Timing Synchronization in Distributed Mobile MISO Rayleigh Fading Channels

Kleider, J.E.; Maalouli, G.; Ma, Xiaoli

doi:10.1109/milcom.2007.4454926

Cited by 4 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Information is transmitted from the sender node by multiple antennas and received by multiple antennas at the receiver node [15], [16]. The close proximity of the antennas at the transmitting nodes and of the antennas at the receiving nodes makes synchronization easier to implement [17]. The ability of nodes to sense the carrier and to measure the interference level can be used to decide on the number of antennas that are employed for transmission.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient Protocol for Cooperative Networks

El‐Hawary

Haas

2011

IEEE/ACM Trans. Networking

View full text Add to dashboard Cite

Abstract-In cooperative networks, transmitting and receiving nodes recruit neighboring nodes to assist in communication. We model a cooperative transmission link in wireless networks as a transmitter cluster and a receiver cluster. We then propose a cooperative communication protocol for establishment of these clusters and for cooperative transmission of data. We derive the upper bound of the capacity of the protocol, and we analyze the end-to-end robustness of the protocol to data-packet loss, along with the tradeoff between energy consumption and error rate. The analysis results are used to compare the energy savings and the end-to-end robustness of our protocol with two non-cooperative schemes, as well as to another cooperative protocol published in the technical literature. The comparison results show that, when nodes are positioned on a grid, there is a reduction in the probability of packet delivery failure by two orders of magnitude for the values of parameters considered. Up to 80% in energy savings can be achieved for a grid topology, while for random node placement our cooperative protocol can save up to 40% in energy consumption relative to the other protocols. The reduction in error rate and the energy savings translate into increased lifetime of cooperative sensor networks.

show abstract

Section: Related Workmentioning

confidence: 99%

“…On the contrary, in cooperative transmission, the synchronization of transmissions of the relatively dispersed cooperating nodes necessitates a more elaborate protocol [17]. A protocol is also required to identify the neighboring nodes as potential cooperators and to make a selection of the cooperating nodes.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Protocol for Cooperative Networks

El‐Hawary

Haas

2011

IEEE/ACM Trans. Networking

View full text Add to dashboard Cite

show abstract

A novel space-based solar power collection via LEO satellite networks: Orbital management via wireless local positioning systems

Zekavat

Abdelkhalik

Goh

et al. 2010

2010 IEEE Aerospace Conference

View full text Add to dashboard Cite

Distributed multiple antenna carrier- and sampling-frequency synchronization for OFDM

Kleider

Steenhoek

2009

MILCOM 2009 - 2009 IEEE Military Communications Conference

Self Cite

View full text Add to dashboard Cite

IJ Multiple antenna systems have been shown to provide significant performance improvements for network nodes; however, the vast majority of nodes in military networks will be limited to single channel devices due to mobility (size and power) and ease of use considerations. In this paper we apply a new joint synchronization-pilot sequence (JSPS) optimization design technique to multiple transmitter OFDM systems. We consider the cases where the transmitters could be co-located or distributed (i. e. multiple single-channel transmitters) in space. Independent JSPSs are designed for each transmitter in a multiple antenna system and can be utilized to estimate the carrier frequency offset (CFO) and sampling frequency offset (SFO) of each antenna independently. We study the mean square error (MSE) for the estimation of CFO and SFO and compare the performance of our estimators to a closed form solution for A WGN channels. We show that the performance of our proposed iterative estimators for distributed CFO and SFO estimation is approximately equivalent to the estimation performance in the co-located CFO and SFO estimation case. The iterative estimator for the distributed case is also found to be of low complexity, with only a linear complexity increase over the co-located estimator. We have also measured, via simulation, the performance of the CFO estimator for distributed Rayleigh fading multipath channels.

show abstract

Timing Synchronization in Distributed Mobile MISO Rayleigh Fading Channels

Cited by 4 publications

References 19 publications

Energy-Efficient Protocol for Cooperative Networks

Energy-Efficient Protocol for Cooperative Networks

A novel space-based solar power collection via LEO satellite networks: Orbital management via wireless local positioning systems

Distributed multiple antenna carrier- and sampling-frequency synchronization for OFDM

Contact Info

Product

Resources

About