Robust Resource Optimization for Cooperative Cognitive Radio Networks with Imperfect CSI

Mallick, Shankhanaad; Devarajan, Rajiv; Loodaricheh, Roya Arab; Bhargava, V.K.

doi:10.1109/twc.2014.2362135

Cited by 44 publications

(22 citation statements)

References 36 publications

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“…There have been a number of works on cognitive radio networks (CRNs), where EH was mentioned in [14][15][16][17]. In [14], the resource-allocation problem for EH based on orthogonal frequency-division multiple access cooperative overlay CRNs was mentioned, where there was the involvement of multiple primary users (PUs) and secondary users (SUs), where they cooperate with each other with respect to information transmission and EH.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], the resource-allocation problem for EH based on orthogonal frequency-division multiple access cooperative overlay CRNs was mentioned, where there was the involvement of multiple primary users (PUs) and secondary users (SUs), where they cooperate with each other with respect to information transmission and EH. In terms of small-cell CRNs, resource-allocation schemes for a CRN were investigated, where in different small cell PU networks, SUs establish communication with each other [15]. Furthermore, the authors in [16] focus on the power control and sensing time optimization problem in a small cell CRN, while a distributed sleep-mode strategy for cognitive small cell access points was addressed, and the trade-off between traffic offloading from the macro cell and the energy consumption of the small cells were also taken into consideration in [17].…”

Section: Introductionmentioning

confidence: 99%

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Wireless powered D2D communications underlying cellular networks: design and performance of the extended coverage

Nguyen

Vozňák

2017

Automatika

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Because of the short battery life of user equipments (UEs), and the requirements for better quality of service have been more demanding, energy efficiency (EE) has emerged to be important in device-to-device (D2D) communications. In this paper, we consider a scenario, in which D2D UEs in a half-duplex decode-and-forward cognitive D2D communication underlying a traditional cellular network harvest energy and communicate with each other by using the spectrum allocated by the base station (BS). In order to develop a practical design, we achieve the optimal time switching (TS) ratio for energy harvesting. Besides that, we derive closedform expressions for outage probability, sum-bit error rate, average EE and instantaneous rate by considering the scenario when installing the BS near UEs or far from the UEs. Two communication types are enabled by TS-based protocol. Our numerical and simulation results prove that the data rate of the D2D communication can be significantly enhanced.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wireless powered D2D communications underlying cellular networks: design and performance of the extended coverage

Nguyen

Vozňák

2017

Automatika

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“…It is further assumed that γ th i , β min i , D max i , and ϵ are chosen so that the optimum problem (28) is feasible. Construct the Lagrangian function of Equation 28 and it can be decomposed into N subproblems as follows:…”

Section: Theorem 2 the Probabilistic Constraint Of Packets Delivery mentioning

confidence: 99%

“…Hence, how to improve robustness of the control system has been a hot topic. In previous works, [27][28][29][30][31] uncertainties of channel state information were considered for wireless communication model. In the work of Yun and Caramanis, 30 the uncertain random variable is the total arrival rate, and the uncertainty of distance was discussed in the work of Ye and Ordonez.…”

Section: Introductionmentioning

confidence: 99%

Distributed power control in crowdsensing‐based femtocell networks with QoS provisioning

Liu

Gao

Liu

et al. 2017

Trans Emerging Tel Tech

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We consider mobile crowdsensing campaigns that are practiced in the emerging data collection in femtocell networks, which are effective in improving the capacity and coverage of communication users. One of the challenging issues is how to allocate the transmission power and reduce the cross‐tier and co‐tier interferences among users. This paper proposes a Stackelberg game to characterize the actions of macrocell and femtocell users. In the game, the macrocell user is seen as the leader, whereas the femtocell users are seen as the followers. For the macrocell, it aims at maximizing the leader's profit with the constraint of the maximum tolerable interference. The femtocell users attempt to maximize the followers' profit in the network system with consideration of performance guarantee in the aspects of packet delivery rate and time delay, which are modeled as probability constraints. Spectrum sharing is assumed among the macrocell and femtocells. The uncertain channel state information is considered in the formulated problem, and the probability threshold method is utilized to convert the uncertain constraints into tractable ones. Furthermore, a power control and price bargaining algorithm is derived to get the practical operation. Finally, numerical results validate the performances of the proposed scheme in the aspects of convergence, utility of uses, and power consumption.

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“…In recent years, there have been several works [7][8][9][10][11][12] that studied resource allocation in cognitive underlay networks with imperfect CSI. However, these works used a more theoretic performance metric like the capacity metric or SNR and did not consider the difficult problem of implementing ACM in a practical coded multi-carrier transmission system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive coding and modulation using imperfect CSI in cognitive BIC-OFDM systems

Hecke

Fiorentino

Andreotti

et al. 2016

J Wireless Com Network

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This work investigates adaptive coding and modulation (ACM) algorithms under the realistic assumption that the available channel state information (CSI) at the transmitter is imperfect due to estimation errors and/or feedback delays. First, we introduce an optimal performance metric for the secondary user (SU) bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFDM) system, called the expected goodput (EGP). By using an accurate modeling approximation, we succeed in deriving a tractable and very accurate approximation for the EGP. This approximate EGP (AEGP) is then used for the derivation of several ACM algorithms which optimize the code rate and bit and energy allocation under a constraint on the interference caused to the PU network. In the numerical results, we show that the AEGP is far more accurate than previous attempts to model the GP in the presence of imperfect CSI. Further, we verify that, in spite of the imperfect nature of the available CSI, the derived ACM algorithms significantly increase the goodput of the SU network, compared to a non-adaptive selection of the transmission parameters.

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Robust Resource Optimization for Cooperative Cognitive Radio Networks with Imperfect CSI

Cited by 44 publications

References 36 publications

Wireless powered D2D communications underlying cellular networks: design and performance of the extended coverage

Wireless powered D2D communications underlying cellular networks: design and performance of the extended coverage

Distributed power control in crowdsensing‐based femtocell networks with QoS provisioning

Adaptive coding and modulation using imperfect CSI in cognitive BIC-OFDM systems

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