Name
Title | ||
|---|---|---|
Performance response of wireless channels for quantitatively different loss and arrival statistics |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.peva.2009.08.012 | Perform. Eval. |
Keywords | Field | DocType |
bit error process,wireless channel,bit error rate,different error correction capability,arrival statistic,performance response,frame loss,bit error model,queuing analysis,fec code,fec optimization,bit error observation,quantitatively different loss,data-link layer,cross-layer modeling,second order,physical layer,hidden markov model,error correction,link layer | Wireless,Computer science,Communication channel,Error detection and correction,Real-time computing,Physical layer,Hidden Markov model,Statistics,Estimator,Autocorrelation,Bit error rate | Journal |
Volume | Issue | ISSN |
67 | 1 | Performance Evaluation |
Citations | PageRank | References |
15 | 0.79 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Moltchanov | 1 | 125 | 17.60 |
| Y. Koucheryavy | 2 | 44 | 4.08 |
| J. Harju | 3 | 33 | 1.69 |