3. Evolution
1G
Analog Cellular systems
○ AMPS
2G
Digital Cellular systems
○ GSM, CDMA, CDMAone,
TDMA
2.5G
Voice and Data transmission
○ GPRS, HSCDS, TDMA,
CDMAone
3G
Broadband digital
○ W-CDMA, EDGE
4.
5. Wireless Networks
Centralized wireless networks:
nodes communicate with a base station or an access
point over single hop links
Wireless ad hoc networks:
End-to-end communication is carried over multiple hops
realized through intermediate nodes
Applications:
wireless mesh networks
wireless sensor networks
mobile networks
Attributes:
minimal configuration requirements
quick deployment
decentralized operation
6. Wireless Networks
Limited performance:
1. The end-to-end path consists of multiple concatenated unicast
links along specified nodes on a predetermined path. (errors
due to channel impairments caused by fading and mobility)
2. Failure of a link can make entire end-to-end path inoperable,
requiring route rediscovery and maintenance procedures
3. In case of harsh environmental conditions, the route discovery
phase needs repetition causing messaging burden, thereby
leading to wasted network bandwidth and degraded throughput
4. Routing messages are delivered by contending for the available
medium
5. Contention avoidance and resolution mechanisms also steal
from the network bandwidth that could otherwise be used for
data communication
6. As the network size is increased, the message overhead of
routing strategies is also increased, resulting in further
degradation in throughput and delayed performance
7.
8. Cooperative Networks
If each user devotes some of its resources to
relaying the transmissions it hears from other
users as well as to sending its own message,
message is received with higher reliability
because of multiple propagation paths
Cooperating users form a "virtual" antenna
array, from which there is a substantial spatial
diversity benefit.
Simple relaying schemes yield full spatial
diversity: each user's message experiences
performance as if it were sent from a physical
antenna array of the same size.
Result in novel and efficient distributed space-
time codes for networks
Equally applicable to cellular and ad-hoc
architectures
Slight violation of the traditional abstraction
rules that impose a separation of the physical,
link, and network layers.
11. Macro Cooperative Network
Architecture
Relay terminal can be fixed and is
installed by network operator
Relay terminal can be a mobile
terminal
For mobile relay terminal, packet
forwarding fairness and incentive
issues need to be taken into account
Transmission between relay terminal
and mobile terminal can be
implemented by
relays’ cooperative repetition
simultaneous transmission with space-
time coding
selection and dynamic relay
12. Composed of cellular mobile
network and nomadic wireless
network
Mobile terminal must be multi-
modality terminal – capable of
communication to both cellular link
with base station and short-range
link with peer terminals
Exchanged information between
mobile terminals is not simple
packets forwarding or relaying
What, how and when to exchange
the information between/among
mobile terminals depends on
the targeted cooperative scenario
the designed cooperative mechanism
Micro Cooperative Network
Architecture
14. Unicast Transport Unicast Service
(UU):
mobile ter-minals have individual unicast
services
services are transmitted by unicast
transports
Example:
Cooperative header exchange for robust
header compression in VoIP
Exchanging of compressed packet
header of voice packet can help
partner to immediately recover the
decoding reference when one voice
packet is lost
Micro Cooperative Scenario
Matrix
15. Unicast Transport Multicast
Service (UM)
Mobile terminals have multicast service
Service is transported by unicast link to
different terminals
Examples
Multiple De-scription Coding
(MDC)/Multiple Layer Coding (MLC)
video services or Peer-to-Peer services
fit this scenario
Micro Cooperative Scenario
Matrix
16. Multicast Transport ”Unicast”
Services (UM):
mobile terminals have individual varying
services
These services are transmitted in a
multicast/broadcast fashion
Example
DVB-H services are multicasted/
broadcasted over parallel elementary
streams
Micro Cooperative Scenario
Matrix
17. Multicast Transport Multicast
Service (MM):
the mobile terminals are interested in
the same multicast service
this service is transmitted by multicast
Example
Reliable cooperative local
retransmission
Micro Cooperative Scenario
Matrix
18.
19. Future Cooperative Networks
Evolving views of future heterogenuous wireless networks
Increasing need for
Density of nodes
Data throughput
Limiting factors
Available freq. spectrum
Available bandwidth
Room for improvement
Spectral efficiency
Link reliability
Aim – high data rates
20. Future Cooperative Networks
Cooperation between base stations and possibly also between
mobile user stations in micro- and femtocells
Multinode cooperation with the use of additional nodes acting as
relays in macrocells as well as in micro- and femtocells
Relaying concepts in wireless home networks