Time and Power Allocation for Collaborative Primary-Secondary Transmission Using Superposition Coding

Shin, Eunhyuk; Kim, Dongwoo

doi:10.1109/lcomm.2011.122810.101486

Cited by 41 publications

(48 citation statements)

References 5 publications

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“…In fact, R (2) p,i is a decreasing function in β i . Since R p,i is the minimum of the two rates, for a given δ i , the maximum R p,i that can be achieved is when the two rates in (1) are equal [4], [8], i.e.,…”

Section: A Time-splitting Schemementioning

confidence: 99%

“…The optimization problem (17)- (18) is a slightly modified version of the problem studied in [8]. Solving (11) for a given δ i (δ i = 1), we have (20)…”

Section: B Superposition Coding Schemementioning

confidence: 99%

“…Authors in [7] and [8] considered cooperative spectrum sharing with superposition coding. They studied a scenario with one PU and one SU.…”

Section: Introduction and Related Workmentioning

confidence: 99%

“…However, [9] does not take into account the secondary's outage probability. In [8], the time slot duration and the fraction of the power that the ST allocates for primary's data transmission is optimized with the objective of maximizing the SU's rate. However, in the optimal solution of the formulated problem in [8], the PU only achieves the direct link rate which is the rate that it can obtain without any cooperation, and therefore, there would be no benefit in cooperation for the PU.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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On Secondary User Transmission Schemes in Relay-Assisted Cognitive Radio Networks

Shalmashi

Slimane

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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We consider a cooperative cognitive radio network with one primary user and many secondary users. In each transmission frame, one secondary user is selected to act as a relay for the primary user and also transmits its own data. Three different schemes for the secondary user's transmission is studied, namely, time-splitting, superposition coding, and a combined scheme that takes advantages of both time-splitting and superposition coding schemes. We formulate the relay selection problem for each scheme with the objective of maximizing the secondary user's data rate while satisfying a pre-defined gain threshold for the primary user. This constraint provides an incentive for the primary user when allowing the secondary user access its licensed band. We obtain the optimal solution for this problem in each scheme, on which the relay selection is based on. Finally, we compare the performance of different schemes using Monte-Carlo simulations.

QC 20140312

Mobile and wireless communications Enablers for Twenty-twenty (2020) Information Society (METIS

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Section: A Time-splitting Schemementioning

confidence: 99%

“…The optimization problem (17)- (18) is a slightly modified version of the problem studied in [8]. Solving (11) for a given δ i (δ i = 1), we have (20)…”

Section: B Superposition Coding Schemementioning

confidence: 99%

“…Authors in [7] and [8] considered cooperative spectrum sharing with superposition coding. They studied a scenario with one PU and one SU.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

See 2 more Smart Citations

On Secondary User Transmission Schemes in Relay-Assisted Cognitive Radio Networks

Shalmashi

Slimane

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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QC 20140312

Mobile and wireless communications Enablers for Twenty-twenty (2020) Information Society (METIS

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“…They were considered in [30] for single-antenna overlay cognitive radio and evaluated in terms of outage probabilities. The optimal secondary power allocation and phase split in a two-phase spectrum sharing scenario was considered in [31]. In [32], the authors studied beamforming and power allocation for the coexistence of a primary single-input single-output (SISO) user with a secondary single-input multiple-output or MISO that acquired the message in a causal fashion.…”

Section: Introductionmentioning

confidence: 99%

Multi-antenna transmission for underlay and overlay cognitive radio with explicit message-learning phase

Blasco-Serrano

Thobaben

et al. 2013

J Wireless Com Network

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We consider the coexistence of a multiple-input multiple-output secondary system with a multiple-input single-output primary link with different degrees of coordination between the systems. First, for the uncoordinated underlay cognitive radio scenario, we fully characterize the optimal parameters that maximize the secondary rate subject to a primary rate constraint for a transmission strategy that combines rate splitting and interference cancellation. Second, we establish a model for the coordinated overlay cognitive radio scenario that consists of a message-learning phase followed by a communication phase. We then propose a transmission strategy that combines techniques for cooperative communication and for the classical cognitive radio channel. We optimize our system to maximize the rate of communication for the secondary users under a primary-user rate constraint and find efficient algorithms to compute the optimal system parameters. Finally, we compare both cognitive radio strategies to assess their relative merits and to evaluate the effect of the message-learning phase. We observe that for closely located transmitters, the overlay strategy outperforms the underlay strategy. In this situation, learning the primary message is very beneficial for the secondary systems, especially if they are interference-limited rather than power-limited. The situation is reversed when the distance between the transmitters is large. In either case, we observe that there is room for significant improvement if the transmitter implements both strategies and decides adaptively which one to use according to the channel conditions. We conclude our work with a discussion on the extension to the coexistence with multiple-input multiple-output primaries.

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Performance analysis of cooperative spectrum sharing using non‐orthogonal multiple access

Kader

Shin

2017

Int J Communication

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This paper presents a cooperative spectrum sharing protocol using non-orthogonal multiple access in cognitive radio networks. A 2-phase protocol comprising of a primary transmitter-receiver pair and a secondary transmitter-receiver pair is considered. In the proposed protocol, 3 data symbols can be transmitted during the 2 phases; this is unlike the traditional decode-and-forward relaying where 1 data symbol can be transmitted and the conventional superposition coding-based overlay spectrum sharing and the cooperative relaying system using non-orthogonal multiple access where 2 data symbols can be transmitted, under a single-relay scenario. We have investigated performance of our proposed protocol in terms of ergodic sum capacity and outage probability along with analytical derivations over independent Rayleigh fading channels. We also compared our proposed protocol with the traditional decode-and-forward relaying, conventional superposition coding-based overlay spectrum sharing, and the cooperative relaying system using non-orthogonal multiple access schemes to demonstrate efficacy of the proposed protocol. The simulation and analytical results are presented to confirm efficiency of the proposed spectrum sharing protocol. KEYWORDScognitive radio, ergodic sum capacity, non-orthogonal multiple access, outage probability, spectrum sharing Int J Commun Syst. 2018;31:e3481.wileyonlinelibrary.com/journal/dac

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Time and Power Allocation for Collaborative Primary-Secondary Transmission Using Superposition Coding

Cited by 41 publications

References 5 publications

On Secondary User Transmission Schemes in Relay-Assisted Cognitive Radio Networks

On Secondary User Transmission Schemes in Relay-Assisted Cognitive Radio Networks

Multi-antenna transmission for underlay and overlay cognitive radio with explicit message-learning phase

Performance analysis of cooperative spectrum sharing using non‐orthogonal multiple access

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