Optimum Power Allocation in a Nonorthogonal Amplify-and-Forward Relay-Assisted Network

Gong, Peng; Xue, Peng; Park, Daeyoung; Kim, Duk Kyung

doi:10.1109/tvt.2011.2108672

Cited by 15 publications

(21 citation statements)

References 28 publications

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“…14Proof. Owing to the constant power consumption of bs at BS, bs is constant for the th PU and we can easily prove this proposition by the Proposition 4 in [6]. Proposition 1 implies that the optimal solution for the problem of (13a)-(13b) can be obtained by allocating full available power of CUs to a single CU, as shown in (14), rather than allocating the power in a shared manner among CUs.…”

Section: Proposition 1 With a Sum Power Constraint At Cus That Is mentioning

confidence: 85%

Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information

Gong

Ren

Kim

2014

International Journal of Distributed Sensor Networks

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We first address the problem of power allocation at cognitive users (CUs) to maximize the throughput of a nonselfish symbiotic cognitive radio scheme, in which the CUs may assist the data transmission of primary users (PUs) via nonorthogonal amplifyand-forward (AF) cognitive relaying and obtain an incentive time for their own data transmission in a nonselfish manner. Then, an optimal power allocation algorithm is proposed based on the full channel state information (CSI) among PUs, CUs, and base station (BS). In order to reduce the feedback overhead, another power allocation algorithm is devised based only on the partial CSI, that is, the CSI of BS-PU and the CSI of BS-CUs. Simulation results demonstrate that, compared with the optimal power allocation algorithm, the power allocation algorithm with only the partial CSI can achieve a similar performance with a smaller channel feedback overhead.

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Section: Proposition 1 With a Sum Power Constraint At Cus That Is mentioning

confidence: 85%

Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information

Gong

Ren

Kim

2014

International Journal of Distributed Sensor Networks

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“…5) Without matching: the data transmitted by S over a given subcarrier in the first time slot is forwarded by R over the same subcarrier in the second time slot. The powers are evaluated by solving (8) with t j,k = 1 for every j = k and zero otherwise. Fig.…”

Section: Simulations Resultsmentioning

confidence: 99%

“…[6]- [8] and references therein). The methods used in the non-cognitive relays are not solving efficiently the resource allocation problem in cognitive relays because the different resources should be distributed adequately so that the interference introduced to the primary system isn't harmful.…”

Section: Introductionmentioning

confidence: 99%

Asymptotically optimal subcarrier matching and power allocation for cognitive relays with power and interference constraints

Shaat

Bader

2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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This paper considers the resources allocation problem in decode-and-forward (DF) relayed OFDM based cognitive radio (CR) system. The subcarrier matching and power allocation are optimized jointly under the individual power constraints in source and relay so that the sum rate is maximized while the interference induced to the primary system is kept below a pre-specified interference temperature limit. Therefore, the dual decomposition technique is adopted to obtain an asymptotically optimal solution. Moreover, a suboptimal scheme is presented to get rid of the high computational complexity of the optimal scheme. The suboptimal algorithm solves the problem in two phases. The subcarriers powers are adjusted in the first phase considering the interference that can be induced to the primary system in addition to the available power budgets. The subcarriers are matched in the second phase based on the fixed powers and the channel qualities. The performance of the different schemes is discussed throughout numerical simulation.

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“…A situation of power allocation at relays was addressed in [19] to increase the transmission rate in a non-orthogonal AAF relay network where amplified signals are simultaneously transmitted at the same time and with the same frequency. A unified power allocation in AAF approach is presented in [20] in multi-hop OFDM relaying systems.…”

Section: Related Workmentioning

confidence: 99%

Link-Level Performance Evaluation of Relay-Based Wimax Network

Gadze¹,

Klogo²,

Anafo³

2016

IJWMN

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Optimum Power Allocation in a Nonorthogonal Amplify-and-Forward Relay-Assisted Network

Cited by 15 publications

References 28 publications

Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information

Power Allocation in Nonselfish Symbiotic Cognitive Relaying with Partial Channel State Information

Asymptotically optimal subcarrier matching and power allocation for cognitive relays with power and interference constraints

Link-Level Performance Evaluation of Relay-Based Wimax Network

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