2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)最新文献

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OFDM-Based Dynamic Spectrum Access 基于ofdm的动态频谱接入
2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN) Pub Date : 2010-04-06 DOI: 10.1109/DYSPAN.2010.5457917
M. Živković, Dominik Auras, R. Mathar
{"title":"OFDM-Based Dynamic Spectrum Access","authors":"M. Živković, Dominik Auras, R. Mathar","doi":"10.1109/DYSPAN.2010.5457917","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457917","url":null,"abstract":"Optimal utilization of radio resources (bandwidth, transmit power) in multi-carrier based systems becomes very challenging due to coexistence of various wireless standards within the same frequency band. One possible solution is dynamic spectrum access (DSA) approach that allows several standards or users to opportunistically share the available spectrum resources without introducing mutual interference. Proposed demonstration, implemented in GNU Radio framework, enables interference-free coexistence of two OFDM-based systems within a common frequency band with optimally configured transmission parameters for given system constraints. Furthermore, a highly reconfigurable framework allows for implementation and evaluation of various transmission strategies for different DSA scenarios, different classes of given requirements and various sets of controllable parameters.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128832044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Block Edge Mask Baseline Limits for Mobile Communication Network Base Stations in the 790-862 MHz Digital Dividend Spectrum 790-862 MHz数字红利频谱中移动通信网络基站的块边缘掩码基线限制
2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN) Pub Date : 2010-04-06 DOI: 10.1109/DYSPAN.2010.5457869
H. Karimi, G. Lapierre, T. O’Leary, W. Sami, G. Warren, Martin Fenton
{"title":"Block Edge Mask Baseline Limits for Mobile Communication Network Base Stations in the 790-862 MHz Digital Dividend Spectrum","authors":"H. Karimi, G. Lapierre, T. O’Leary, W. Sami, G. Warren, Martin Fenton","doi":"10.1109/DYSPAN.2010.5457869","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457869","url":null,"abstract":"NA","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"630 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115111865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Learning Multiuser Channel Allocations in Cognitive Radio Networks: A Combinatorial Multi-Armed Bandit Formulation 认知无线网络中学习多用户信道分配:一种组合多臂强盗公式
2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN) Pub Date : 2010-04-01 DOI: 10.1109/DYSPAN.2010.5457857
Yi Gai, B. Krishnamachari, Rahul Jain
{"title":"Learning Multiuser Channel Allocations in Cognitive Radio Networks: A Combinatorial Multi-Armed Bandit Formulation","authors":"Yi Gai, B. Krishnamachari, Rahul Jain","doi":"10.1109/DYSPAN.2010.5457857","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457857","url":null,"abstract":"We consider the following fundamental problem in the context of channelized dynamic spectrum access. There are $M$ secondary users and $N ge M$ orthogonal channels. Each secondary user requires a single channel for operation that does not conflict with the channels assigned to the other users. Due to geographic dispersion, each secondary user can potentially see different primary user occupancy behavior on each channel. Time is divided into discrete decision rounds. The throughput obtainable from spectrum opportunities on each user-channel combination over a decision period is modeled as an arbitrarily-distributed non-negative random variable with bounded support but unknown mean, i.i.d. over time. The objective is to search for an allocation of channels for all users that maximizes the expected sum throughput. We formulate this problem as a combinatorial multi-armed bandit (MAB), in which each arm corresponds to a matching of the users to channels. Unlike most prior work on multi-armed bandits, this combinatorial formulation results in dependent arms. Moreover, the number of arms grows super-exponentially as the permutation $P(N,M)$. We present a novel matching-learning algorithm with polynomial storage and polynomial computation per decision period for this problem, and prove that it results in a regret (the gap between the expected sum-throughput obtained by a genie-aided perfect allocation and that obtained by this algorithm) that is uniformly upper-bounded for all time $n$ by a function that grows as $O(M^4 N log n)$, i.e. polynomial in the number of unknown parameters and logarithmic in time. We also discuss how our results provide a non-trivial generalization of known theoretical results on multi-armed bandits.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126092589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 225
Competition with Dynamic Spectrum Leasing 与动态频谱租赁的竞争
2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN) Pub Date : 2010-03-29 DOI: 10.1109/DYSPAN.2010.5457903
Lingjie Duan, Jianwei Huang, Biying Shou
{"title":"Competition with Dynamic Spectrum Leasing","authors":"Lingjie Duan, Jianwei Huang, Biying Shou","doi":"10.1109/DYSPAN.2010.5457903","DOIUrl":"https://doi.org/10.1109/DYSPAN.2010.5457903","url":null,"abstract":"Dynamic spectrum leasing can greatly enhance the spectrum efficiency and encourage more flexible services in the spectrum market. This paper presents a detailed analytical study of the strategic interactions of two competing secondary network operators (duopoly) who need to make optimal investment (leasing) and pricing decisions while taking secondary endusers' heterogeneous wireless characteristics into consideration. The operators need to determine how much to lease from the spectrum owner, and compete to sell the spectrum to secondary users to maximize their individual profits. We model the system as a three-stage multi-leader dynamic game. Both the operators' equilibrium investment and pricing decisions turn out to have nice threshold properties. Each secondary user receives a fair equilibrium resource allocation that only depends on the leasing cost of the operators and is independent of other users' channel conditions and transmission powers. To further understand the impact of competition, we compare the duopoly equilibrium result with the coordinated case where the two operators cooperate to maximize the total profit. We show that the Price of Anarchy of the two operators' total profit is 82% with symmetric leasing costs, i.e., the maximum loss of the total profit due to competition is no larger than 18%. We also show that competition always leads to better payoffs for users compared with the coordinated case.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121431201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 70
The Viability of Spectrum Trading Markets 频谱交易市场的可行性
2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN) Pub Date : 2009-08-15 DOI: 10.1109/MCOM.2011.5723799
C. Caicedo, M. Weiss
{"title":"The Viability of Spectrum Trading Markets","authors":"C. Caicedo, M. Weiss","doi":"10.1109/MCOM.2011.5723799","DOIUrl":"https://doi.org/10.1109/MCOM.2011.5723799","url":null,"abstract":"Spectrum trading markets are of growing interest to many spectrum management agencies. They are motivated by their desire to increase the use of market based mechanisms for spectrum management and reduce their emphasis on command and control methods. Despite the liberalization of regulations on spectrum trading in some countries, spectrum markets have not yet emerged as a key spectrum assignment component. The lack of liquidity in these markets is sometimes cited as a primary factor in this outcome. This work focuses on determining the conditions for viability of spectrum trading markets by considering scenarios with different market structures, number of trading participants and amount of tradable spectrum. We make use of Agent-Based Computational Economics (ACE) to analyze each market scenario and the behaviors of its participants. Our models indicate that spectrum markets can be viable in a service if sufficient numbers of market participants exist and the amount of tradable spectrum is balanced to the demand. We use the results of this analysis and the characteristics of the viable markets found to make recommendations for the design of spectrum trading markets. Further work will explore more complicated scenarios.","PeriodicalId":106204,"journal":{"name":"2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129366493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
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