1 / 23

Buddy Routing: A Routing Paradigm for NanoNets Based on Physical Layer Network Coding

Buddy Routing: A Routing Paradigm for NanoNets Based on Physical Layer Network Coding. Ruiting Zhou+, Zongpeng Li+, Chuan Wu*, Carey Williamson+ + University of Calgary *University of Hong Kong. Outline. 1. Introduction to NanoNets 2. Enabling Buddy Routing

dena
Télécharger la présentation

Buddy Routing: A Routing Paradigm for NanoNets Based on Physical Layer Network Coding

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Buddy Routing: A Routing Paradigm for NanoNets Based on Physical Layer Network Coding RuitingZhou+, Zongpeng Li+, Chuan Wu*, Carey Williamson+ +University of Calgary *University of Hong Kong

  2. Outline • 1. Introduction to NanoNets • 2. Enabling Buddy Routing • 3. Theoretical Analysis • 4. Buddy Routing: Unicast • 5. Buddy Routing: Multicast • 6. Conclusion

  3. 1. Introduction to NanoNets • NanoNets • Collaborative Data Forwarding

  4. 1.1 NanoNets • NanoNets:Networks of nanomachines at extremely small dimensions -- on the order of nanometers or micrometers. • Basic computing and communication feasible on nanonodes. • Large network size and node density, low cost and available power.

  5. 1.2 Collaborative Data Forwarding • Group nanonodes into collaborating pairs: overcome power constraint, enhance the communication range and rate. • Enabled by physical layer network coding (PNC).

  6. 1.2 Collaborative Data Forwarding • Enabled by Amplify&Forward (A&F). • Intra-pair transmission: transmit an amplified version of the received analog signal:

  7. 2. Enabling Buddy Routing • PNC vs A&F: Multi-hop Transmission • PNC vs A&F: One-hop BER

  8. 2.1 PNC vs A&F: Multi-hop Transmission • PNC: Except at the source pair, no need for half-packet sharing. • A&F:Intra-pair sharing of a half-packet is required at each hop, an extra step of transmission. • lower end-to-end data throughput.

  9. 2.2 PNC vs A&F: One-hop BER • BER of PNC is almost the same as, but slightly worse than, that of A&F, under the same SNR at the receiver side.

  10. 3. Theoretical Analysis • System Model and Parameters • Capacity and Power Consumption

  11. 3.1 System Model and Parameters • MAC layer protocol: TDMA • Two types of time slots: • Long time slot : long-hop data transmission happen simultaneously every three hops • Short time slot: all the intra-pair short hops transmit simultaneously

  12. 3.2 Capacity and Power Consumption • We analyzed the end-to-end routing capacity of a BR route at very high SNR with and without noise considered. • The extra power consumption overhead caused by BR is below 20%. • The capacity is increased by a factor of 2.

  13. 4. Buddy Routing: Unicast • BR Unicast Routing Algorithm • Simulation

  14. 4.1 BR Unicast Algorithm • Step 1: Pair-to-pair greedy geographic unicast routing. • Forwarding process: it looks for a next-hop pair between the two co-axial circles of radius and , which is closest to the destination. • If the last pair is too close to the destination, replaced by a new pair such that the distance between the new pair and the destination is just larger than . • and are the minimum and maximum allowed distances between two neighbor buddy pairs.

  15. 4.1 BR UnicastAlgorithm • Radius of red circle is the maximum distance between a pair of buddy nodes. • When Pair 70 looks for the next hop towards the destination, it can only search the area in the blue ring.

  16. 4.1 BR UnicastAlgorithm • Step 2: Iterative MAC layer optimization. • Adjust time slot: so that the capacity in each time slot is equal. • Inter-pair power optimization: adjust the long hop transmission power — achieve equal capacity at bottleneck link & 2 neighbor links. • Intra-pair power optimization: adjust the short hop transmission power —achieve equal capacity at bottleneck pair & 2 neighbor pairs.

  17. 4.1 BR Unicast Algorithm • End-to-end throughput is doubled after the iterative power/MAC optimization

  18. 4.2 Simulation • BR Unicast, end-to-end throughput comparison, different x-axis. • Throughput of BR after optimization is almost twice that of point-to-point routing

  19. 5. Buddy Routing: Multicast • The Multicast BR Gadget • BR Multicast Tree

  20. 5.1 The Multicast BR Gadget • Multicast: has branches in the transmission topology. • Replicate a data packet from an upstream node pair to two pairs.

  21. 5.2 BR Multicast Tree • One-to-four multicast

  22. 6. Conclusion • We proposed a new PNC-based routing paradigm, Buddy Routing, for NanoNets. • BR has a potential to break through the nodal power limit in NanoNets. • It can substantially improve the unicast and multicast throughput, as verified by our theoretical analysis and simulation results

  23. Thanks! • Questions?

More Related