Cross-Layer optimization of fast video delivery in cache- and buffer-Enabled relaying networks

IEEE Transactions on Vehicular Technology

Volumn 66, Issue 12, 2017, Pages 11366-11382

  Xiang, Lin ^a   Kwan Ng, Derrick Wing ^b   Islam, Toufiqul ^c   Schober, Robert ^a   Vincent, W S ^d   Wang, Jiaheng ^e  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c Huawei Ottawa R and D Center   (Canada)

^d UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^e SOUTHEAST UNIVERSITY   (China)

Author keywords

5G mobile communication; Buffer storage; Cache storage; Cooperative caching; Cooperative communication; Cross layer design; Dynamic programming; Frequency division mul tiaccess; Optimization method; Resource management; Wireless communication; Wireless networks

Indexed keywords

CHANNEL STATE INFORMATION; COMPLEX NETWORKS; ELECTRONIC MAIL; MEDIA STREAMING; NETWORK LAYERS; OPTIMIZATION; PROBLEM SOLVING; QUALITY OF SERVICE; STOCHASTIC SYSTEMS; VIDEO STREAMING; WIRELESS TELECOMMUNICATION SYSTEMS;

CROSS LAYER OPTIMIZATION; OPTIMIZATION PROBLEMS; PHYSICAL LAYERS; QUALITY OF EXPERIENCE (QOE); RELAYS; STOCHASTIC DYNAMIC PROGRAMMING; STREAMING MEDIA; WIRELESS COMMUNICATIONS;

DYNAMIC PROGRAMMING;

EID: 85023741226     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2017.2720481     Document Type: Conference Paper

References (46)

