{"title":"Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks","authors":"Jun Ma, Guodong Zhao, Geoffrey Y. Li","doi":"10.1109/T-WC.2008.070941","DOIUrl":"https://doi.org/10.1109/T-WC.2008.070941","url":null,"abstract":"In this paper, we consider cooperative spectrum sensing based on energy detection in cognitive radio networks. Soft combination of the observed energy values from different cognitive radio users is investigated. Maximal ratio combination (MRC) is theoretically proved to be nearly optimal in low signal- to-noise ratio (SNR) region, an usual scenario in the context of cognitive radio. Both MRC and equal gain combination (EGC) exhibit significant performance improvement over conventional hard combination. Encouraged by the performance gain of soft combination, we propose a new softened hard combination scheme with two-bit overhead for each user and achieve a good tradeoff between detection performance and complexity. While traditionally energy detection suffers from an SNR wall caused by noise power uncertainty, it is shown in this paper that an SNR wall reduction can be achieved by employing cooperation among independent cognitive radio users.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125731172","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}
{"title":"LDPC Codes with BDPSK and Differential Detection Over Flat Rayleigh Fading Channels","authors":"V. T. Nam, P. Kam, Yan Xin","doi":"10.1109/GLOCOM.2007.615","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.615","url":null,"abstract":"We derive the correct log-likelihood differential detection metric for iterative decoding of LDPC codes transmitted with BDPSK modulation over Rayleigh fading channels. This metric does not require estimation of the amplitudes of the complex channel gains, showing that existing metrics in the literature that require estimation of amplitudes of channel gains are suboptimum. Simulation results confirm that an intentional SNR underestimation further improves BEP.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115127353","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}
{"title":"Distortion Analysis for Real-Time Data Gathering of Spatially-Temporally Correlated Fields in Sensor Networks","authors":"Xiaobo Zhang, Heping Wang, A. Khokhar","doi":"10.1109/GLOCOM.2007.160","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.160","url":null,"abstract":"This paper presents a framework for analyzing spatio- temporal distortion associated with data gathering algorithms in sensor networks,. We assume that the underlying data field being sensed is spatially and -temporally correlated and the sink performs real-time reconstruction of the field. Unlike existing work, our analysis framework incorporates realistic network/routing parameters, such as congestion and limited transmission range. Our numerical simulations show that even for a simple collision-free transmission scheme and regular grid deployment, the distortion analyses yield starkly different results when network parameters are considered. The analytical method presented in this paper can be easily extended to consider multidimensional deployments, different transmission schemes, nodes distributions, and reconstruction methods.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115295380","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}
{"title":"OFDMA Downlink Resource Allocation for Ergodic Capacity Maximization with Imperfect Channel Knowledge","authors":"I. Wong, B. Evans","doi":"10.1109/GLOCOM.2007.708","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.708","url":null,"abstract":"In this paper, we derive an optimal resource allocation algorithm for ergodic weighted-sum capacity maximization in OFDMA systems assuming the availability of only partial (imperfect) CSI. Using a dual optimization framework, we show that the optimal power allocation is multi-level waterfilling based on the conditional expected value of the channel-to-noise ratio, and the optimal user is selected based on the maximum weighted conditional expected capacity penalized by the required power. The algorithm is shown to have O(MK) complexity for an OFDMA system with K used subcarriers and M active users, and achieves relative duality gaps of less than 10-5 (99.99999% optimal).","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115422877","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}
{"title":"Cross Layer Interference Mitigation Using Spectrum Sensing","authors":"S. Srikanteswara, Guoqing Li, C. Maciocco","doi":"10.1109/GLOCOM.2007.675","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.675","url":null,"abstract":"Spectrum sensing for interference mitigation is, in the broad sense, the ability to detect and interpret other signals in the band and take appropriate actions by implementing adaptive techniques in the MAC layer in addition to traditional interference cancellation techniques applied in the PHY layer. In this paper we present algorithms to detect interference to WLAN systems in the 2.4 GHz spectrum originating from microwave ovens (MWO) or frequency hopping devices like cordless phone, and methods to mitigate the interference. The concept can be extended to other coexistence issues as well as spectrum sharing between primary and secondary users of a spectrum.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115687893","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}
