Quality-Optimized Joint Source Selection and Power Control for Wireless Multimedia D2D Communication Using Stackelberg Game

Wang, Qin; Wang, Wei; Jin, Shi; Zhu, Hongbo; Zhang, Nai Tong

doi:10.1109/tvt.2014.2355594

Cited by 80 publications

(33 citation statements)

References 19 publications

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“…Solving of equation (17) needs accessible full channel matrix. An algorithm with low complexity has been proposed in [77], based on game-theory, for selection of source and controlling power. It uses stackelberg game model to show the impact of improvement in D2D transmission quality.…”

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confidence: 99%

Device-to-Device Communication in Cellular Networks: A Survey

Gandotra

Jha

2016

Journal of Network and Computer Applications

257

123

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Abstract-A constant need to increase the network capacity for meeting the growing demands of the subscribers has led to the evolution of cellular communication networks from the first generation (1G) to the fifth generation (5G). There will be billions of connected devices in the near future. Such a large number of connections are expected to be heterogeneous in nature, demanding higher data rates, lesser delays, enhanced system capacity and superior throughput. The available spectrum resources are limited and need to be flexibly used by the mobile network operators (MNOs) to cope with the rising demands. An emerging facilitator of the upcoming high data rate demanding next generation networks (NGNs) is device-to-device (D2D) communication. An extensive survey on device-to-device (D2D) communication has been presented in this paper, including the plus points it offers; the key open issues associated with it like peer discovery, resource allocation etc, demanding special attention of the research community; some of its integrant technologies like millimeter wave D2D (mmWave), ultra dense networks (UDNs), cognitive D2D, handover procedure in D2D and its numerous use cases. Architecture is suggested aiming to fulfill all the subscriber demands in an optimal manner. The Appendix mentions some ongoing standardization activities and research projects of D2D communication.Index Terms-Mobile network operators (MNOs), peer discovery, ultra dense networks (UDNs), millimeter wave (mmWave), next generation networks (NGNs), device-to-device (D2D) communication I. INTRODUCTIONoday the number of hand-held devices is drastically increasing, with a rising demand for higher data rate applications. In order to meet the needs of the next generation applications, the present data rates need a refinement. The fifth generation (5G) networks are expected and will have to fulfill these rising demands. A competent technology of the next generation networks (NGNs) is Deviceto-Device (D2D) Communication, which is expected to play an indispensable role in the approaching era of wireless communication. The use of D2D communication did not gain much importance in the previous generations of wireless communication, but in 5G networks, it is expected to be a vital part. The rising trends between the devices, enhance spectral efficiency and system capacity [2], with reduced latency within the networks. Such a technique is essential for fulfilling the chief goals of the mobile network operators (MNOs).D2D communication allows communication between two devices, without the participation of the Base Station (BS), or the evolved NodeB (eNB). Proximate devices can directly communicate with each other by establishing direct links. Due to the small distance between the D2D users, it supports power saving within the network, which is not possible in case of conventional cellular communication.It promises improvement in energy efficiency, throughput and delay. It has the potential to effectively offload traffic from the network core. Hence, it is a very ...

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confidence: 99%

Device-to-Device Communication in Cellular Networks: A Survey

Gandotra

Jha

2016

Journal of Network and Computer Applications

257

123

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“…(6) end if (7) if node ∈ 1 , calculate self-energy-consumption and add it to its information. (8) end for (9) end for (10) Sink node receive data from node V ∈ 1 (11) Sink node select max energy consumption value from data received, broadcast it to all node (12) for = 1 to ⌈ / ⌉: (13) for = 1 to ℎ : (14) node V in ( , ) receives the max energy consumption value (15) node V in ( , ) calculates and adjusts transmitting power according to max energy consumption value (16) node V in ( , ) calculates the new (17) end for (18) end for Algorithm 1: Adaptive transmitting power algorithm.…”

Section: Aprf Schemementioning

confidence: 99%

“…In addition to network lifetime, reliable data collection is another important performance metric [13][14][15]. Since the main goal of wireless sensor networks is to provide a wide variety of data for various applications in order to make decisions based on the resulting data, highly reliable data collection is of great importance to the network and applications [16,17].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

Teng

Liu

et al. 2018

Wireless Communications and Mobile Computing

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In wireless sensor networks (WSNs), many applications require a high reliability for the sensing data forwarding to sink. Due to the lossy nature of wireless channels, achieving reliable communication through multihop forwarding can be very challenging. Broadcast technology is an effective way to improve the communication reliability so that the data can be received by multiple receiver nodes. As long as the data of any one of the receiver nodes is transmitted to the sink, the data can be transmitted successfully. In this paper, a cross-layer optimization protocol named Adaptive transmission Power control based Reliable data Forwarding (APRF) scheme by using broadcast technology is proposed to improve the reliability of network and reduce communication delay. The main contributions of this paper are as follows: (1) for general data aggregation sensor networks, through the theoretical analysis, the energy consumption characteristics of the network are obtained. (2) According to the case that the energy consumption of nearsink area is high and that in far-sink area is low, a cross-layer optimization method is adopted, which can effectively improve the data communication by increasing the transmission power of the remaining energy nodes. (3) Since the reliability of communication is improved by increasing the transmission power of the node, the number of retransmissions of the data packet is reduced, so that the delay of the packet reaching the sink node is reduced. The theoretical and experimental results show that, applying APRF scheme under initial transmission power of 0 dBm, although the lifetime dropped by 13.77%, delay could be reduced by 40.37%, network reliability could be reduced by 10.08%, and volume of data arriving at sink increased by 10.08% compared with retransmission-only mechanism.

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“…Device-to-device (D2D) communications have been considered as a promising approach to improve spectrum and power efficiency [4]- [5] and offload traffic from cellular networks. For example, some UEs which have downloaded frequently requested content can store and share these content to other UEs via D2D links and avoid repeatedly downloading from the BS [6].…”

Section: Introductionmentioning

confidence: 99%

A Signaling-Based Incentive Mechanism for Device-to-Device Content Sharing in Cellular Networks

et al. 2017

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Abstract-In this letter, we model the Device-to-device (D2D) content sharing problem as a labor market where the base station (BS) acts as the principal and content providers serve as agents. A signaling-based content-sharing incentive (SCSI) mechanism is designed to encourage candidate content providers to participate in content sharing, and the optimal strategy for each content provider is derived to maximize their utility (monetary profit) while guaranteeing a non-negative utility for the BS. Simulation results show that the proposed SCSI mechanism can increase the content provider's utility and participating enthusiasm in D2D content sharing.

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Quality-Optimized Joint Source Selection and Power Control for Wireless Multimedia D2D Communication Using Stackelberg Game

Cited by 80 publications

References 19 publications

Device-to-Device Communication in Cellular Networks: A Survey

Device-to-Device Communication in Cellular Networks: A Survey

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

A Signaling-Based Incentive Mechanism for Device-to-Device Content Sharing in Cellular Networks

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