A resource intensive traffic-aware scheme using energy-aware routing in cognitive radio networks

Bourdena, Athina; Mavromoustakis, Constandinos X.; Kormentzas, George; Pallis, Evangelos; Mastorakis, George; Yassein, Muneer Bani

doi:10.1016/j.future.2014.02.013

Cited by 62 publications

(27 citation statements)

References 23 publications

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“…Based on which kinds of frequency bands (namely, licensed bands and unlicensed bands) have been used for D2D transmission in past studies, D2D transmission can be divided into the following four categories: (1) D2D transmission using only licensed bands (such as that described in [11][12][13][14][15][16][17][18][19][20][21][22][23][24]); (2) D2D transmission using only unlicensed bands (such as that described in [11,[24][25][26][27][28][29][30][31]); (3) D2D transmission using either licensed or unlicensed bands in a selective manner (such as that described in [32,33]); and (4) D2D transmission using both the licensed and unlicensed bands simultaneously (such as that described in [34]). Regarding the first two categories, Asadi et al [11] presented a D2D communication survey and overview showing that the traffic loads and transmission delays encountered by BSs can be effectively ameliorated by D2D connections, with such connections simultaneously having the effects of increased system throughput and improved energy usage efficiency (which result, in turn, in reductions in the total amount of power expended by a network).…”

Section: Related Workmentioning

confidence: 99%

“…Also in 2013, a study by Mastorakis et al [28] proposed an energy-efficient routing scheme as a potential option for increasing the data transmission reliability and energy efficiency of communication devices with heterogeneous radio spectrum availability. Subsequently, in 2014, this study by Mastorakis et al [28] was expanded upon still further, in research by Bourdena et al [29]. At the same time, channel access issues are raised whenever multiple devices are attempting to make D2D transmissions over unlicensed bands, especially for situations in which all the devices in question share the same goal in terms of content dissemination.…”

Section: Related Workmentioning

confidence: 99%

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Energy-Efficient Use of Licensed and Unlicensed Bands in D2D-Assisted Cellular Network Systems

Chung

2017

Energies

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Abstract:To date, the amount of research conducted regarding the subject of energy-efficient transmission in device-to-device (D2D)-assisted cellular network systems simultaneously utilizing both licensed and unlicensed bands is lacking. This topic is of substantial relevance to emerging 5th-generation (5G) cellular network systems, so the present study was conducted in order to address it in a practical manner. Specifically, this study proposes a simple yet effective algorithm aimed at ensuring efficient energy usage when such network systems make transmissions while utilizing both licensed and unlicensed bands. Based on novel system configurations with respect to bandwidth and link mode configurations, the proposed D2D-assisted transmission algorithm was designed with a system-level perspective in mind in order to yield greater efficiency in terms of transmission mode selection and link mode selection. As a result of these features, the proposed algorithm can not only maintain acceptable rates of transmission for all the connected users, but can also enhance system performance by a significant degree in terms of both energy efficiency and connection efficiency. Moreover, the results of simulations conducted to test the algorithm indicate that it is not only feasible, but, given its simple yet effective design, also easy to implement, such that it can serve as a valuable reference for the operators of 5G networks.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Use of Licensed and Unlicensed Bands in D2D-Assisted Cellular Network Systems

Chung

2017

Energies

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“…While there have been a large number of separate investigations into clustering [15,16] and routing [17][18][19], there is only a perfunctory attempt to investigate cluster-based routing schemes in CRNs.…”

Section: Cluster-based Routing Algorithmsmentioning

confidence: 99%

SMART: A SpectruM-Aware ClusteR-based rouTing scheme for distributed cognitive radio networks

et al. 2015

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Cognitive radio (CR) is the next-generation wireless communication system that allows unlicensed users (or secondary users, SUs) to exploit the underutilized spectrum (or white spaces) in licensed spectrum whilst minimizing interference to licensed users (or primary users, PUs). This article proposes a SpectruM-Aware clusteR-based rouTing (SMART) scheme that enables SUs to form clusters in a cognitive radio network (CRN) and enables each SU source node to search for a route to its destination node on the clustered network. An intrinsic characteristic of CRNs is the dynamicity of operating environment in which network conditions (i.e., PUs' activities) change as time goes by. Based on the network conditions, SMART enables SUs to adjust their cluster size, which represents the number of nodes in a cluster, and searches for a route on the clustered network using an artificial intelligence approach called reinforcement learning. Simulation results show that SMART selects stable routes and significantly reduces interference to PUs, as well as, routing overhead in terms of route discovery frequency without significant degradation of throughput and end-to-end delay.

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“…In addition, 5G mobile networks will be able to operate exploiting under-utilized radio spectrum portions, such as the TV White Spaces (TVWS) [11,12]. TVWS include a large portion of radio spectrum that is especially available at regional level to support the design and deployment of low cost and low power mobile systems due to superior propagation conditions [13].…”

Section: Existing Mobile Technologies For Energy Conservationmentioning

confidence: 99%

An energy-aware scheme for efficient spectrum utilization in a 5G mobile cognitive radio network architecture

et al. 2014

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This paper proposes an energy-efficient delayaware cooperative scheme, exploited for efficient resource management and maximum energy conservation in a 5G mobile cognitive radio network architecture. The proposed scheme is based on the comparison of the queuing delays of both the secondary nodes and the Radio Access Points, when delay sensitive transmission is requested, providing optimal TV White Spaces exploitation via a spectrum broker. The spectrum broker manages the process of the energy consumption of the 5G mobile communication systems, according to the proposed delay-aware cooperative scheme and the comparative evaluation of the queuing delays. The validity of the performance of the scheme is verified through extended simulation tests, carried out under controlled experimental conditions.

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A resource intensive traffic-aware scheme using energy-aware routing in cognitive radio networks

Cited by 62 publications

References 23 publications

Energy-Efficient Use of Licensed and Unlicensed Bands in D2D-Assisted Cellular Network Systems

Energy-Efficient Use of Licensed and Unlicensed Bands in D2D-Assisted Cellular Network Systems

SMART: A SpectruM-Aware ClusteR-based rouTing scheme for distributed cognitive radio networks

An energy-aware scheme for efficient spectrum utilization in a 5G mobile cognitive radio network architecture

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