Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

Tao He,Xinquan Ye,Lieying Luo 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.5

Device-to-Device (D2D) communications potentially can improve spectrum efficiency because of resource spatial reuse. There are two possibilities for D2D resource allocation: contention-based resource allocation and scheduling-based resource allocation. In this paper, these resource allocation schemes are analyzed. Then, we propose a scheduling-based resource allocation that has the advantage of low scheduling overhead in addition to providing a common design for under the in-network coverage and out-of-network coverage. Simulation results show that the proposed algorithm can increase system throughput by exploring spatial reuse gain and maintain good proportional fairness among D2D communication pairs.

Study on the Allocation Problem of the Equipment Maintenance Support Resources

Wang Hongxia,Ye Xiaohui,Yin ming 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.7

Aiming at the problems of lacking of system engineering method for the equipment maintenance support resource allocation problem, the problem to be solved for resource allocation is proposed from the three hierarchical perspective which is “what to allocate , how to allocate, and how much to allocate”; from the three aspects of the demand analysis, allocation method, optimizing allocation, the connotation of the problem is described, and for the each problem the essence of the problem solving method is studied systematically; the proposed method can provide science and technology support for the equipment maintenance support resources allocation scheme in the design phase.

재정 투명성과 정부 간 자원배분: 특별교부세 지역현안수요분을 중심으로

유보람,조정래 한국지방정부학회 2024 지방정부연구 Vol.27 No.4

This study examined the impact of enhancing fiscal transparency on intergovernmental resource allocation. To do so, it investigated whether the revision of the Local Subsidy Act of 2009 and the disclosure of allocation information, focusing on the allocation of Special Revenue Sharing (SRS), brought about changes in the determinants of intergovernmental resource allocation. The SRS had faced criticism for having been arbitrarily distributed in the absence of reasonable allocation criteria. For this reason, efforts were made to enhance fiscal transparency through the 2009 revision of the Local Subsidy Act and the disclosure of allocation information. For empirical analysis, this study examined the changes in the mechanism of intergovernmental resource allocation before and after 2009 when fiscal transparency was enhanced. The analysis included 224 local governments, and a fixed effect model was used to analyze panel data of 2005, 2007, 2011, 2013, 2015, 2017, 2019. During this period, the amount of SRS allocated to each local government was used as the dependent variable, while political and socio-economic factors of each local government were employed as independent variables in the analytical model. As political factors this study used the number of terms, political parties, committee affiliations of members of National Assembly and the political party, reelection status, hometown, and approval rating of the heads of local governments. Fiscal self-reliance, population, the proportion of elderly population, and per capita property tax burden were used as socio-economic factors. The analysis results showed that after the enhancement of fiscal transparency in 2009, the role of local government heads decreased, while the role of members of National Assembly strengthened in intergovernmental resource allocation. It also revealed that a wider range of socio-economic factors were considered in resource allocation. In conclusion, while fiscal transparency did not exclude political influence from intergovernmental resource allocation, it empirically confirmed that socio-economic factors representing the financial demands of local governments were being considered more actively.

Resource Allocation for Cooperative Relay based Wireless D2D Networks with Selfish Users

( Jinxin Niu ),( Wei Guo ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.6

This paper considers a scenario that more D2D users exist in the cell, they compete for cellular resources to increase their own data rates, which may cause transmission interference to cellular users (CU) and the unfairness of resource allocation. We design a resource allocation scheme for selfish D2D users assisted by cooperative relay technique which is used to further enhance the users` transmission rates, meanwhile guarantee the QoS requirement of the CUs. Two transmission modes are considered for D2D users: direct transmission mode and cooperative relay transmission mode, both of which reuses the cellular uplink frequency resources. To ensure the fairness of resource distribution, Nash bargaining theory is used to determine the transmission mode and solve the bandwidth allocation problem for D2D users choosing cooperative relay transmission mode, and coalition formation game theory is used to solve the uplink frequency sharing problem between D2D users and CUs through a new defined “Selfish order”. Through theoretical analysis, we obtain the closed Nash bargaining solution under CUs` rate constraints, and prove the stability of the formatted coalition. Simulation results show that the proposed resource allocation approach achieves better performance on resource allocation fairness, with only little sacrifice on the system sum rates.

생산 현장에서 가상화 리소스 할당을 반영한 효율적인 AIoT 리소스 관리 기법

정윤수,김용태 한국정보기술학회 2023 한국정보기술학회논문지 Vol.21 No.8

As the convergence of artificial intelligence and the Internet of Things accelerates, many companies today use AIoT extensively in their industrial sites to increase competitiveness and efficiency. In industrial areas, computing-intensive and resource-intensive network edges are efficient, but resource capacity and power budgets require management methods that can increase low latency and energy efficiency. This paper proposes a virtualized resource allocation-based AIoT resource management technique that can simultaneously optimize the model performance(accuracy and robustness) and resource cost of AIoT resource management. The proposed method uses Lyapunov optimization theory to minimize bottlenecks in edge and cloud resources to perform continuous learning at a low cost-efficiently. In addition, the proposed technique continuously updates weights in the constant learning model of AIoT resources to minimize processing delays and network overhead of resources through virtualization resource allocation.

