an issue.

- Being considered in IEEE 802.16m, LTE Advanced, IEEE 802.11 standards

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

FTTX networks can provide VoD services to customers. The use of P2P technology on Set Top Boxes substantially reduces the traffic on the core network ring.

P2P for VoD on FTTX

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

FemtoHaul• Current 3G/4G base station capacity: ~ 100Mbps

• Four T1 lines typical for base station backhaul: ~ 6Mbps

• Increasing number of data intensive applications

• Adding backhaul infrastructure is very expensive (>15% of OPEX)

Base Station Backhaul

• Normal Scenario:• All data comes from

the base station backhaul

• FemtoHaul:• Obtain the data from

an access point (WiFi, Femtocell) through another device

FemtocellFemtocell

Backhaul

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Spatial multiplexing gain for cooperative MIMO

• The number of antennas integrated on portable devices is limited

• However, there might be several antennas at the base station

• Randomized processing provides a robust scheme for distributed cooperation

• Instead of diversity gain (Randomized Distributed Space Time Coding), can we achieve spatial multiplexing gain?

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Randomized Distributed Spatial Multiplexing

• Randomized Distributed Spatial Multiplexing (R-DSM) is based on the Bell Lab Layered Space Time (BLAST) scheme

• Assuming each mobile station equipped with only one antenna and base station has L antennas

• The channel capacity between the relays and the destinations scales linearly with min(N,L), where N is the number of relays

• How does R-DSM work in PHY?– Two-hop network: SISO transmission from source to relays first, followed

by relays transmitting together to the destination using R-DSM.

– Each relay independently generates a random coefficient and then transmits a weighted sum of the signals for each antennas in BLAST scheme

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Using cooperative R-DSM on the second hop

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Performance• Our results demonstrate that R-DSM scheme mimics a real MIMO

system

• Provides additional capacity when and where you need it

Wireless Internet Center for Advanced TechnologyNSF Industry/University Cooperative Research Center

Our Team• Multiple Poly faculty and students working on different

aspects– Erkip (PHY, MAC, Video, Security, Implementation)– Knox (PHY, Implementation) – Korakis (MAC, Video, Implementation)– Memon (Security)– Liu (MAC, Video, Implementation) – Panwar (PHY, MAC, Video, Security, Implementation)– Wang (PHY, MAC, Video, Implementation)

• Collaboration with industry• Funded by NSF, WICAT, CATT, Poly Angel Funds• See http://coop.poly.edu for more details