{"title":"Analysis of the Probabilities of Collision in the IEEE 802.11 DCF","authors":"Byung-Jae Kwak, Nah-Oak Song","doi":"10.1109/GLOCOM.2007.972","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.972","url":null,"abstract":"A new accurate analysis model of the IEEE 802.11 DCF is presented. The analysis model is based on a close observation of the IEEE 802.11 DCF behavior. We observe that an infinite number of probabilities of collision need to be defined to accurately represent the behavior of the IEEE 802.11 DCF. Simulation results are included to verify the analytical results.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121809518","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}
{"title":"Performance Analysis for a Suboptimum ML Receiver in Decode-and-Forward Communications","authors":"Weifeng Su","doi":"10.1109/GLOCOM.2007.561","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.561","url":null,"abstract":"In this paper, a closed-form bit-error-rate (BER) performance analysis is presented for a suboptimum maximum- likelihood (ML) receiver in decode-and-forward (DF) cooperative wireless communications. The suboptimum ML receiver assumes that an average probability of decoding error at the relay is available at the destination, which depends only on the variance of the source-relay channel link. A by-product of the analysis is that we can obtain a BER analytical result for the DF cooperative protocol using an equal-gain-combining receiver at the destination. Simulation results are presented to validate the theoretical analvsis.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124243903","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}
C. B. Rodríguez-Estrello, F. A. Cruz-Pérez, G. Hernández-Valdez
{"title":"System Level Performance Metrics in Mobile Wireless Communication Networks Considering Both Resource Insufficiency and Link Unreliability","authors":"C. B. Rodríguez-Estrello, F. A. Cruz-Pérez, G. Hernández-Valdez","doi":"10.1109/GLOCOM.2007.496","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.496","url":null,"abstract":"Teletrafflc modeling of mobile communication networks has been commonly addressed by considering only resource insufficiency, while the effect of the unreliability nature of wireless channels has been largely ignored because of the complexity involved in its study. To fill this void, a general analytical model for the system level performance evaluation of mobile wireless networks taking into account both resource insufficiency and link unreliability is proposed and mathematically analyzed in this paper. In the mathematical analysis, for the sake of generality, the involved time variables (i.e., cell dwell time, unencumbered call interruption time, and channel holding time) are considered to have a general probability distribution. Then, original and easily computable mathematical expressions for many fundamental system level performance metrics are derived. The proposed analytical model allows obtaining more general and realistic results.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"42 S3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120841759","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}
A. Dutta, Sambuddho Chakravarty, K. Taniuchi, V. Fajardo, Y. Ohba, D. Famolari, H. Schulzrinne
{"title":"An Experimental Study of Location Assisted Proactive Handover","authors":"A. Dutta, Sambuddho Chakravarty, K. Taniuchi, V. Fajardo, Y. Ohba, D. Famolari, H. Schulzrinne","doi":"10.1109/GLOCOM.2007.390","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.390","url":null,"abstract":"Traditionally, signal-to-noise ratio of a mobile determines the handoff dynamics of the mobile. But in certain cases, precise location of the mobile augmented by information services, such as IEEE 802.21 MIS, can expedite the handoff with similar performance results. We illustrate an experimental system that takes advantage of the mobile's relative location with the neighboring access point to perform proactive handoff. It keeps track of the current location of the mobile and then uses the information from the neighboring networks to help perform the proactive handoff. Proactive handover technique helps the mobile to communicate with these networks before the handover is complete thereby reducing the delay and packet loss. In some cases, location-assisted handover could prove to be more useful compared to the handover technique based on signal-noise-ratio.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121129623","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}
{"title":"ELIAS: Every Location Is A Storage","authors":"Kihwan Kim, Toby Xu, Ying Cai","doi":"10.1109/GLOCOM.2007.164","DOIUrl":"https://doi.org/10.1109/GLOCOM.2007.164","url":null,"abstract":"Our physical environment is a natural storage where we are used to store and share information. A stop sign, for instance, is such a piece of information that is stored on a particular location. In this paper, we assume a fully distributed mobile networking system and investigate the challenges of enabling the system to treat its underlying geographic environment as a virtual storage disk. Specifically, our research aims at developing a platform that allows one to conceptually save/retrieve a data item to/from a location. Since this capability can be used in a broad range of applications, the proposed platform can serve as a common underlay for developing and running these applications. We propose a cost-effective implementation of this platform. For the purpose of performance evaluation, we develop a detailed analytical model and verify its accuracy using simulation.","PeriodicalId":370937,"journal":{"name":"IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127261226","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}