Power allocation for non-orthogonal decode-and-forward cooperation protocol

Zhang, Yong; Xu, Youyun; Cai, Yueming

doi:10.1007/s11432-009-0018-8

Cited by 2 publications

(2 citation statements)

References 12 publications

(9 reference statements)

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“…Optimal power allocation in AF networks has been studied in [7,8]. Most of these solve for the optimal power division between the source and relay nodes to maximize capacity or minimize outage probability.…”

Section: Introductionmentioning

confidence: 99%

Optimal power allocation for cognitive relay networks: amplify-and-forward versus selection relay

Yue

Zheng

Meng

et al. 2010

Sci. China Inf. Sci.

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We consider a cognitive relay network which is defined by a source, a destination, and cognitive relay nodes and primary user nodes. In this network, a source is assisted by cognitive relay nodes which allow coexisting with primary user nodes by imposing severe constraints on the transmission power so that they operate below the noise floor of primary user nodes. In this paper, we mainly study the power allocation strategies of this system to minimize the outage probability subject to total and individual power constraints for cognitive relay nodes and subject to interference constraints for primary user nodes. A relay transmission scheme, namely amplify-and-forward (AF), is considered. We first present an optimal power allocation (OPA) scheme to minimize the system outage probability, based on instantaneous channel state information among the source, destination and relay nodes and mean channel gains between primary user nodes and cognitive relays. Next, we propose a selection AF scheme (S-AF) where the single best relay is chosen to assist in the transmission and study power allocation strategy for S-AF to minimize outage probability. The analytical power allocation strategies have been validated through numerical simulations. The results indicate that the AF with OPA and S-AF with OPA have significantly better outage behavior and average throughput than AF and S-AF schemes respectively. We also find that S-AF with OPA achieves a higher throughput, and hence lower outage probability than AF with OPA.Keywords cognitive radio (CR), relay networks, power allocation, outage probability CitationYue W J, Zheng B Y, Meng Q M, et al. Optimal power allocation for cognitive relay networks: amplify-and-forward versus selection relay.

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Section: Introductionmentioning

confidence: 99%

Optimal power allocation for cognitive relay networks: amplify-and-forward versus selection relay

Yue

Zheng

Meng

et al. 2010

Sci. China Inf. Sci.

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“…On the other hand, as equal power allocation (EPA) was used for the local and relayed data, power resource was inefficiently utilized. It has been shown that optimal power allocation (OPA) algorithm could be devised to improve outage probability [9], capacity [10,11], symbol error rate (SER) [12] and pairwise error probability (PEP) [13] performance of cooperative systems Nevertheless, OPA algorithm for a particular cooperative system remains an open issue.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis and partner selection for cooperative diversity based on MQAM modulation

Wang

et al. 2010

Sci. China Inf. Sci.

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An adaptive decode-and-forward (DF) cooperative diversity system based on quadrature modulation is proposed, in which each user is allowed to transmit its own and the partner's data simultaneously via the in-phase and quadrature components of M -ary quadrature amplitude modulation (MQAM) constellation. Cooperative transmission in this way can avoid the bandwidth expansion in traditional cooperative systems. The closed form expression of the average bit error rate (BER) performance is derived in terms of the interuser and uplink channel statistics and a scalable power allocation factor, and further verified by simulations. Then the effect of equal power allocation (EPA) and optimal power allocation (OPA) algorithms on the system performance and the best partner location for a given user are investigated. Simulations show that the OPA algorithm offers considerable gains over EPA algorithm under practical non-ideal cooperative scenarios, and by joint consideration of partner selection and OPA, a simple yet near-optimal partner selection heuristic is achieved. CitationLi J, Ge J H, Wang Y, et al. Performance analysis and partner selection for cooperative diversity based on MQAM modulation.

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Power allocation for non-orthogonal decode-and-forward cooperation protocol

Cited by 2 publications

References 12 publications

Optimal power allocation for cognitive relay networks: amplify-and-forward versus selection relay

Optimal power allocation for cognitive relay networks: amplify-and-forward versus selection relay

Performance analysis and partner selection for cooperative diversity based on MQAM modulation

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