Virtual Resource Allocation based on Improved Particle Swarm Optimization in Cloud Computing Environment

Youwei Shao 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3

A major challenge facing cloud computing is virtual resource allocation with dynamic characteristics. Evaluation of a resource allocation strategy using a single aspect can no longer meet the real world demands. We resolve this issue from the perspectives of users and resource providers using a particle swarm algorithm for resource allocation. With this algorithm, we establish an allocation model using the shortest task completion time and the lowest cost as the constraints. The fast convergence rate of the particle swarm algorithm is then used to find the optimal solution for resource allocation. The velocity weight of each particle is self-adaptively adjusted based on the fitness value of each particle, resulting in an improvement in the global optimization and convergence capabilities. Finally, a simulation with the CloudSim platform shows that this algorithm can take into account the completion time and cost, which ensures the minimum cost in the shortest possible time to complete the task to improve resource utilization.

Information Structure of Innovation Resoruce Allocation in China

Li Yingbo 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10

We focus on issues concerning the designing method of information structure of innovation resource allocation. This paper outlines a theoretical framework of innovation resource allocation, including concept and patterns of innovation resource allocation. Then the paper provides the analysis of information structure and the effect on allocating innovation resource allocation. Furthermore, the paper discusses how to design information structure based on team model. The result of the model show that setting up favorite information structure with a center of sending out information is meaningful to heighten the efficiency of innovation resource allocation.

공간비용과 예산배분

김선영(Sun Young Kim) 한국정부학회 2011 한국행정논집 Vol.23 No.2

발생주의예산을 바탕으로 하고 있는 예산제도는 활용 가능한 모든 자원을 예산 배분의 범주에 포함한다는 것을 전제로 한다. 하지만 현재의 예산제도는 예산배분을 현금배분에 중점을 두고 있다. 이러한 현금 중심의 예산배분은 충분히 현금적 가치를 가지고 있는 자원의 배분을 고려하지 않기 때문에 예산 배분에 있어 적정성 문제와 나아가 정부자원 활용에 있어 효과성에 문제를 야기한다. 본 연구의 목적은 정부자원이지만 예산으로 고려되지 않는 자원, 그러나 그 사용에 대한 기회비용만으로 충분히 현금예산과 같은 가치를 가질 수 있는 자원인 공간을 그 임대비용을 통해 공간사용비를 산정하고 이를 예산배분을 위한 자원으로 제시하는 것에 있다. 이를 위해 국립대학인 경북대학교를 사례로 공간사용에 대한 비용을 추정하여 분석하 였다. 분석결과 공간비용은 일반예산의 규모에 상당한 정도로 근접한 금액이었으며, 일반예산에 비해 배분의 격차가 크며, 불평등도도 높았다. 따라서 상당한 정도의 비효율적인 예산배분이 이루어지고 있다는 것을 확인하였다. 그러므로 정부의 예산배분의 적정성과 사용의 효율성을 위해 정부자원인 공간을 공간비용 등의 계산을 통해 예산에 반영하도록 하는 제도적 장치의 도입이 필요하다. Although the budget system based on accrual basis budget premises that the category for budget allocation has to include all available resources to utilize, the budget allocation of the current budget system is focused on the cash distribution. The budget allocation of cash basis has caused problems related to the effectiveness in utilization of government resource and adequacy issues in allocation of government resource because it does not consider the all of the resources in budget allocation. The purpose of this study is to show the value of space as the target of budget allocation. Space which is not considered as resources for the budget allocation has enough value such as cash budget because the rental cost of space through the use of space has cash value like opportunity cost of using space. To do this, I estimated and analyzed space cost based on Kyungpook National University. The results of study is that presumed cost(value) of space was like the regular budget amount. In addition the gap of the budget allocation in estimating space cost through space use has more gap and inequality than the budget allocation in the regular budget. There is a considerable degree of inefficiency in budget allocation conducted. Therefore, the budget system as institutional mechanisms including space cost is needed.

A Study on an Optimal Resource Allocation Algorithm for Next Generation Mobile Satellite Communication Systems

Nakahira, Katsuya,Kobayashi, Kiyoshi,Ohata, Kohei,Ueba, Masazumi 통신위성우주산업연구회 2004 Joint Conference on Satellite Communications Vol.2004 No.-

To yield a large communication capacity in future mobile satellite communication systems, a multi-beam system must be employed that has extremely high levels of frequency reuse. This paper proposes a novel resource allocation algorithm for multi-beam satellite communication systems that can dynamically offer the virtually maximum communication capacity. The algorithm optimizes frequency bandwidth, satellite transmission power, modulation level and coding rate to each beam to deal with the ever changing traffic distribution considering interference between beams. First, the optimal resource allocation is found by evaluating capacities for all possible resource allocation patterns. Although, this primitive search takes a huge amount of computer calculation power, the achieved communication capacities are higher than with conventional ones such as fixed resource system. In addition, the results of analysis clarify the the optimal condition by which all clusters have the same bandwidth allocation ratio. Second, we propose an optimal resource allocation algorithm utilizing the aforementioned condition as a constraint. By using our algorithm, which is based on sequential quadratic programming, the calculation amount can be drastically reduced. It is confirmed that the algorithm allocate the same bandwidth as that by the amount can be drastically reduced. It is confirmed that the algorithm allocate the same bandwidth as that by the primitive search method for varieties of traffic model. This means that the preposed algorithm is applicable for multi-beam satellite resource allocation.

