Admission and power control for Device-to-Device links with quality of service protection in spectrum sharing hybrid network

Liu, Pei; Hu, Chunjing; Peng, Tao; Qian, Rongrong; Wang, Wenbo

doi:10.1109/pimrc.2012.6362527

Cited by 28 publications

(17 citation statements)

References 12 publications

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“…We assume that D-links could only reuse the uplink channels with C-lin ks due to the asymmetry of the network load in cellular system, and each D-link could reuse at most one channel for the sake of user fairness while one channel could be reused by multiple D-lin ks for the exploitation of spectral efficiency as in [7][8]. We assume that there are N channels in the system, and each of them has been pre-assigned to a C-lin ks with the same label, but the scheduling of C-links is out the scope of our paper.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…As radio resource allocation has been proved to be effective in managing co-channel interference and optimizing system performance, several schemes have been studied in the prior works [3][4][5][6][7][8]. In [3], a jo int spectral reuse mode selection and PC scheme was raised to maximize overall throughput, but only one channel was included and the QoS protection for the secondary D-links was neglected.…”

mentioning

confidence: 99%

“…But the works in [3][4][5][6] restricted that one channel could only be reused by at most one D-link, which greatly limited the exploitation of spectral efficiency. So, the authors in [7][8] eliminated the above constraint and maximized the ST for D-links with guaranteed individual QoS requirement by either PC [7] or CA [8], but the gain of joint resource allocation was missed compared to [6].…”

mentioning

confidence: 99%

“…Inspire fro m the preceding works [3][4][5][6][7][8], we focus on the same scenario as in [7][8] and attempt to maximize the ST for D-links with individual QoS protection for the sake of user fairness by joint consideration of CA and PC as in [6]. Due to the high complexity of orig inal problem, we decompose it into two parts, namely CA and PC, where PSO is explicit ly adopted in CA by defining the fitness function as the ST of all ad mitted D-links, but when deriving the fitness value for each particle, PC optimizat ion is performed for throughput maximization on each orthogonal channel, including a GR to achieve individual QoS requirement with maximu m number of D-lin ks being admitted.…”

mentioning

confidence: 99%

“…It's noteworthy that our joint optimization structure can be readily extended to the multiple-input and multiple-output antenna system [16], which leads to a different optimizat ion model in underlaid PC part. Five algorith ms are compared in this section: (i) PC optimization with random CA (Alg-1), e.g., [3,7]; (ii) CA optimization with fixed power settings raised in [8] (Alg-2), besides, to make it co mparable with ours, we set all ad mitted D-links with the same transmit power so that the SINR requirement of the priorit ized C-link is maintained; (iii) random CA with fixed power settings (Alg-3), and the transmit powers of D-lin ks are set in the same manner as in Alg-2; (iv) the joint CA and PC optimization scheme in [6] (Alg-4) which is superior than the CA optimization in [4][5];…”

mentioning

confidence: 99%

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Resource Allocation for Underlaid Device-to-Device Communication by Incorporating Both Channel Assignment and Power Control

Tang

Dong

Zhu

et al. 2015

2015 Fifth International Conference on Communication Systems and Network Technologies

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Device-to-Device (D2D) communication can greatly enhance the system throughput (S T) and individual quality-ofservice (QoS) experience by reusing the spectrum of cellular network. But due to dense spectrum sharing, severe co-channel interference may be imposed between cellular links (C-links) and D2D links (D-links). S o, to fully utilize the gain of D2D communication, we attempt to maximize the S T of D-links with guaranteed individual QoS requirement for both types of links by joint consideration of channel assignment (CA) and power control (PC). S pecifically, particle swarm optimization (PSO) is explicitly adopted to optimize CA, but when deriving the fitness value for each CA particle, underlaid PC optimization will be implicitly performed for throughput maximization on each channel, together with a gradual removal (GR) scheme to maintain individual QoS requirement and admit the maximum number of D-links into the system. Thanks to the numerical results, we demonstrate the superiority of our scheme in terms of S T and system capacity (S C), i.e., the number of admitted Dlinks, when comparing with the ones in literature.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

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Resource Allocation for Underlaid Device-to-Device Communication by Incorporating Both Channel Assignment and Power Control

