State Estimation in Optical CDMA Networks

State estimation is a mechanism to estimate the state of an optical CDMA network. It can prevent degradation of throughput at high offered load when used as part of Interference Avoidance, a contention media access control protocol for optical CDMA Local Area Networks. Optical CDMA is a multiple access technique for broadcast optical LANs. The throughput of an optical CDMA LAN at high offered load is limited by multiuser interference. Interference Avoidance, prevents throughput degradation at high loads. It consists of state estimation and transmission scheduling. This work proposes algorithms for state estimation and studies the performance of Interference Avoidance under these algorithms. The analysis shows that the performance is sensitive to the state estimation algorithm and its parameters. When used with codesets of long lengths (> 100) and low weight (< 5), state estimation prevents throughput collapse and stabilize throughput at around 30% of the maximum. The throughput of Interference Avoidance with the state estimation algorithms is within 20% of throughput with optimal state estimation.

[1]  B. Mukherjee,et al.  WDM-based local lightwave networks. I. Single-hop systems , 1992, IEEE Network.

[2]  Fouad A. Tobagi,et al.  Performance Analysis of Carrier Sense Multiple Access with Collision Detection , 1980, Comput. Networks.

[3]  Ness B. Shroff,et al.  Bursty traffic over CDMA: predictive MAI temporal structure, rate control and admission control , 2003, Comput. Networks.

[4]  Fambirai Takawira,et al.  Spread‐spectrum CDMA packet radio MAC protocol using channel overload detection and blocking , 2000, Wirel. Networks.

[5]  Tarek N. Saadawi,et al.  Performance analysis of spread spectrum packet radio network with channel load sensing , 1989, IEEE J. Sel. Areas Commun..

[6]  Jawad A. Salehi,et al.  Code division multiple-access techniques in optical fiber networks. I. Fundamental principles , 1989, IEEE Trans. Commun..

[7]  Fan Chung Graham,et al.  Optical orthogonal codes: Design, analysis, and applications , 1989, IEEE Trans. Inf. Theory.

[8]  Lang Tong,et al.  Exploiting decentralized channel state information for random access , 2005, IEEE Transactions on Information Theory.

[9]  Abtin Keshavarzian,et al.  Optical orthogonal code acquisition in fiber-optic CDMA systems via the simple serial-search method , 2002, IEEE Trans. Commun..

[10]  Zhen Zhang,et al.  New constructions of optimal cyclically permutable constant weight codes , 1995, IEEE Trans. Inf. Theory.

[11]  Kyle Jamieson,et al.  Understanding the real-world performance of carrier sense , 2005, E-WIND '05.

[12]  Arnold O. Allen,et al.  Probability, statistics and queueing theory - with computer science applications (2. ed.) , 1981, Int. CMG Conference.

[13]  B. Mukherjee,et al.  WDM-based local lightwave networks. II. Multihop systems , 1992, IEEE Network.

[14]  Takaya Yamazato,et al.  A novel spread slotted Aloha system with channel load sensing protocol , 1994, IEEE J. Sel. Areas Commun..

[15]  Joseph D. Touch,et al.  Algorithms for Transmission Scheduling in Optical CDMA Networks , 2006 .