IEEE/ACM Transactions on Networking (TON)
On variations of queue response for inputs with the same mean and autocorrelation function
IEEE/ACM Transactions on Networking (TON)
BMAP/SM/1 queue with Markovian input of disasters and non-instantaneous recovery
Performance Evaluation
A Markov-based channel model algorithm for wireless networks
Wireless Networks
An M/MMGI/1/K queuing model for IEEE 802.11 ad hoc networks
PE-WASUN '04 Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Queueing Analysis of IEEE 802.11 MAC Protocol in Wireless LAN
ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
Loss performance model for wireless channels with autocorrelated arrivals and losses
Computer Communications
Cross-layer modeling of wireless channels for data-link and IP layer performance evaluation
Computer Communications
Simple, accurate and computationally efficient wireless channel modeling algorithm
WWIC'05 Proceedings of the Third international conference on Wired/Wireless Internet Communications
IEEE Transactions on Wireless Communications
A binary channel characterization using partitioned Markov chains
IEEE Transactions on Information Theory
Rayleigh fading channels in mobile digital communication systems .I. Characterization
IEEE Communications Magazine
Capturing important statistics of a fading/shadowing channel for network performance analysis
IEEE Journal on Selected Areas in Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Survey: Performance models for wireless channels
Computer Science Review
| Hi-index | 0.00 |
In this paper we propose a cross-layer performance evaluation framework for wireless channels and subsequently explore the performance response at the FEC and ARQ enabled data-link layer in terms of frame losses and delays for different first- and second-order error and arrival statistics. For a wireless channel model to be appropriate for various FEC capabilities without the need for extensive measurements of the frame error process for each particular FEC code, the error process of the wireless channel is modeled at the physical layer. We assume weak stationary property for bit error observations and model them using a hidden Markov model. The associated parameters matching algorithm allows us to explicitly capture bit error rate and lag-1 autocorrelation of the bit error process. To explore the performance response of the wireless channel at the data-link layer, a cross-layer extension of the bit error model to the data-link layer is then developed. The performance of applications is evaluated using the queuing-theoretic approach that allows both arrival and error processes to be autocorrelated and still retains analytical tractability. The proposed methodology allows us to obtain estimators of frame loss and delay probabilities in the presence of FEC and ARQ procedures at the data-link layer eliminating the need for time-consuming simulations and extensive measurements of wireless channel characteristics for different error correction capabilities of the data-link layer. It is analytical in nature, efficient for small and moderate frame sizes and suitable for performance control purposes where fixed size frames are used at the data-link layer. Particularly, it provides a way to choose the required correction capability of the FEC code resulting in best possible performance at the data-link layer. Numerical results indicate that first- and second-order bit error and frame arrival statistics significantly affect performance parameters provided by a wireless channel and should be taken into account when choosing an appropriate correction capability of the FEC code for given wireless channel conditions.