Tang

Dong

Zhu

et al. 2015

2015 Fifth International Conference on Communication Systems and Network Technologies

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A study on the channel bonding in IoT networks: Requirements, applications, and challenges

Kandar

Chyne

Sur

et al. 2023

Int J Communication

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The most well-known sort of remote Internet connection is wireless local area networks (WLANs) due to its unsophisticated operation and deployment. Subsequently, the quantity of gadgets getting to the Internet through WLANs, for example, PCs, cell phones, or wearables, is expanding radically at the equivalent time that applications' throughput necessities do. To provide wireless networks with supplementary spectral resources, the researchers are considering the aggregation of frequency spectrums in licensed, unlicensed, and shared access (SA) bands. Channel aggregation/channel bonding (CA/CB) techniques accumulate quite a few channels together as one channel for the purpose of achieving better bandwidth utilization. In this study, we focus on reliable CA/CB techniques in different wireless networks. CA/CB procedures are utilized for empowering higher information rates by transmitting in more extensive channels, accordingly expanding range proficiency with the assured secure channel for communication. We also discuss the spectral scarcity issues in today's wireless IoT network. This paper presents an extensive survey on CA/CB procedures and methods, issues and challenges, and open research areas related to IoT devices. We analyze the performance of channel CA/CB strategies in the different wireless networks too.

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Mesh adaptive direct search approach for D2D resource management

Ahmad

Naeem

Ahmed

et al. 2016

Wireless Communications

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Device-to-device (D2D) communications are being considered a way forward to achieve higher data rate targets for futuristic wireless networks. D2D introduces interference among cellular users and D2D users. A joint resource allocation (JRA) strategy in cellular network with D2D functionality can definitely enhance overall data rate. The strategy under consideration maximizes the overall data rate of cellular network besides meeting threshold of power and interference constraints. The JRA is a class of mixed integer non-linear constraint optimization problems and is NP hard. Because of discrete nature of variables in the problem, optimal solution performs extensive search of integer variables, and problem becomes exponentially complex with the increasing number of user pairs. In this paper, mesh adaptive direct search algorithm is applied to solve the aforementioned problem. The algorithm is suitable for complex problems of combinatorial nature to solve the JRA strategy in D2D. The proposed algorithm converges to optimal solution within acceptable computational iterations. Simulation results of system capacity and interference also demonstrate the suitability of the proposed approach viz-a-viz other algorithms. 2329Mesh adaptive direct search approach for D2D resource management M. Ahmad et al.associated with underlay communication, it poses the challenge of management of the interference among cellular users caused by D2D users because of the use of the same resources by both types of users. To avoid interference problem, some researchers advocate to use some part of cellular spectrum exclusively reserved for D2D communication. This technique is called overlay in-band D2D communication. Nevertheless, D2D underlay in-band communication has obtained more popularity, and the same technique has been adopted in this research work as well.Other communication technologies such as wireless local area networks and wireless personal area networks technologies, including bluetooth and ultra-wide band, also provide higher data rates but require manual peering, and there is no control over interference as spectrum is being shared by many users in license-free band. In contrast, D2D communication due to the controlled assignment of radio resources by the BS/eNode-B in the licensed band alleviates problems of manual peering and interference among users.In [6], different techniques for controlled management of resources by the eNode-B are suggested. This reference also describes benefits of D2D communication, which include the following: (i) reduction in number of hops improves latency and proximity gain; (ii) closeness of users provides higher data rates, and reduction in power consumption improves battery life of mobile phones, better network capacity, coverage, and quality of service (QoS). The interference management challenge in D2D communication underlay is a formidable task. As we have to achieve higher data rate for future networks, while meeting the quality of standard and power constraints as well, a well-optimized joi...

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Admission and power control for Device-to-Device links with quality of service protection in spectrum sharing hybrid network

Cited by 28 publications

References 12 publications

Resource Allocation for Underlaid Device-to-Device Communication by Incorporating Both Channel Assignment and Power Control

Resource Allocation for Underlaid Device-to-Device Communication by Incorporating Both Channel Assignment and Power Control

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

Mesh adaptive direct search approach for D2D resource management

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