Implementation and Evaluation of Cooperative Communication Schemes in Software-Defined Radio Testbed

Zhang, Jin; Jia, Juncheng; Zhang, Qian; Lo, Edward C M

doi:10.1109/infcom.2010.5461915

Cited by 59 publications

(32 citation statements)

References 11 publications

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“…802.11 networks have also shown interest in exploiting sender diversity; however they still restrict themselves to only one sender transmitting at a time, using mechanisms like picking the sender with the best channel [26], which can neither exploit frequency diversity across senders, nor the power gain from combining multiple senders. Concurrent with our work, Zhang et al [45] have demonstrated an implementation of cooperative diversity with nodes connected to a single shared clock. In contrast, our approach requires no shared clocks and applies to practical wireless networks, and also demonstrates the synergy of sender diversity with opportunistic routing.…”

Section: Related Worksupporting

confidence: 68%

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Rahul

Hassanieh

Katabi

2010

Proceedings of the ACM SIGCOMM 2010 Conference

114

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Section: Related Worksupporting

confidence: 68%

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Rahul

Hassanieh

Katabi

2010

Proceedings of the ACM SIGCOMM 2010 Conference

114

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“…The implementation was performed to reveal the real system performance of CC, which showed significant throughput gain of cooperative transmission with the direct transmission. Likewise, 26,27,28 the proposed scheme can be realized as a feasible CCS with CRNs.…”

Section: Related Workmentioning

confidence: 99%

Low-complexity timer-based multi-relay selection and sequential power allocation of cooperative cognitive radio networks for future Internet of things

Rahman

Lee

Koo

2016

International Journal of Distributed Sensor Networks

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Cooperative cognitive radio networks use cooperative relays to forward signal from the source to the destination. In cooperative cognitive radio networks, the transmission power of each relay is limited by the interference constraint of the primary user receiver. Thus, it is essential to optimize power allocation and multi-relay selection jointly to maximize the secondary system throughput. Optimizing multi-relay selection and power allocation requires an exhaustive search for all possible relay combinations, since this approach uses a large amount of valuable resources and entails high computational complexity. A suboptimal solution for power allocation may reduce the computational complexity but still involves high implementation complexity. Thus, for an efficient utilization of resources to support the applicability of cognitive radio for the Internet of things, we propose a low-complexity timer-based multi-relay selection that determines a forwarding relay set before the source begins to transmit its data. This allows the source to know the instantaneous channel state information of the relays, which helps the source to assign appropriate transmission power to the relays. By simulation, we show that the proposed scheme achieves near-optimal secondary system throughput performance to the optimal multi-relay selection as well as provides a significant secondary system throughput gain when compared to conventional and random relay selection scheme with equal power allocation.

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“…In the context of cognitive networks, Zhang et al [28,29] demonstrate that cooperative transmissions can increase the network throughput by jointly exploiting spatial and spectrum diversity. Simeone et al [30][31][32] propose a cooperative transmission scheme between primary and secondary users referred to as spectrum leasing, where secondary users relay the traffic on behalf of primary users in exchange for opportunities to transmit their own traffic.…”

Section: Related Workmentioning

confidence: 99%

Distributed resource allocation in cognitive and cooperative ad hoc networks through joint routing, relay selection and spectrum allocation

et al. 2015

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"Distributed resource allocation in cognitive and cooperative ad hoc networks through joint routing, relay selection and spectrum allocation" (2015 b s t r a c tCooperative relaying and dynamic-spectrum-access/cognitive techniques are promising solutions to increase the capacity and reliability of wireless links by exploiting the spatial and frequency diversity of the wireless channel. Yet, the combined use of cooperative relaying and dynamic spectrum access in multi-hop networks with decentralized control is far from being well understood. We study the problem of network throughput maximization in cognitive and cooperative ad hoc networks through joint optimization of routing, relay assignment and spectrum allocation. We derive a decentralized algorithm that solves the power and spectrum allocation problem for two common cooperative transmission schemes, decode-and-forward (DF) and amplify-and-forward (AF), based on convex optimization and arithmetic-geometric mean approximation techniques. We then propose and design a practical medium access control protocol in which the probability of accessing the channel for a given node depends on a local utility function determined as the solution of the joint routing, relay selection, and dynamic spectrum allocation problem. Therefore, the algorithm aims at maximizing the network throughput through local control actions and with localized information only.Through discrete-event network simulations, we finally demonstrate that the protocol provides significant throughput gains with respect to baseline solutions.

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Implementation and Evaluation of Cooperative Communication Schemes in Software-Defined Radio Testbed

Cited by 59 publications

References 11 publications

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Low-complexity timer-based multi-relay selection and sequential power allocation of cooperative cognitive radio networks for future Internet of things

Distributed resource allocation in cognitive and cooperative ad hoc networks through joint routing, relay selection and spectrum allocation

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