Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623407
S. Sarkar, M. Khouzani, K. Kar
We consider a multi-hop wireless ad-hoc network where nodes are powered by renewable energy and traditional battery. We obtain routing and scheduling policies that minimize the usage of non-renewable energy subject to data traffic stability in the network, while remaining oblivious to the statistics of the energy harvesting or the traffic generation processes.
{"title":"Optimal routing and scheduling in wireless networks with nodes powered by renewable and traditional energy sources","authors":"S. Sarkar, M. Khouzani, K. Kar","doi":"10.1109/BlackSeaCom.2013.6623407","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623407","url":null,"abstract":"We consider a multi-hop wireless ad-hoc network where nodes are powered by renewable energy and traditional battery. We obtain routing and scheduling policies that minimize the usage of non-renewable energy subject to data traffic stability in the network, while remaining oblivious to the statistics of the energy harvesting or the traffic generation processes.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132797156","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623385
B. Unluturk, Ecehan B. Pehlivanoglu, Ö. Akan
Molecular communication is a bio-inspired paradigm, proposed to communicate nanomachines via diffusion of molecules through an aqueous medium. The type and structure of the molecules to be propagated bear great importance since they directly affect the modulation structure of molecular communication. We propose a messenger-based molecular communication model where information is encoded on the atoms of polyethylene molecules in the form of CH3(CHX)nCH2F, where X is either an H or F atom, representing 0 and 1 bits, respectively. The encoded polyethylene molecules are released from the transmitter nanomachine, and their propagation towards the receiver is modelled as a Brownian Motion. Using an erasure channel model, our analysis focuses on calculating the capacity of this channel and revealing the parameters affecting it such as molecule size and number of redundant molecules for one transmission.
{"title":"Molecular channel model with multiple bit carrying molecules","authors":"B. Unluturk, Ecehan B. Pehlivanoglu, Ö. Akan","doi":"10.1109/BlackSeaCom.2013.6623385","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623385","url":null,"abstract":"Molecular communication is a bio-inspired paradigm, proposed to communicate nanomachines via diffusion of molecules through an aqueous medium. The type and structure of the molecules to be propagated bear great importance since they directly affect the modulation structure of molecular communication. We propose a messenger-based molecular communication model where information is encoded on the atoms of polyethylene molecules in the form of CH3(CHX)nCH2F, where X is either an H or F atom, representing 0 and 1 bits, respectively. The encoded polyethylene molecules are released from the transmitter nanomachine, and their propagation towards the receiver is modelled as a Brownian Motion. Using an erasure channel model, our analysis focuses on calculating the capacity of this channel and revealing the parameters affecting it such as molecule size and number of redundant molecules for one transmission.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130229949","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623374
Erwin Riegler, Günther Koliander, Wei Yang, G. Durisi
Recent results in communication theory suggest that substantial throughput gains in wireless fading networks can be achieved by exploiting network coordination (e.g., CoMP, network MIMO, interference alignment). However, these results are often based on the simplifying assumption that each node in the network has perfect channel knowledge and ignore the channel-estimation overhead. In this tutorial paper, we take a fresh look at the problem of learning fading channels. By focusing on simple channel models, we will illustrate how to quantify rigorously the throughput loss due to channel-estimation overhead. Specifically, by exploiting that in the absence of a priori channel knowledge at the receiver, the noiseless received signal is a nonlinear function of the transmitted signals and the propagation channel, we will show how to unveil the geometric structure underlying the channel input output relation, and how to use this geometry to characterize capacity at high SNR. We will also demonstrate that this approach is useful to determine the largest rate achievable at finite SNR and finite blocklength.
{"title":"How costly is it to learn fading channels?","authors":"Erwin Riegler, Günther Koliander, Wei Yang, G. Durisi","doi":"10.1109/BlackSeaCom.2013.6623374","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623374","url":null,"abstract":"Recent results in communication theory suggest that substantial throughput gains in wireless fading networks can be achieved by exploiting network coordination (e.g., CoMP, network MIMO, interference alignment). However, these results are often based on the simplifying assumption that each node in the network has perfect channel knowledge and ignore the channel-estimation overhead. In this tutorial paper, we take a fresh look at the problem of learning fading channels. By focusing on simple channel models, we will illustrate how to quantify rigorously the throughput loss due to channel-estimation overhead. Specifically, by exploiting that in the absence of a priori channel knowledge at the receiver, the noiseless received signal is a nonlinear function of the transmitted signals and the propagation channel, we will show how to unveil the geometric structure underlying the channel input output relation, and how to use this geometry to characterize capacity at high SNR. We will also demonstrate that this approach is useful to determine the largest rate achievable at finite SNR and finite blocklength.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116055300","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623416
I. Filippini, M. Cesana, Ilaria Malanchini
We consider cognitive radio networks where primary licensed users coexist with unlicensed users, which are allowed to opportunistically access licensed spectrum upon performing spectrum sensing functionality. An analytical framework based on queuing theory and game theory is introduced to assess the performance of the spectrum sharing process. Queuing theory is used to model the achievable throughput of secondary users, whereas game theoretic tools are introduced to capture the competitive dynamics of the spectrum sharing process among multiple secondary users. The proposed framework is used to derive performance measures of spectrum sharing when spectrum access is/is not regulated by a central spectrum management authority.
