Joint optimization for downlink resource allocation in cognitive radio cellular networks

Yao, Wenjuan; Wang, Ying; Wang, Tan

doi:10.1109/ccnc.2011.5766565

Cited by 34 publications

(20 citation statements)

References 9 publications

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“…The direction of increasing time is directed edges between nodes direction. The condition (2) represents the jumps of the matching results represented by two nodes in the time direction can not exceed a certain threshold, otherwise there is no correlation between the two matching results. According to the above methods and conditions, there is obviously a directed acyclic graph in the matching results figure.…”

Section: Resultsmentioning

confidence: 99%

“…Content-based video retrieval pays more attention to the overall similarity of the query video and the goal video, that is, more of a "one to one" relationship, while for near duplicated video detection, its similarity retrieval may face more matches in the form. These matching forms can be summarized as "one-one", "one-many" and "many-many" [2]. These three forms are described in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application Of Segmentation Of Object Video In Robot

Gong¹

2015

Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

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Abstract. In order to eliminate the redundancy of the video on visual information and improve the matching speed of video sub-sequence, an efficient solution is to extract a set key frame which is far less than an entire video frame to represent the video content. The common practice of extracting the video key frames is to split the video camera, and then extract the key frames in visual content which is most representative of the lens from each lens. The method based on shot segmentation has limitations in the two aspects. There is redundant visual information on the lens with similar content; When the query video is very short (less than 5s), the granularity of key frame extraction is difficult to ensure the accuracy of detection.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application Of Segmentation Of Object Video In Robot

Gong¹

2015

Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

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“…A group of papers had non-linear objective functions, in many instances in MIMO-OFDMA downlink RA, and defined their objective functions as throughput. Those papers include, ( [34], [35], [36], [6], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], and [47]). As mentioned earlier throughput is based on Shannon capacity formula which is non-linear in power allocated, so the non-linearity of the objective function could not be avoided.…”

Section: B Non-linear Objective Functionmentioning

confidence: 99%

Mixed-integer programming based techniques for resource allocation in underlay cognitive radio networks: A survey

et al. 2016

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For about the past decade and a half research efforts into cognitive radio networks (CRNs) have increased dramatically. This is because CRN is recognized as a technology that has the potential to squeeze the most out of the existing spectrum and hence virtually increase the effective capacity of a wireless communication system. The resulting increased capacity is still a limited resource and its optimal allocation is a critical requirement in order to realize its full benefits. Allocating these additional resources to the secondary users (SUs) in a CRN is an extremely challenging task and integer programming based optimization tools have to be employed to achieve the goals which include, among several aspects, increasing SUs throughput without interfering with the activities of primary users (PUs). The theory of the optimization tools that can be used for resource allocations (RA) in CRN have been well established in the literature; convex programming is one of them, in fact the major one. However when it comes to application and implementation, it is noticed that the practical problems do not fit exactly into the format of well established tools and researchers have to apply approximations of different forms to assist in the process. In this survey paper, the optimization tools that have been applied to RA in CRNs are reviewed. In some instances the limitations of techniques used are pointed out and creative tools developed by researchers to solve the problems are identified. Some ideas of tools to be considered by researchers are suggested, and direction for future research in this area in order to improve on the existing tools are presented.

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“…It can sense the large amount of data such as audio, video, images and multimedia information, and has broad application prospects in the environmental monitoring, the battlefield monitoring, and intelligent household and other fields [1][2][3]. Images, however, as one of the most important sensory information to WMSNs , has a large amount of data and high complexity and demanding memory requirement, and resources serious limitations of a single node is difficult to achieve image processing and transmission, we need to compress the original image before transmission [4][5][6]. Therefore, WMSNs can percept the rich information multimedia to finish the environmental monitoring task of fine-grained and accurate information.…”

Section: Introductionmentioning

confidence: 99%