P. Karunakaran, Thomas Wagner, A. Scherb, W. Gerstacker
{"title":"On simultaneous sensing and reception for cognitive LTE-A systems","authors":"P. Karunakaran, Thomas Wagner, A. Scherb, W. Gerstacker","doi":"10.1109/CCS.2014.6933814","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933814","url":null,"abstract":"We consider the application of cognitive radio technology in future LTE-A systems. The carrier aggregation (CA) features of LTE-A can be exploited for enabling a cognitive operation in a subset of component carriers. Spectrum sharing between different network operators, device-to-device communications and the use of unlicensed bands for LTE-A are potential applications for such an operation. Sensing is expected to play an important role in such systems. To this end we explore the possibilities of spectrum sensing, especially the sensing while receiving a desired signal, in LTE-A systems. Specifically, an energy detector based on reference signal cancellation is introduced and compared to a beamforming based energy detector under practical channel conditions and realistic channel estimation assumptions. The results are expected to play an important role in the development of protocols for cognitive operation in LTE-A systems.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115276167","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}
Syed Ali Raza Zaidi, M. Ghogho, D. McLernon, A. Swami
{"title":"Energy harvesting empowered cognitive metro-cellular networks","authors":"Syed Ali Raza Zaidi, M. Ghogho, D. McLernon, A. Swami","doi":"10.1109/CCS.2014.6933812","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933812","url":null,"abstract":"Harvesting energy from natural (solar, wind, vibration etc.) and synthesized (microwave power transfer) sources is envisioned as a key enabler for realizing green wireless networks. Energy efficient scheduling is one of the prime objectives of cognitive radio platforms. To that end, in this article, we present a comprehensive analytical framework to characterize the performance of a cognitive metro-cellular network empowered by solar energy harvesting. The proposed model considers both spatial and temporal dynamics of the energy field and the mobile user traffic. Channel uncertainties are also captured in terms of large scale path-loss and small-scale Rayleigh fading. A new metric called `energy outage probability' which characterizes the self-sustainable operation of the base stations under energy harvesting is proposed and quantified. It is shown that the energy outage probability is strongly coupled with the path-loss exponent, required quality-of-service, base station and user density. Moreover, the energy outage probability varies both on daily and yearly basis depending on the solar geometry. It is shown that even in winter time BSs can run for 10-15 hours without any purchase of energy from the power grid.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125645032","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":"Cloud-based spectrum sensing system: First field results","authors":"S. Azarian, L. Godard, M. Debbah","doi":"10.1109/CCS.2014.6933809","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933809","url":null,"abstract":"To estimate available spectrum for dynamic access in the context of cognitive radio, many of the designed systems rely on dedicated complex software defined radio (SDR) receivers with onboard powerful signal processing capabilities, connected through dedicated high speed networks to complex processing backends, transmitting their measurements in real time to a central system. Even if promising results have been achieved with these systems, we believe this architecture does not scale if an area wider than the lab has to be covered. In real conditions, one would have to select good installation sites, engineer antenna location and setup, install a high speed dedicated network link, falling back to the usual issues mobile phone carriers are facing, raising again the problems that were at the birth of small cell cognitive networks. Our approach was to look for solutions to deployment from the beginning of the study and integrate scalable capabilities with limited costs in the rationale of the architecture design. Our `Cloud SDR' architecture aims at being a Self-organized, dynamic, self calibrated, cloud oriented spectrum sensing system to perform continuous spectrum occupation measurements at a country-wide scale. In this paper we describe the main features of the system and present preliminary results obtained with the sensing stations deployed in the suburbs of Paris, France, during the first semester of 2014.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128814736","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":"Traffic perception based topology management for 5G green ultra-small cell networks","authors":"Zhehan Li, D. Grace, P. Mitchell","doi":"10.1109/CCS.2014.6933803","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933803","url":null,"abstract":"This paper introduces a novel distributed topology management scheme for 5G ultra-small cell networks (SCNs). The scheme is designed to switch as many base stations as possible to sleep mode without significantly degrading the Quality of Service (QoS). This is fulfilled through traffic perception by each base station in its dynamically changing monitoring area. Simulation results show that the proposed adaptive scheme is able to enhance the network stability and significantly improve energy saving for various traffic density levels while maintaining a good QoS. It is evident that the scheme can sustain at least 1 Gbps/km2/MHz traffic, and consume 40% less power at low traffic loads than with no topology management and consume 16% less power compared to the best static scheme in which each base station adopts traffic perception in a fixed monitoring area. The reasons for these merits are explained and the impact of varying the critical scheme parameters is analyzed.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840351","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":"QoS of cognitive and primary networks and spectrum sensing tradeoff using always transmit strategy over Nakagami-m fading channels","authors":"Mohammed Ridouani, A. Hayar, A. Haqiq","doi":"10.1109/CCS.2014.6933810","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933810","url":null,"abstract":"Cognitive radio is widely expected to be one of the next generation in wireless communication which uses radio spectrum opportunistically and efficiently. In this paper, we present the performance of “Always transmit” strategy for the Quality of Service (QoS) management for cognitive and primary system. We study the tradeoff between spectrum sensing duration and the QoS at cognitive network and the QoS must be guaranteed at primary network. We derive the closed-form expressions of the outage probability over independent but not necessarily identically distributed Nakagami-m fading channels. Computer simulation results are presented to show that the spectrum sensing duration affect (resp. not very affect) the performance of cognitive system under strict (resp. relaxed) constraint limit at primary system, and that the strategy “Always transmit” outperforms others conventual cognitive radio strategies.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114787930","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}
