DocumentCode :
50060
Title :
Reachback WSN Connectivity: Non-Coherent Zero-Feedback Distributed Beamforming or TDMA Energy Harvesting?
Author :
Alexandris, Konstantinos ; Sklivanitis, George ; Bletsas, Aggelos
Author_Institution :
Telecom Lab., Tech. Univ. of Crete, Chania, Greece
Volume :
13
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
4923
Lastpage :
4934
Abstract :
This work is motivated by the reachback connectivity scenario in resource-constrained wireless sensor networks (WSNs): a single terminal at maximum power cannot establish a reliable communication link with the intended destination. Thus, neighboring distributed transmitters should contribute their radios and transmission power, in order to achieve reliable transmission of a common message. This work is particularly interested in low-SNR scenarios with unreliable feedback channels, no channel state information (CSI), and commodity radios, where carrier phase/frequency synchronization is not possible. Concrete non-coherent maximum likelihood and energy detection receivers are developed for zero-feedback distributed beamforming. The proposed receivers are compared with non-coherent energy harvesting reception, based on simple time-division multiple access. It is shown that the proposed zero-feedback distributed beamforming receivers overcome connectivity adversities at the low-SNR regime. This is achieved by exploiting signals´ alignment of M distributed transmitters (i.e., beamforming), even with commodity radios, at the expense of network (total) power consumption. Application scenarios include resource-constrained WSNs or emergency radio situations.
Keywords :
array signal processing; energy harvesting; maximum likelihood estimation; radio receivers; radio transmitters; telecommunication network reliability; telecommunication power management; time division multiple access; wireless sensor networks; TDMA energy harvesting; communication link; concrete noncoherent maximum likelihood receivers; emergency radio situations; energy detection receivers; low-SNR scenarios; neighboring distributed transmitters; network power consumption; noncoherent zero-feedback distributed beamforming; reachback WSN connectivity; resource-constrained WSN; resource-constrained wireless sensor networks; time-division multiple access; transmission power; unreliable feedback channels; Array signal processing; Bit error rate; Radio transmitters; Receivers; Signal to noise ratio; Vectors; Wireless sensor networks; Non-coherent receivers; reachback connectivity; wireless sensor networks; zero-feedback beamforming;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2330295
Filename :
6832627
Link To Document :
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