Joint Admission Control, Mode Selection, and Power Allocation in D2D Communication Systems

Azam, Muhammad Rizwan; Ahmad, Mushtaq; Naeem, Muhammad; Iqbal, Muhammad; Khwaja, Ahmed Shaharyar; Anpalagan, Alagan; Qaisar, Saad

doi:10.1109/tvt.2015.2487220

Cited by 61 publications

(29 citation statements)

References 36 publications

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“…To the best of our knowledge, no one has so far suggested to use MADS and proved its performance better than the earlier works in NP hard and MINLP. Hence, our contribution in this paper is significantly different from our earlier work in .…”

Section: Introductionmentioning

confidence: 66%

“…In , adaptive approximation algorithm for admission control, without mode selection, is adopted. In , authors propose an outer approximation algorithm (OAA) for joint admission control in D2D communication. A robust approximation algorithm has been proposed in , for a MIMO cognitive radio network utility maximization and admission control.…”

Section: Introductionmentioning

confidence: 99%

“…To make the algorithm robust, we have used only finite (four) directions shown in the figures with the help of stencils to improve performance of our MADS as compared with MADS in . The problem formulation in and this paper is almost similar with minor utility function representation differences. The authors in have used OAA approach for optimal solution of the problem.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mesh adaptive direct search approach for D2D resource management

Ahmad

Naeem

Ahmed

et al. 2016

Wireless Communications

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“…We consider τ N varying between -30 dB and 0 dB. Notice that for better clarity, we express in the simulations τ N in dB while in (6) τ N is without unit . It is seen that the optimal value of τ N is depends on the transmission power P t and also on the amount of D2D pairs in the system (see Fig.…”

Section: B Simulation Resultsmentioning

confidence: 99%

Combined Shared and Dedicated Resource Allocation for D2D Communication

Mach

Bečvář

Najla

2018

2018 IEEE 87th Vehicular Technology Conference (VTC Spring)

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Device-to-device (D2D) communication is an effective technology enhancing spectral efficiency and network throughput of contemporary cellular networks. Typically, the users exploiting D2D reuse the same radio resources as common cellular users (CUEs) that communicate through a base station. This mode is known as shared mode. Another option is to dedicate specific amount of resources exclusively for the D2D users in so-called a dedicated mode. In this paper, we propose novel combined share/dedicated resource allocation scheme enabling the D2D users to utilize the radio resources in both modes simultaneously. To that end, we propose a graph theory-based framework for efficient resource allocation. Within this framework, neighborhood relations between the cellular users and the D2D users and between the individual D2D users are derived to form graphs. Then, the graphs are decomposed into subgraphs to identify resources, which can be reused by other users so that capacity of the D2D users is maximized. The results show that the sum D2D capacity is increased from 1.67 and 2.5 times (depending on a density of D2D users) when compared to schemes selecting only between shared or dedicated modes.

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“…Matskani et al control admission of devices with the help of a dynamic algorithm based on adaptive approximation without exploitation of distance related information. Azam et al propose outer approximation algorithm to administer admission of devices in D2D mode. Maher et al address the interference management problem for underlay D2D communication in heterogeneous small cell network considering imperfect channel state information.…”

Section: Literature Reviewmentioning

confidence: 99%

Device‐centric communication in IoT: An energy efficiency perspective

Ahmad

Ali

Naeem

et al. 2019

Trans Emerging Tel Tech

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Emerging device‐centric communication technologies such as device‐to‐device (D2D) communication, devices‐to‐device (Ds2D) communication, and multi‐homing (MH) D2D have been considered as essential parts of future fifth‐generation networks as well as Internet of Things (IoT). The device‐centric communication offers enhanced cellular data rates, high spectral efficiency, reduced latency, improved fairness, better energy efficiency, and extended coverage; however, the battery life of end devices is crucial to fully reap the benefits of this technology. In this article, a new method for device‐centric communication in IoT system is introduced, where multiple source IoT devices (SIDs) can send data to multiple destination IoT devices (DIDs) using multiple radio resource blocks. This method is called devices‐to‐devices (Ds2Ds) communication. The objective is to select the optimal SIDs, DIDs, and radio resource blocks such that the total energy efficiency for all DIDs is maximized. A tree search algorithm is proposed to select the optimal SIDs, DIDs, and radio resource blocks. Extensive simulations have been carried out to compare energy efficiency per SID/DID for Ds2Ds, Ds2D, and MH‐D2D. The simulation results show the superiority of Ds2Ds over Ds2D in terms of energy efficiency, which, in turn, implies better throughput. Furthermore, Ds2Ds is superior to MH‐D2D in terms of energy consumption per source device, a very good and promising requirement for green communication.

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Joint Admission Control, Mode Selection, and Power Allocation in D2D Communication Systems

Cited by 61 publications

References 36 publications

Mesh adaptive direct search approach for D2D resource management

Mesh adaptive direct search approach for D2D resource management

Combined Shared and Dedicated Resource Allocation for D2D Communication

Device‐centric communication in IoT: An energy efficiency perspective

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