Resource Allocation for Selective Relaying Based Cellular Wireless System with Imperfect CSI

Mallick, Shankhanaad; Devarajan, Rajiv; Rashid, Mohammad Mamunur; Bhargava, V.K.

doi:10.1109/tcomm.2013.032013.120322

Cited by 18 publications

(13 citation statements)

References 34 publications

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“…Robust power allocation has appeared in [11] for relay channels without secrecy, in [4] for MISO systems, and in [12] The authors are with the Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, Karnataka -560012, India (e-mail: {siddharth, kundan, kuri}@dese.iisc.ernet.in).…”

Section: Introductionmentioning

confidence: 99%

Robust Power Allocation and Outage Analysis for Secrecy in Independent Parallel Gaussian Channels

Sarma

Kandhway

Kuri

2016

IEEE Wireless Commun. Lett.

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This is the author's version of an article that has been published in IEEE Wireless Communications Letters. Changes were made to this version by the publisher prior to publication. Abstract-This letter studies parallel independent Gaussian channels with uncertain eavesdropper channel state information (CSI). Firstly, we evaluate the probability of zero secrecy rate in this system for (i) given instantaneous channel conditions and (ii) a Rayleigh fading scenario. Secondly, when non-zero secrecy is achievable in the low SNR regime, we aim to solve a robust power allocation problem which minimizes the outage probability at a target secrecy rate. We bound the outage probability and obtain a linear fractional program that takes into account the uncertainty in eavesdropper CSI while allocating power on the parallel channels. Problem structure is exploited to solve this optimization problem efficiently. We find the proposed scheme effective for uncertain eavesdropper CSI in comparison with conventional power allocation schemes.

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Section: Introductionmentioning

confidence: 99%

Robust Power Allocation and Outage Analysis for Secrecy in Independent Parallel Gaussian Channels

Sarma

Kandhway

Kuri

2016

IEEE Wireless Commun. Lett.

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“…Another recent work about RRA for OFDMA relay networks with imperfect CSI was introduced in [11], where only power allocation algorithm was introduced. In [12], resource allocation scheme was presented for the selected relays. Meanwhile, only limited research work, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Only minority as [5] and [12] have taken energy conservation and consumption reduction as the primary objective and considered the imperfect CSI. However, the increasing energy consumption in wireless networks inevitably leads to a large carbon footprint, which greatly contributes to environmental pollution.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient resource allocation for OFDMA two-way relay networks with imperfect CSI

Chang

Zhang

Guo

et al. 2015

J Wireless Com Network

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Most of the existed works on the radio resource allocation (RRA) problem commonly assume the channel-state information (CSI) can be perfectly obtained by the transmission source. However, such assumption is not practical in the realistic wireless systems. In this work, we consider the practical implementation issues of resource allocation in orthogonal frequency division multiple access (OFDMA) two-way relay networks: the inaccuracy of channel-state information (CSI) available to the source. Instead, only the estimated channel status is known by the source. In this context, a joint optimization of subcarrier pairing and allocation, relay selection, and transmit power allocation is formulated in OFDMA two-way amplify-and-forward relay networks. Moreover, the objective of this work is to minimize the energy consumption of the overall system. Further, to ensure the quality of service (QoS) or data rate requirement, the energy consumption must be minimized without compromising the QoS. Therefore, by applying convex optimization techniques, energy-efficient algorithms are developed with the objective to minimize the total transmit power with guaranteeing the required data rates. Through simulation studies, energy consumption performance of the systems under the proposed schemes is investigated. It can be observed that our proposed scheme can improve the energy consumption performance of the considered system.

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“…The authors in [20] provided a joint relay selection and power allocation scheme for cooperative relay networks with channel uncertainty; the system can work robustly in dynamically changing environment. A robust power allocation and admission control scheme has been studied for providing probabilistically constrained cooperative cellular systems [21]. To ensure the fairness, the authors study the proportional fairness-based joint subcarrier and power allocation in the relay OFDMA system [22].…”

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confidence: 99%

Robust power optimization scheme for cooperative wireless relay system in smart city

et al. 2016

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Ultra dense deployment of base stations is one of most significant features in smart city communication networks. Aiming at the large-scale wireless communication issue in smart city, we propose a distributed robust power allocation scheme with proportional fairness for cooperative orthogonal frequency-division-multipleaccess relay network. With the amplify-and-forward relay mode, all of the relays assist the information transmission simultaneously on orthogonal subcarriers. Considering the uncertainty of channel gains, first we aim at achieving the maximum utility subject to the constraints of outage probability threshold and power bound. Subsequently, the problem is transformed to a solvable convex optimization problem with determination constraints. The dual-decomposition method is applied to solve the formulated optimization problem. To reduce the information exchange of the whole system, we propose a computationally efficient distributed iteration algorithm. Numerical results reveal the effectiveness of the proposed robust optimization algorithm. INTRODUCTIONWith the rapid advancement and application of communication infrastructure, next generation mobile communication technologies, cloud computing, the internet of things and so on, the concept of smart city has been proposed and developed in recent years. Smart health care, smart transportation, smart buildings, smart homes, smart government, and smart electric grids may form the main parts of future smart cities. The smart city will bring us a more convenient and intelligent life in future. Nevertheless, it is a key problem to the development of smart city that establishes a robust communication network. To guarantee the high-speed communication requirements of the increasing users and the further transmission range, an army of base stations and other communication devices need to be constructed. Meanwhile, the large number of new communication devices not only increases the cost of communication operators but also increases the consumption of energy. Therefore, it is vital to enhance the communication quality and reduce the cost with a new communication technology. Relay-assisted communication plays an important role in extending the transmission range and enhancing the communication quality in wireless networks [1]. Lowpowered and high-capacity communication and transmission have become possible with the help of cooperative relay. With the rapid upsurge in services of cellular networks, energy consumption Apparently, the above Hessian matrix is definite. We conclude that the constraints form a convex feasible set. Therefore, the reformulated problem (P2) is a convex optimization problem.

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Resource Allocation for Selective Relaying Based Cellular Wireless System with Imperfect CSI

Cited by 18 publications

References 34 publications

Robust Power Allocation and Outage Analysis for Secrecy in Independent Parallel Gaussian Channels

Robust Power Allocation and Outage Analysis for Secrecy in Independent Parallel Gaussian Channels

Energy-efficient resource allocation for OFDMA two-way relay networks with imperfect CSI

Robust power optimization scheme for cooperative wireless relay system in smart city

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