J. Barowski, B. Meiners, A. Nalobin, S. Dortmund, S. Sczyslo, I. Rolfes
{"title":"A system simulator including channel and frontend models for cognitive professional wireless microphones","authors":"J. Barowski, B. Meiners, A. Nalobin, S. Dortmund, S. Sczyslo, I. Rolfes","doi":"10.1109/CCS.2014.6933786","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933786","url":null,"abstract":"In this paper a simulation environment for indoor transmissions in the ultra high frequency band is presented. The simulator comprises hardware as well as channel models that were derived from extensive measurement campaigns. In case of hardware modeling, nonlinear memory-polynomial models are used in order to accurately describe the intermodulation between multiple receive signals. The presented channel model is structured into three layers for indoor line of sight, non line of sight as well as outdoor to indoor transmissions. The indoor models utilize a Saleh-Valenzuela approach and a Clarke's model, while the outdoor model makes use of a Hata model.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"41 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127419380","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}
Virgilios Passas, N. Makris, Stratos Keranidis, T. Korakis, L. Tassiulas
{"title":"Towards the efficient performance of LTE-A systems: Implementing a cell planning framework based on cognitive sensing","authors":"Virgilios Passas, N. Makris, Stratos Keranidis, T. Korakis, L. Tassiulas","doi":"10.1109/CCS.2014.6933813","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933813","url":null,"abstract":"LTE and LTE-A have dominated as a 4G enabler protocol, adopted by the majority of the network providers worldwide. The efficient performance of an LTE network relies on the selected frequency within an operating band that the cell operates, by taking into account all the potential factors that can affect it. Since cognitive radio is targeting towards the maximization of spectrum utilization, it is crucial that it is adopted in the spectrum allocation process. In this work, we propose an efficient scheme for cell planning by employing spectrum sensing techniques. By exploiting spectral information collected by several sensing devices, we appropriately select the center frequency inside the operating band, towards maximizing the quality of the end user experience. Our algorithms are implemented for the downlink channel, considering a variety of configurations and topologies. Finally, our implemented mechanism is evaluated in the real world deployment of the NITOS Future Internet facility, using commercial LTE enabled femto cells and UEs, while USRP sensing devices are employed for high quality spectral information provisioning.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115279270","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":"Dynamic topology management in flexible aerial-terrestrial networks for public safety","authors":"Qiyang Zhao, D. Grace","doi":"10.1109/CCS.2014.6933798","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933798","url":null,"abstract":"This paper investigates dynamic topology management functionalities in the flexible deployment of a hybrid aerial-terrestrial cognitive cellular network for public safety in unexpected or temporary events. An evolutionary roll out and roll back of the network architecture in the disaster relief scenario is proposed under the assistant of topology management algorithm, in order to manage the number, location and time of aerial and terrestrial eNBs required by monitoring the user traffic at different phases of the disaster relief operation. Quality of Service (QoS) from user requirements or standards is used to intelligently manage the network topology, which effectively achieves a balance between the deployment cost/energy consumption and QoS/capacity. The results show that with topology management, the dynamic placement strategy based on traffic density significantly improves network QoS compared to fixed placement, and the dynamic deployment strategy based on QoS requirements substantially reduces the scale and power consumption of the network.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"7 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262702","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}
J. Brendel, S. Riess, S. Schroeter, R. Weigel, G. Fischer
{"title":"Signal detection and cooperative sensing with sensor nodes with limited dynamic","authors":"J. Brendel, S. Riess, S. Schroeter, R. Weigel, G. Fischer","doi":"10.1109/CCS.2014.6933788","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933788","url":null,"abstract":"The paper investigates the performance of the energy detector in fading environments under the constraint, that each sensor has only a limited dynamic range. First, the effects which limit the dynamic of a sensor node are discussed before the influence on the energy detector is analyzed. Simulations are presented how cooperative spectrum sensing affects the detection probability and it is shown that a sensing network with limited dynamic can gain much more from cooperation compared to a sensor network with ideal sensor nodes.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115519971","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":"Proactive channel access in cognitive radio networks based on users' statistics","authors":"Chamara Devanarayana, A. Alfa","doi":"10.1109/CCS.2014.6933794","DOIUrl":"https://doi.org/10.1109/CCS.2014.6933794","url":null,"abstract":"The issue of channel selection in a decentralized cognitive radio network having a spectrum broker is discussed in this paper. In the proposed method we take into account both the Primary user (PU) channel usage statistics and, Secondary user (SU) channel usage statistics as perceived by an SU of interest. In the marked Markov process based method proposed, each SU calculates the reward of using each channel and selects the channel set with the highest reward, which will in turn be used for proactive spectrum access and hand-off. We compare our scheme with two other schemes, where the channel set is randomly selected in one and selected based only on PU statistics in the other. By comparison of the simulation results, we show that our scheme causes less interference to the PUs and has comparable throughput performance which compensates for the increased computational complexity.","PeriodicalId":288065,"journal":{"name":"2014 1st International Workshop on Cognitive Cellular Systems (CCS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126391066","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}