{"title":"Competitive spectrum sharing in cognitive radio networks: A queuing theory based analysis","authors":"I. Filippini, M. Cesana, Ilaria Malanchini","doi":"10.1109/BlackSeaCom.2013.6623416","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623416","url":null,"abstract":"We consider cognitive radio networks where primary licensed users coexist with unlicensed users, which are allowed to opportunistically access licensed spectrum upon performing spectrum sensing functionality. An analytical framework based on queuing theory and game theory is introduced to assess the performance of the spectrum sharing process. Queuing theory is used to model the achievable throughput of secondary users, whereas game theoretic tools are introduced to capture the competitive dynamics of the spectrum sharing process among multiple secondary users. The proposed framework is used to derive performance measures of spectrum sharing when spectrum access is/is not regulated by a central spectrum management authority.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122047965","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623380
Melike Yigit, Eyup Alper Yoney, V. C. Gungor
With the recent advances in embedded systems and wireless communication technologies, wireless sensor networks (WSNs) have gained great attention to realize efficient and low cost control systems for smart grid. The existing applications of WSNs on smart grid include advanced metering infrastructure (AMI), equipment fault diagnostics, outage detection, conductor temperature and dynamic thermal rating, power fraud detection, towers and poles monitoring. However, recent field tests show that low-power wireless links in smart grid environments have variable link qualities and high packet error rates because of RF interference, fading effects, equipment noise, and obstructions in smart grid environments. Hence, the realization of WSN-based smart grid applications is directly related to the performance of WSN communication protocols in harsh smart grid environments. In this paper, the performance of the state-of-the-art WSN medium access control (MAC) protocols, such as IEEE 802.15.4, IEEE 802.11, CSMA, TDMA, and Z-MAC, has been evaluated to better understand the advantages and disadvantages of evaluated MAC protocols in harsh smart grid spectrum environments. Overall, the main goal of this paper is to quantify the impact of the smart grid propagation environment characteristics on the performance of evaluated MAC protocols in terms of network throughput, packet reception rate, and energy consumption.
{"title":"Performance of MAC protocols for wireless sensor networks in harsh smart Grid environment","authors":"Melike Yigit, Eyup Alper Yoney, V. C. Gungor","doi":"10.1109/BlackSeaCom.2013.6623380","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623380","url":null,"abstract":"With the recent advances in embedded systems and wireless communication technologies, wireless sensor networks (WSNs) have gained great attention to realize efficient and low cost control systems for smart grid. The existing applications of WSNs on smart grid include advanced metering infrastructure (AMI), equipment fault diagnostics, outage detection, conductor temperature and dynamic thermal rating, power fraud detection, towers and poles monitoring. However, recent field tests show that low-power wireless links in smart grid environments have variable link qualities and high packet error rates because of RF interference, fading effects, equipment noise, and obstructions in smart grid environments. Hence, the realization of WSN-based smart grid applications is directly related to the performance of WSN communication protocols in harsh smart grid environments. In this paper, the performance of the state-of-the-art WSN medium access control (MAC) protocols, such as IEEE 802.15.4, IEEE 802.11, CSMA, TDMA, and Z-MAC, has been evaluated to better understand the advantages and disadvantages of evaluated MAC protocols in harsh smart grid spectrum environments. Overall, the main goal of this paper is to quantify the impact of the smart grid propagation environment characteristics on the performance of evaluated MAC protocols in terms of network throughput, packet reception rate, and energy consumption.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127773298","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623394
A. Dowhuszko, F. Ahmed, O. Tirkkonen
To cope with the growing demand of mobile data in hot spot areas of wireless networks, the use of massive small cell deployments with universal frequency reuse is essential. Such an aggressive reuse of spectral resources increases the level of co-channel interference, and calls for advanced multi-cell interference coordination techniques to capitalize cell densification gains. One option to address this problem is to use multiple antennas at the Base Stations (BSs), and implement Transmit Beamforming (TBF) to coordinate the interference generated to neighboring cells. A small cell BS should be low-cost by definition, and should be designed to serve typically a small number of Mobile Stations (MSs). Accordingly, we consider that each BS uses the same TBF vector to communicate with its associated MSs in the whole frequency band, and that the optimal TBF vector is determined utilizing a cooperative decentralized scheme. The proposed scheme seeks the maximization of a global utility function of the whole Small Cell Network (SCN), and relies solely on the exchange of low-rate signaling information among neighboring cells. As expected, the gain of the proposed cooperative TBF scheme increases as the number of MSs per cell decreases. A similar behavior is observed when the number of cooperative BSs per cell cluster grows. Thus, the proposed scheme seems to be applicable to SCNs with notable performance gains.