정당화 의무가 자원 할당 결정에 미치는 영향

한승희(Seung Hee Han) 한국마케팅학회 2011 마케팅연구 Vol.26 No.4

본 연구는 수혜자에 대한 정당화 의무 부여가 자원 할당 결정에 미치는 영향을 조사하였다. 구체적으로, 자원 활용의 효율성은 떨어지지만 형평성 측면에서 뛰어난 균등 배분 옵션과 형평성은 떨어지지만 효율성 측면에서 뛰어난 비균등 배분 옵션 사이의 선호도가 어떻게 변화하는지를 살펴보았다. 연구 결과, 의사 결정자에게 자신의 결정을 수혜자에게 설명하도록 요구하는 경우 균등 배분에 대한 선호가 유의미하게 증가함이 확인되었다. 이는 정당화 의무가 부여되었을 때 공정성에 대한 지각이 변화하는 것과 관련이 있는데, 정당화 의무 하에서는 결과를 중심으로 보상을 결정하는 것이 공정하다고 보는 결과 중심의 공정성 지각이 감소하고 투자한 시간이나 노력을 중심으로 보상을 결정하는 것이 공정하다고 보는 투입 중심의 공정성 지각이 증가한 것으로 나타났다. 하지만 이러한 연구 결과와는 달리, 사람들은 자신의 의사 결정은 수혜자에 대한 정당화 의무의 영향을 받지 않을 것으로 예상했다. 본 연구는 최근 많은 관심을 받고 있는 마케팅 자원 할당과 관련하여 마케팅 매니저에게 수혜자에 대한 정당화 의무를 부여하는 것이 자원 할당의 효율성 측면에서 부정적인 영향을 줄 수 있음을 시사하고 있다. The allocation of resource is a pervasive human activity. We must all allocate our budget for necessities, food, and leisure activities and allocate those budgets again within each category. The same goes for marketing managers. With firms spending sizable amount of money on marketing activities, marketing managers bear the responsibility to optimally allocate these resources and demonstrate that these investments generate appropriate returns for the firm. Allocating marketing resources, however, is no simple decision. The emergence of new marketing tools such as social networking and word of mouth marketing is making the decision even more complicated. It is not easy to isolate the effect of a marketing tool in this dynamic business environment. Although there are many decision aids developed to help allocating marketing resources, still much are left to manager`s subjective judgment. Allocation of marketing resources is a difficult managerial decision because, in most cases, it will require making decisions that will displease identifiable parties. This is especially true if a manager tries to remove funds from under-performing programs and to add funds to successful programs in an attempt to increase the overall return on marketing investments. Giving some-to-all, although it would hobble every programs` capacity to achieve objectives, allows a manager to avoid the interpersonally and politically difficult situation of giving less-to-some. For this reason, managers tend to unduly prefer an even split of resources to an uneven split. Organizations often hold decision makers accountable for important decisions in the hope that the social pressure of having to justify their decision will improve decision-making, productivity, and outcome. Indeed many people expect that simply requiring someone to explain their decisions to others will promote more careful thought processes and better decision outcomes. One might suppose, therefore, that accountability for their allocation decision will encourage managers to make a difficult decision of giving less-to-some. However, findings to date suggest that only highly specialized subtypes of accountability lead to better decision outcomes and that people often cope with accountability by simply seeking out the most expedient and obviously acceptable position. There are reasons to believe, therefore, that accountability for their allocation decision might just backfire and encourage managers to further avoid making a difficult decision of giving less-to-some. The present studies used real resource allocations to examine the effects of recipient accountability on resource allocation decision. In the studies, participants evaluated two other participants` responses on a creativity test and made a binary choice regarding how to reward the other participants` performance. The choice set included: (a) awarding 5000 Won to both participants or (b) awarding 8000 Won to the participant who performed better and awarding 4000 Won to the other. Half of the participants were randomly assigned to an accountability condition, wherein they were informed ahead of making a choice that they would need to justify the basis for their choice to the recipients of the allocations. Results revealed that recipient accountability encouraged participants to avoid making difficult decision of giving less-to-some. Whereas participants in the control (unaccountable) condition were more likely to choose option b (the uneven division), accountable participants were much more likely to choose option a (even division). The reasons provided by participants for their allocation decision revealed that such difference was associated with different perceptions of fairness. Whereas participants in the control condition were more likely to think that it is only fair to reward participants based on the excellence of their performance, accountable participants were more likely to think that it is only fair to reward participants ba