Distributed transmit beamforming: challenges and recent progress

Mudumbai, Raghuraman; Brown, Donald R.; Madhow, Upamanyu; Poor, H. Vincent

doi:10.1109/mcom.2009.4785387

Cited by 436 publications

(248 citation statements)

References 12 publications

Supporting

Mentioning

246

Contrasting

Order By: Relevance

“…So that whenever the receiver finds a better path, it discards the old path and picks up the new path for data communication. 15. In future diversity techniques also going to add it shows more energy saving and it will reduces the outage probability also V.…”

Section: Opportunistic Cooperative Algorithmmentioning

confidence: 97%

“…The existing literature Khandani et al [12] they formulate the energy consumption in a static cooperative wireless network shows the maximum energy saving of 50% compare with non cooperative scheme, the energy savings achieved through cooperation, by using point to point scheme the heuristic algorithms to find energy efficient routes and also consider cooperative Multiple-Input Single-Output (MISO) technique for data transmission and energy savings can be achieved using cooperative routing techniques. In this static network the transmitting nodes must know about channel state information hence nodes are cooperatively beamforming it requires synchronization [15] which is difficult in mobile adhoc network. Zhang et al [13] extend Khandani"s work to a multi-source multi-destination network.…”

Section: Fig14: Cooperative Diversitymentioning

confidence: 99%

See 1 more Smart Citation

Energy saving in cooperative transmission using opportunistic protocol in MANET

2013

IOSR-JECE

View full text Add to dashboard Cite

show abstract

Section: Opportunistic Cooperative Algorithmmentioning

confidence: 97%

Section: Fig14: Cooperative Diversitymentioning

confidence: 99%

Energy saving in cooperative transmission using opportunistic protocol in MANET

2013

IOSR-JECE

View full text Add to dashboard Cite

show abstract

“…Beamforming is a signal processing technique for directional signal transmission or reception [27]. It is achieved by combining elements in a phased array of antennas in such a way that signals at particular angles experience constructive gains while others experience destructive interferences.…”

Section: Beamforming Techniquementioning

confidence: 99%

Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks

Hong

Chen

Shetty

et al. 2017

IJNC

View full text Add to dashboard Cite

Cooperative MIMO communication is a promising technology which enables realistic solution for improving communication performance with MIMO technique in wireless networks that are composed of size and cost constrained devices. However, the security problems inherent to cooperative communication also arise. Cryptography can ensure the confidentiality in the communication and routing between authorized participants, but it usually cannot prevent the attacks from compromised nodes which may corrupt communications by sending garbled signals. In this paper, we propose a cross-layered approach to enhance the security in query-based cooperative MIMO sensor networks. The approach combines efficient cryptographic technique implemented in upper layer with a novel information theory based compromised nodes detection algorithm in physical layer. In the detection algorithm, a cluster of K cooperative nodes are used to identify up to K − 1 active compromised nodes. When the compromised nodes are detected, the key revocation is performed to isolate the compromised nodes and reconfigure 50International Journal of Networking and Computing the cooperative MIMO sensor network. During this process, beamforming is used to avoid the information leaking. The proposed security scheme can be easily modified and applied to cognitive radio networks. In such cognitive radio network, if we assume that in cooperative transmission the unlicensed users use one licensed user's frequency, a cluster of K cooperative nodes can identify up to K − 2 active compromised nodes. Simulation results show that the proposed algorithm for compromised nodes detection is effective and efficient, and the accuracy of received information is significantly improved.

show abstract

“…WITH SELFISHNESS For achievability for cooperative ad hoc networks, we do not use complex code designs such as distributed transmit beamforming [17] that requires precisely phasing transmissions. Instead, we use the distributed frequency-shift keyed (FSK) cooperation method proposed in [1].…”

Section: Analysis Of K-collaborative Connectivitymentioning

confidence: 99%

An Upper Bound of Node Density in Cooperative Networks with Selfish Behavior

Liu

Zhang

Leung

2010

2010 IEEE International Conference on Communications

View full text Add to dashboard Cite

Abstract-In a wireless network, connectivity is arguably the most critical issue that requires significant study since a network can hardly function well if it is disconnected. On the other hand, there are extraordinary interests in exploiting cooperative techniques in wireless networks in recent years. This paper studies the connectivity problem of large cooperative ad hoc networks. Unlike traditional cooperative networks where all nodes are willing to transmit in a collaborative manner, the cooperative network we considered does not assume that all nodes would like to transmit cooperatively when relaying other nodes' traffic. In other words, each node exhibits some sense of selfishness. Specifically, we model nodes in such a way that each node cooperatively transmits with p-selfishness or location-based p-selfishness when relaying other nodes' traffic. For the considered network, we assume that nodes are generated according to a Poisson Point Process (PPP) and techniques based on stochastic geometry and percolation theory are used to analyze the connectivity in such system. To quantify the performance of the cooperative ad hoc network with selfish behavior, we provides an upper bound of node density for such network to maintain connectivity.

show abstract

Distributed transmit beamforming: challenges and recent progress

Cited by 436 publications

References 12 publications

Energy saving in cooperative transmission using opportunistic protocol in MANET

Energy saving in cooperative transmission using opportunistic protocol in MANET

Strong Security Approach with Compromised Nodes Detection in Cognitive Radio Sensor Networks

An Upper Bound of Node Density in Cooperative Networks with Selfish Behavior

Contact Info

Product

Resources

About