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This project explores the benefits of cooperative Multiple-Input-Multiple-Output (MIMO) techniques in sensor networks for long-range transmission energy efficiency. It compares non-cooperative and cooperative transmission strategies, discussing diversity gain, spatial multiplexing, and circuit energy consumption. The study analyzes the impact of local data exchange on transmission energy and concludes that cooperative schemes are more energy-efficient in long-haul transmission scenarios.
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EE392WProject Presentation Cooperative MIMO Techniques in Sensor Networks Yifan Liang yfl@systems.stanford.edu 03/08/2005 Wireless Systems Lab Stanford University
Target Problem Receiver node Transmitter node Assisting node OBJECTIVE: ENERGY EFFICIENCY THE BEST TRANSMISSION STRATEGY?
Outline • Non-cooperative Transmission • Cooperative Transmission • Diversity Gain • Spatial Multiplexing • Conclusion • Cooperative scheme more energy efficient in the long-range transmission
Outline • Non-cooperative Transmission • Cooperative Transmission • Diversity Gain • Spatial Multiplexing • Conclusion • Cooperative scheme more energy efficient in the long-range transmission
Non-Cooperative Transmission No use of assisting nodes
Non-Cooperative Transmission No use of assisting nodes Transmitter nodes: TDMA Node in active transmission Node in the waiting list
Non-Cooperative Transmission No use of assisting nodes Transmission Completed Transmitter nodes: TDMA Node in active transmission Node in the waiting list
Non-Cooperative Transmission No use of assisting nodes Transmission Completed Transmitter nodes: TDMA Node in active transmission Node in the waiting list
Non-Cooperative Transmission No use of assisting nodes Transmission Completed Transmitter nodes: TDMA Node in active transmission Node in the waiting list
Non-Cooperative Transmission No use of assisting nodes Transmission Completed Transmitter nodes: TDMA Node in active transmission Node in the waiting list
Non-Cooperative Transmission • No use of assisting nodes • Transmitter nodes work in a TDMA manner • Only one node in active transmission at any time • Call it a Single-Input-Single-Output (SISO) scheme • Energy consumption analysis • Transmission energy • Circuit Energy
System Blocks TX SYN BPF DAC LPF Mixer PA Wireless Link BPF LNA ADC IFA BPF Mixer AAF SYN RX
System Blocks TX Circuitry Transmission Energy Ect = Pct * Ton PA Wireless Link Ec = (Mt * Pct + Mr * Pcr) * Ton Ecr = Pcr * Ton RX Circuitry
Transmission Energy Block Rayleigh Fading + Tx Rx Square-Law Path loss Et Es ~ Et/d2 BER Transmit energy With fading & noise Average over distribution of SNR Average receive energy; Only considers path loss
Outline • Non-cooperative Transmission • Cooperative Transmission • Diversity Gain • Spatial Multiplexing • Conclusion • Cooperative scheme more energy efficient in the long-range transmission
Cooperative Transmission h11 • Channel Model • Similar to SISO • Vector input/output • Channel gain matrix • Assume a simple case • Two transmit nodes • One receive node • One assisting node • Multiple-Input-Multiple-Output (MIMO) y1 x1 h12 h21 y2 x2 h22
Compare MIMO with SISO • Pros • Reduced transmission energy due to higher SNR • Cons • Increased circuit energy consumption • Local data exchange: overhead
Outline • Non-cooperative Transmission • Cooperative Transmission • Diversity Gain • Spatial Multiplexing • Conclusion • Cooperative scheme more energy efficient in the long-range transmission
Cooperation for Diversity Gain • Basic idea • Tx side: The same symbol is sent through each node • Rx side: Combine multiple copies of the same symbol • Motivation for diversity • It is unlikely all links experience deep fading at the same time
Cooperation for Diversity Gain • Alamouti Scheme • Local data exchange necessary at Tx • Data rate R = 1 Transmission Sequence …… x1 (1) -x2* (1) x1 (2) -x2* (2) …… x1* (1) x1* (2) x2 (1) x2 (2)
Cooperation for Diversity Gain • Transmission Timeline Transmission Sequence N1 data y1 data N2 data y1/y2 joint DEC Tx Local Data Exchange Long Haul Transmission Rx Local Data Exchange
Compare MIMO with SISO • Increased circuit energy consumption • Local data exchange: overhead • Reduced long-haul transmission energy • Higher SNR
Transmission Energy Block Rayleigh Fading + Tx Rx Square-Law Path loss Et Es ~ Et/d2 BER Transmit energy With fading & noise Average over distribution of SNR Average receive energy; Only considers path loss
Long-haul Received SNR • Received SNR • Es: signal power • No: noise power • Mt: number of Tx nodes • Chi-squared r.v, degrees of freedom 2MtMr
Compare SISO with MIMO Long haul Transmission Energy BER = 1e-3 Long haul Circuit Energy
Compare SISO with MIMO Long-haul total energy BER = 1e-3 Total energy include local overhead BER = 1e-3
Outline • Non-cooperative Transmission • Cooperative Transmission • Diversity Gain • Spatial Multiplexing • Conclusion • Cooperative scheme more energy efficient in the long-range transmission
Cooperation for Diversity Gain • Alamouti Scheme • Local data exchange necessary at Tx • Data rate R = 1 Transmission Sequence …… x1 (1) -x2* (1) x1 (2) -x2* (2) …… x1* (1) x1* (2) x2 (1) x2 (2)
Cooperation for Spatial Multiplexing • No local data exchange at Tx • Increased data rate R = 2 • Reduced transmission time Transmission Sequence …… x1 (1) x1 (2) x1 (3) x1 (4) …… x2 (1) x2 (2) x2 (3) x2 (4)
Cooperation for Spatial Multiplexing • Transmission Timeline Transmission Sequence y1 data y1/y2 joint DEC NO Tx Local Data Exchange Long Haul Transmission Rx Local Data Exchange
Long-haul Received SNR • ZF receiver • Requires Mr >= Mt • Received SNR • Es: signal power • No: noise power • Mt: number of Tx nodes • Mr: number of Rx nodes
Compare SISO with MIMO Total energy consumption Mt = Mr = 2 Total energy consumption Mt = 2 Mr = 3
Conclusions • Cooperative vs. non-cooperative scheme • Saves transmission energy • Consumes more circuit energy • Local data exchange an overhead • Preferable in the long-range transmission • Spatial Diversity vs. Multiplexing • Multiplexing scheme only beats SISO when Mr>Mt • For fixed (Mt, Mr), diversity scheme edges out • More energy saving not guaranteed with more collaborative nodes
A big THANK YOUto Prof. Aghajan, Sumanth Jagannathan and all fellow 392W students!