Delay Analysis of OFDMA-Aloha

OFDMA is the basis of future broadband access, due to its many inherent advantages such as scalability and fine granularity for multi-user access. OFDMA-Aloha combines the flexibility of OFDMA with basic Aloha's collision resolution mechanism over sub-carriers, in an attempt to reduce packet collisions and achieve faster retransmission. However, this comes at the expense of a larger slot size, due to lower channel rates per subcarrier. The above gives rise to a fundamental question: whether to use a single wide-band Aloha channel and retransmit via random back-off in next K time slots, or to retransmit immediately in one of K narrow-band sub-channels which are each 1/K slower (OFDMA-Aloha)? We answer this question, by analyzing the two protocols: Aloha and OFDMA-Aloha under the same total bandwidth and load conditions. We first derive the exact distribution of the packet access delay of OFDMA-Aloha in the saturated case. Then, we extend the analysis to the unsaturated case and derive the mean queue length and packet delay by decomposing the system of interfering queues into multiple independent queues utilizing the symmetry in our system. Our results show that if the network is already saturated, channelization does not bring substantial reduction in the collision rate to the point where it outweighs the effect of expanded slot size. In this case the single channel Aloha performs better than OFDMA-Aloha especially when the gap between the number of channels and the number users is large. On other hand, when the network is lightly loaded, OFDMA-Aloha enjoys smaller packet delays, but not for long as it saturates faster than the single channel Aloha.

[1]  M.-K. Lo,et al.  The tone sense multiaccess protocols with partial collision detections (TSMA/PCD) for packet satellite communications , 1993, IEEE Trans. Commun..

[2]  H. J. Zimmermann,et al.  Electronic circuits, signals, and systems , 1960 .

[3]  Byeong Gi Lee,et al.  Generalized CSMA/CA for OFDMA systems: protocol design, throughput analysis, and implementation issues , 2009, IEEE Transactions on Wireless Communications.

[4]  Wei Luo,et al.  Stability of N interacting queues in random-access systems , 1999, IEEE Trans. Inf. Theory.

[5]  Wuyi Yue Performance Analysis of Multi-Channel and Multi-Traffic on Wireless Communication Networks , 2010 .

[6]  Asrar U. H. Sheikh,et al.  A unified approach to analyze multiple access protocols for buffered finite users , 2004, J. Netw. Comput. Appl..

[7]  Junshan Zhang,et al.  Opportunistic multichannel Aloha: distributed multiaccess control scheme for OFDMA wireless networks , 2006, IEEE Transactions on Vehicular Technology.

[8]  Anthony Ephremides,et al.  On the stability of interacting queues in a multiple-access system , 1988, IEEE Trans. Inf. Theory.

[9]  Young-June Choi,et al.  Multichannel random access in OFDMA wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[10]  Asrar U. H. Sheikh,et al.  Performance and stability analysis of buffered slotted ALOHA protocols using tagged user approach , 2000, IEEE Trans. Veh. Technol..

[11]  Hideaki Takagi,et al.  Queueing analysis: a foundation of performance evaluation , 1993 .

[12]  Ronald A. Howard,et al.  Dynamic Probabilistic Systems , 1971 .

[13]  Asrar U. H. Sheikh,et al.  Performance Analysis of Buffered CSMA/CD Systems , 2001, Wirel. Pers. Commun..

[14]  F. Tobagi Analysis of a Two-Hop Centralized Packet Radio Network - Part I: Slotted ALOHA , 1980, IEEE Transactions on Communications.