{"title":"Decentralized Transmit Beamforming scheme for interference coordination in small cell networks","authors":"A. Dowhuszko, F. Ahmed, O. Tirkkonen","doi":"10.1109/BlackSeaCom.2013.6623394","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623394","url":null,"abstract":"To cope with the growing demand of mobile data in hot spot areas of wireless networks, the use of massive small cell deployments with universal frequency reuse is essential. Such an aggressive reuse of spectral resources increases the level of co-channel interference, and calls for advanced multi-cell interference coordination techniques to capitalize cell densification gains. One option to address this problem is to use multiple antennas at the Base Stations (BSs), and implement Transmit Beamforming (TBF) to coordinate the interference generated to neighboring cells. A small cell BS should be low-cost by definition, and should be designed to serve typically a small number of Mobile Stations (MSs). Accordingly, we consider that each BS uses the same TBF vector to communicate with its associated MSs in the whole frequency band, and that the optimal TBF vector is determined utilizing a cooperative decentralized scheme. The proposed scheme seeks the maximization of a global utility function of the whole Small Cell Network (SCN), and relies solely on the exchange of low-rate signaling information among neighboring cells. As expected, the gain of the proposed cooperative TBF scheme increases as the number of MSs per cell decreases. A similar behavior is observed when the number of cooperative BSs per cell cluster grows. Thus, the proposed scheme seems to be applicable to SCNs with notable performance gains.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117350744","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623408
Baran Tan Bacinoglu, E. Uysal-Biyikoglu
A finite horizon optimal packet scheduling problem with data and energy causality constraints is posed. The slotted structure of the problem makes discrete time stochastic dynamic programming suitable for obtaining its optimal solution. This structure also enables an offline optimal solution that facilitates an online scheduling heuristic. The online heuristic, which does not require prior knowledge of data and energy arrival statistics, is observed (via simulations) to perform closely to the online optimal. The simulations also exhibit that policies designed for longer-term optimal performance can fail in the short term and perform much poorly with respect to the online scheduling heuristic.
{"title":"Finite horizon online packet scheduling with energy and delay constraints","authors":"Baran Tan Bacinoglu, E. Uysal-Biyikoglu","doi":"10.1109/BlackSeaCom.2013.6623408","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623408","url":null,"abstract":"A finite horizon optimal packet scheduling problem with data and energy causality constraints is posed. The slotted structure of the problem makes discrete time stochastic dynamic programming suitable for obtaining its optimal solution. This structure also enables an offline optimal solution that facilitates an online scheduling heuristic. The online heuristic, which does not require prior knowledge of data and energy arrival statistics, is observed (via simulations) to perform closely to the online optimal. The simulations also exhibit that policies designed for longer-term optimal performance can fail in the short term and perform much poorly with respect to the online scheduling heuristic.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"1 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114039184","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623401
Gulnur Selda Uyanik, Özge Cepheli, Günes Karabulut-Kurt, S. Oktug
Along with the proliferation of wireless communication with diverse services and applications, effective spectrum usage remains a challenge. Cognitive radio networks (CRNs) stand as a solution for the increasing demand on naturally limited frequency spectrum. As opposed to broad research work on modeling and simulation of these networks, implementation studies are more confined due to the practical limitations of traditional radio devices. In this paper, the CRN test bed we implemented using software defined radio peripherals is introduced, and the performance of this testbed is evaluated with varying network parameters like primary user (PU) traffic intensity and the noise level in the environment. The real time spectrum sensing performance are given by means of miss detection, false alarm and detection rates along with system utilization. Testbed implemented provides promising results as well as being basis for our future work covering multi-hop, multi-channel CRNs.
