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SCIENCE CHINA Information Sciences, Volume 61, Issue 10: 102304(2018) https://doi.org/10.1007/s11432-017-9296-6

Enhanced frameless slotted ALOHA protocol with Markov chains analysis

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  • ReceivedJun 4, 2017
  • AcceptedNov 22, 2017
  • PublishedMay 30, 2018

Abstract

In this paper, we propose a novel approach to enhance the performance of frameless slotted ALOHA (SA) protocol. We employ signature codes to help the receiver identify the packets contained in collisions, and use successive interference cancellation (SIC) for packet recovery. We model the proposed scheme as a two-state Markov model represented by a uni-partite graph. We evaluate the throughput, expected delay and average memory size of the proposed scheme, and optimize the proposed scheme to maximize the throughput. We show that the theoretical analysis matches well with simulation results. The throughput and expected delay of the proposed protocol outperform the conventional slotted ALOHA protocol significantly.


Acknowledgment

This work was supported in part by Beijing Major Science and Technology Projects (Grant No. D171100006317001), Beijing Natural Science Foundation (Grant No. 4152047), and Programme of Introducing Talents of Discipline to Universities (111 Project) (Grant No. B14010).


References

[1] IEEE 802.16p-10/0005. Machine-to-Machine (M2M) Communication Study Report. 2010. Google Scholar

[2] Yan S, Peng M G, Abana M A. An evolutionary game for user access mode selection in fog radio access networks. IEEE Access, 2017, 5: 2200-2210 CrossRef Google Scholar

[3] Roberts L G. ALOHA packet system with and without slots and capture. SIGCOMM Comput Commun Rev, 1975, 5: 28-42 CrossRef Google Scholar

[4] Ghez S, Verdu S, Schwartz S C. Stability properties of slotted ALOHA with multipacket reception capability. IEEE Trans Autom Control, 1988, 33: 640-649 CrossRef Google Scholar

[5] Zheng J, Li J D, Liu Q. Performance analysis of three multi-radio access control policies in heterogeneous wireless networks. Sci China Inf Sci, 2013, 56: 122305 CrossRef Google Scholar

[6] Xu D, Li Q. Price-based time and energy allocation in cognitive radio multiple access networks with energy harvesting. Sci China Inf Sci, 2017, 60: 108302 CrossRef Google Scholar

[7] Wei N, Zhang Z P. Competitive access in multi-RAT systems with regulated interference constraints. Sci China Inf Sci, 2017, 60: 022306 CrossRef Google Scholar

[8] Namislo C. Analysis of mobile radio slotted ALOHA networks. IEEE J Sel Areas Commun, 1984, 2: 583-588 CrossRef Google Scholar

[9] Wu L T, Sun P, Xiao M. Sparse signal ALOHA: a compressive sensing-based method for uncoordinated multiple access. IEEE Commun Lett, 2017, 21: 1301-1304 CrossRef Google Scholar

[10] Herrero O R, Gaudenzi R D. Generalized analytical framework for the performance assessment of slotted random access protocols. IEEE Trans Wirel Commun, 2014, 13: 809-821 CrossRef Google Scholar

[11] Zhang Z H, Xu C B, Ping L. Coded random access with distributed power control and multiple-packet reception. IEEE Wirel Commun Lett, 2015, 4: 117-120 CrossRef Google Scholar

[12] Zhang Y, Wang H M, Zheng T X. Energy-efficient transmission design in non-orthogonal multiple access. IEEE Trans Veh Technol, 2017, 66: 2852-2857 CrossRef Google Scholar

[13] Han W J, Zhang Y, Wang X J. Orthogonal power division multiple access: a green communication perspective. IEEE J Sel Areas Commun, 2016, 34: 3828-3842 CrossRef Google Scholar

[14] Casini E, De Gaudenzi R, Herrero O R. Contention resolution diversity slotted ALOHA (CRDSA): an enhanced random access schemefor satellite access packet networks. IEEE Trans Wirel Commun, 2007, 6: 1408-1419 CrossRef Google Scholar

[15] Paolini E, Liva G, Chiani M. Graph-based random access for the collision channel without feedback: capacity bound. In: Proceedings of IEEE Global Telecommunications Conference (GLOBECOM), Houston, 2011. Google Scholar

[16] Sun Z, Xie Y X, Yuan J H, et al. Coded slotted ALOHA schemes for erasure channels. In: Proceedings of IEEE International Conference on Communications (ICC), Kuala Lumpur, 2016. Google Scholar

[17] Stefanovic C, Popovski P, Vukobratovic D. Frameless ALOHA protocol for wireless networks. IEEE Commun Lett, 2012, 16: 2087-2090 CrossRef Google Scholar

[18] Jia D, Fei Z S, Lin H. Distributed decoding for coded slotted ALOHA. IEEE Commun Lett, 2017, 21: 1715-1718 CrossRef Google Scholar

[19] Goseling J, Stefanovic C, Popovski P. Sign-compute-resolve for random access. In: Proceedings of the 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, 2014. 675--682. Google Scholar

[20] Nelson R. Probability, Stochastic Process, and Queueing Theory. Berlin: Springer, 2000. Google Scholar

[21] Vajargah B F, Gharehdaghi M. Ergodicity Of Fuzzy Markov Chains Based On Simulation Using Sequences. J Math Comput Sci, 2014, 11: 159-165 CrossRef Google Scholar

[22] Altman E, Azouzi R E, Jiménez T. Slotted ALOHA as a game with partial information. Comput Netw, 2004, 45: 701-713 CrossRef Google Scholar

[23] Gotsis A G, Lioumpas A S, Alexiou A. M2M scheduling over LTE: challenges and new perspectives. IEEE Veh Technol Mag, 2012, 7: 34-39 CrossRef Google Scholar

[24] Wang K, Du M, Sun Y F. Attack detection and distributed forensics in machine-to-machine networks. IEEE Netw, 2016, 30: 49-55 CrossRef Google Scholar

[25] Little J D C. A proof for the queuing formula: $L=~\lambda~W$. Oper Res, 1961, 9: 383-387 CrossRef Google Scholar

[26] ETSI GS LTN 001. Low Throughput Networks (LTN). Google Scholar

[27]

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