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Dynamic Spectrum Access (DSA) is a successful solution for the spectrum scarcity problem. In DSA, unlicensed users can gain access to licensed spectrum in a way that does not harm the licensed transmission. Many technical solutions are proposed to efficiently facilitate DSA. This paper analyzes the benefits of using cooperative relaying technique on the spectrum occupancy for the unlicensed transmissions...
Dynamic spectrum access is an effective approach to improve the spectrum utilization. When primary user (PU) leases its spectrum to secondary users (SU), the spectrum efficiency can be enhanced, however, PU might be interfered by the co-existence of SU. This paper considers the situation that PU is willing to coexist with SU once it is paid and its Signal to Interference-plus-Noise Ratio (SINR) is...
The need to monitor and analyse network traffic grows with the deployment of new multimedia services over high speed networks. Predicting the overall capturing performance is crucial to know if the traffic monitoring system will be able to cope with all the traffic packets, or if it needs more processing power. In this paper, we present an analytical model based on a Markov chain to study the efficiency...
In this paper, we investigate various greedy behavior scenarios that may appear in IEEE 802.11 wireless networks, and provide performances of the MAC layer using a two-dimensional Markov chain analytical model. We obtain the performance of greedy behaving nodes having different Poisson packet arriving rates for different wireless network topology structures and multiple greedy strategies. Besides...
Channel reservation is used to decrease the drop ratio of secondary users caused by spectrum handover. This paper considers the maintainer of the reserved channels in one secondary system coexisting with multiple primary systems. The global channel reservation scheme, the user channel reservation scheme, and the user-updated channel reservation scheme are proposed, derived by different Markov models...
This paper studies the performance of Non-persistent CSMA protocols using K-Exponential Backoff collision resolution algorithms. We model it as a multi-queue single-server system with infinite buffer size and consider the service time distribution of Head-of-line packets as a Markov Chain to get the network throughput as well as the stability. The stable region of retransmission factor q is illustrated...
This paper provides a simple and accurate analysis using Markov chain modeling to compute IEEE 802.11 DCF performance, in the presence of channel errors. We extend the analytical model of IEEE 802.11 DCF from Bianchi model to study throughput performance under noisy situation, where the node's transmit queue may be at times empty and then extension of his model to a nonsaturated environment and also...
The anti-collision mechanism is an important part in Radio-frequency Identification (RFID) technology. Recently, many anti-collision algorithms were designed based on the EPCglobal standards. These works mainly focused on the tag population estimation. But they chose frame size based on the classical results of Random Access (RA) systems. We show that a new theory is needed for the optimization of...
The anti-collision mechanism is a very important part in RFID systems. Among all the algorithms, the Framed Aloha based (FA) ones are most widely used due to its simplicity and robustness. Previous works mainly focused on the tag population estimation, but determined the reading strategy based on the classical results of Random Access (RA) systems. We show that a new theory is needed for the optimization...
This paper analyses a multiple class single server M/M/1/K queue with finite capacity under weighted fair queuing (WFQ) discipline. The Poisson process has been used to model the multiple classes of arrival streams. The service times have exponential distribution. Analytical expressions for the flow balanced equations have been derived using Markov chain. This paper presents an analytical and numerical...
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