{"title":"Implementation and performance evaluation of dynamic spectrum access using software defined radios","authors":"Gulnur Selda Uyanik, Özge Cepheli, Günes Karabulut-Kurt, S. Oktug","doi":"10.1109/BlackSeaCom.2013.6623401","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623401","url":null,"abstract":"Along with the proliferation of wireless communication with diverse services and applications, effective spectrum usage remains a challenge. Cognitive radio networks (CRNs) stand as a solution for the increasing demand on naturally limited frequency spectrum. As opposed to broad research work on modeling and simulation of these networks, implementation studies are more confined due to the practical limitations of traditional radio devices. In this paper, the CRN test bed we implemented using software defined radio peripherals is introduced, and the performance of this testbed is evaluated with varying network parameters like primary user (PU) traffic intensity and the noise level in the environment. The real time spectrum sensing performance are given by means of miss detection, false alarm and detection rates along with system utilization. Testbed implemented provides promising results as well as being basis for our future work covering multi-hop, multi-channel CRNs.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124539782","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623397
V. Varma, Mariem Mhiri, M. L. Treust, S. Lasaulce, A. Samet
In this paper, we consider the problem of distributed power control for multiple access channels when energy-efficiency has to be optimized. In contrast with related works, the presence of a queue at each transmitter is accounted for and globally efficient solutions are sought. To this end, a repeated game model is exploited and shown to lead to solutions which are distributed in the sense of the decision, perform well globally, and may rely on limited channel state information at the transmitter.
{"title":"On the benefits of repeated game models for green cross-layer power control in small cells","authors":"V. Varma, Mariem Mhiri, M. L. Treust, S. Lasaulce, A. Samet","doi":"10.1109/BlackSeaCom.2013.6623397","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623397","url":null,"abstract":"In this paper, we consider the problem of distributed power control for multiple access channels when energy-efficiency has to be optimized. In contrast with related works, the presence of a queue at each transmitter is accounted for and globally efficient solutions are sought. To this end, a repeated game model is exploited and shown to lead to solutions which are distributed in the sense of the decision, perform well globally, and may rely on limited channel state information at the transmitter.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128089365","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}
Pub Date : 2013-07-03DOI: 10.1109/BlackSeaCom.2013.6623406
Mustafa Ozmen, Gozde Ozcan, M. C. Gursoy
In this paper, fundamental limits on the energy efficiency of cognitive radio transmissions are studied in the presence of statistical quality of service (QoS) constraints when the data arrival process at the cognitive transmitter is modeled as a two-state Markov chain. It is assumed that cognitive secondary users initially sense the channel via energy detection and adjust their transmission power levels according to the sensing decisions. Considering the true states of the primary user activity, imperfect sensing decisions, and the reliability of the transmissions, a state-transition model with four states is constructed for the cognitive radio channel. A framework for determining the maximum average arrival rates that can be supported in the cognitive radio channel under QoS constraints is provided by employing the notions of effective bandwidth of Markov arrivals and effective capacity of cognitive radio transmissions. After formulating the maximum average arrival rates, minimum energy per bit and wideband slope expressions are obtained in order to identify the energy efficiency of cognitive radio systems.
{"title":"Energy efficiency in cognitive radio channels with Markov arrivals","authors":"Mustafa Ozmen, Gozde Ozcan, M. C. Gursoy","doi":"10.1109/BlackSeaCom.2013.6623406","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2013.6623406","url":null,"abstract":"In this paper, fundamental limits on the energy efficiency of cognitive radio transmissions are studied in the presence of statistical quality of service (QoS) constraints when the data arrival process at the cognitive transmitter is modeled as a two-state Markov chain. It is assumed that cognitive secondary users initially sense the channel via energy detection and adjust their transmission power levels according to the sensing decisions. Considering the true states of the primary user activity, imperfect sensing decisions, and the reliability of the transmissions, a state-transition model with four states is constructed for the cognitive radio channel. A framework for determining the maximum average arrival rates that can be supported in the cognitive radio channel under QoS constraints is provided by employing the notions of effective bandwidth of Markov arrivals and effective capacity of cognitive radio transmissions. After formulating the maximum average arrival rates, minimum energy per bit and wideband slope expressions are obtained in order to identify the energy efficiency of cognitive radio systems.","PeriodicalId":170309,"journal":{"name":"2013 First International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132247134","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}
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