Two Cross-Layer Optimization Methods for Transporting Multimedia Traffic Over Multicode CDMA Networks
Previous work on code division multiple access (CDMA) often considers the bit error ratio (BER) at the physical layer and the frame drop ratio (FDR) at the medium access control (MAC) layer separately. However, better system performance (e.g., lower overall packet loss ratio (PLR)) can be achieved i...
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| creator | Hui Chen Chan, H.C.B. Leung, V.C.M. |
| description | Previous work on code division multiple access (CDMA) often considers the bit error ratio (BER) at the physical layer and the frame drop ratio (FDR) at the medium access control (MAC) layer separately. However, better system performance (e.g., lower overall packet loss ratio (PLR)) can be achieved if BER and FDR are jointly optimized. This paper, the authors first set up a Markov chain model to evaluate the performance of transporting multimedia traffic over a multi-code CDMA network. Then, the authors propose two novel cross-layer optimization methods that dynamically adjust the maximum number of simultaneous transmissions according to the traffic arrival rate and the queue status, respectively. Simulation and analytical results show that these two methods can significantly reduce PLR and increase the system throughput. |
| doi_str_mv | 10.1109/WCNC.2007.59 |
| format | Conference Proceeding |
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However, better system performance (e.g., lower overall packet loss ratio (PLR)) can be achieved if BER and FDR are jointly optimized. This paper, the authors first set up a Markov chain model to evaluate the performance of transporting multimedia traffic over a multi-code CDMA network. Then, the authors propose two novel cross-layer optimization methods that dynamically adjust the maximum number of simultaneous transmissions according to the traffic arrival rate and the queue status, respectively. 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However, better system performance (e.g., lower overall packet loss ratio (PLR)) can be achieved if BER and FDR are jointly optimized. This paper, the authors first set up a Markov chain model to evaluate the performance of transporting multimedia traffic over a multi-code CDMA network. Then, the authors propose two novel cross-layer optimization methods that dynamically adjust the maximum number of simultaneous transmissions according to the traffic arrival rate and the queue status, respectively. Simulation and analytical results show that these two methods can significantly reduce PLR and increase the system throughput.</abstract><pub>IEEE</pub><doi>10.1109/WCNC.2007.59</doi><tpages>6</tpages></addata></record> |
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| ispartof | 2007 IEEE Wireless Communications and Networking Conference, 2007, p.288-293 |
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| language | eng |
| recordid | cdi_ieee_primary_4224304 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Bit error rate Communication system traffic control Error correction codes Media Access Protocol Multiaccess communication Optimization methods Physical layer System performance Telecommunication traffic Traffic control |
| title | Two Cross-Layer Optimization Methods for Transporting Multimedia Traffic Over Multicode CDMA Networks |
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