1. L. Xiang, D. W. K. Ng, T. Islam, R. Schober, and V. W. S. Wong, “Cross-layer optimization of fast video delivery in cache-enabled relaying networks,” in Proc. IEEE Global Commun. Conf., San Diego, CA, Dec 2015 1–7
2. Cisco, “Cisco visual networking index: Global mobile data traffic forecast update 2015–2020,” Feb. 2016.
3. R. Knutson, “Video boom forces Verizon to upgrade network,” Wall Street J., Dec. 2013.
4. X. Wang, M. Chen, T. Taleb, A. Ksentini, and V. Leung, “Cache in the air: Exploiting content caching and delivery techniques for 5G systems,” IEEE Commun. Mag., vol. 52, no. 2, pp. 131–139, Feb. 2014.
5. G. Paschos, E. Baştug, I. Land, G. Caire, and M. Debbah, “Wireless caching:Technicalmisconceptionsandbusinessbarriers,”IEEECommun. Mag., vol. 54, no. 8, pp. 16–22, Aug. 2016.
6. F. Pantisano, M. Bennis, W. Saad, and M. Debbah, “Match to cache: Joint user association and backhaul allocation in cache-aware small cell networks,” in Proc. IEEE Int. Conf. Commun., London, U.K., Jun. 2015, pp. 3082–3087.
7. H. AhleHagh and S. Dey, “Video caching in radio access network: Impact on delay and capacity,” in Proc. IEEE Wireless Commun. Netw. Conf., Paris, France, Apr. 2012, pp. 2276–2281.
8. K. Shanmugam, N. Golrezaei, A. Dimakis, A. Molisch, and G. Caire, “FemtoCaching: Wireless content delivery through distributed caching helpers,” IEEE Trans. Inf. Theory, vol. 59, no. 12, pp. 8402–8413, Dec. 2013.
9. C. Yang, Y. Yao, Z. Chen, and B. Xia, “Analysis on cache-enabled wireless heterogeneous networks,” IEEE Trans. Wireless Commun., vol. 15, no. 1, pp. 131–145, Jan. 2016.
10. A. Liu and V. Lau, “Mixed-timescale precoding and cache control in cached MIMO interference network,” IEEE Trans. Signal Process., vol. 61, no. 24, pp. 6320–6332, Dec. 2013.
11. A. Liu and V. Lau, “Cache-enabled opportunistic cooperative MIMO for videostreaminginwirelesssystems,”IEEETrans.SignalProcess.,vol.62, no. 2, pp. 390–402, Jan. 2014.
12. Z. Chen, J. Lee, T. Q. Quek, and M. Kountouris, “Cooperative caching and transmission design in cluster-centric small cell networks,” IEEE Trans. Wireless Commun., vol. 16, no. 5, pp. 3401–3415, May 2017.
13. M. Tao, E. Chen, H. Zhou, and W. Yu, “Content-centric sparse multicast beamforming for cache-enabled cloud RAN,” IEEE Trans. Wireless Commun., vol. 62, no. 24, pp. 6320–6332, Sep. 2016.
14. D. Liu and C. Yang, “Energy efficiency of downlink networks with caching at base stations,” IEEE J. Sel. Areas Commun., vol. 34, no. 4, pp. 907–922, Apr. 2016.
15. L. Breslau, P. Cao, L. Fan, G. Phillips, and S. Shenker, “Web caching and Zipf-like distributions: Evidence and implications,” in Proc. IEEE INFOCOM, New York, NY, USA, Mar. 1999, pp. 126–134.
16. S. Shariatpanahi, H. Shah-Mansouri, and B. Khalaj, “Caching gain in wireless networks with fading: A multi-user diversity perspective,” in Proc. IEEE Wireless Commun. Netw. Conf., Istanbul, Turkey, Apr. 2014, pp. 930–935.
17. M. Chiang and T. Zhang, “Fog networking and IoT: An overview on research opportunities,” IEEE Internet Things J., vol. 3, no. 6, pp. 854–864, Dec. 2016.
18. I. Elsen, F. Hartung, U. Horn, M. Kampmann, and L. Peters, “Streaming technology in 3G mobile communication systems,” IEEE Comput., no. 9, pp. 46–52, Sep. 2001.
19. K. J. Ma, R. Bartos, S. Bhatia, and R. Nair, “Mobile video delivery with HTTP,” IEEE Commun. Mag., vol. 49, no. 4, pp. 166–175, Apr. 2011.
20. A. Begen, T. Akgul, and M. Baugher, “Watching video over the web: Part1:Streamingprotocols,”IEEEInternetComput.,vol.15,no.2,pp.54–63, Mar. 2011.
21. B. Liu, W. Zhou, T. Zhu, L. Gao, T. Luan, and H. Zhou, “Silence is golden: Enhancing privacy of location-based services by content broadcasting and active caching in wireless vehicular networks,” IEEE Trans. Veh. Technol., vol. 65, no. 12, pp. 9942–9953, Dec. 2016.
22. L. Idir, S. Paris, and F. Naït-Abdesselam, “Optimal caching of encoded data for content distribution in vehicular networks,” in Proc. IEEE Int. Conf. Commun. Workshop, London, U.K., Jun. 2015, pp. 2483–2488.
23. N. Zlatanov, R. Schober, and P. Popovski, “Buffer-aided relaying with adaptive link selection,” IEEE J. Sel. Areas Commun., vol. 31, no. 8, pp. 1530–1542, Aug. 2013.
24. N. Zlatanov, A. Ikhlef, T. Islam, and R. Schober, “Buffer-aided cooperative communications: Opportunities and challenges,” IEEE Commun. Mag., vol. 52, no. 4, pp. 146–153, Apr. 2014.
25. D. P. Bertsekas, Dynamic Programming and Optimal Control, vol. 1, 3rd ed. Belmont, MA, USA: Athena Scientific, 2005.
26. E. Dahlman, S. Parkvall, and J. Sköld, 4G: LTE/LTE-Advanced for Mobile Broadband. New York, NY, USA: Academic, 2013.
27. R. A. Berry and E. M. Yeh, “Cross-layer wireless resource allocation,” IEEE Signal Process. Mag., vol. 21, no. 5, pp. 59–68, Sep. 2004.
28. G. Song and Y. Li, “Cross-layer optimization for OFDM wireless networks—Part I: Theoretical framework,” IEEE Trans. Wireless Commun., vol. 4, no. 2, pp. 614–624, Mar. 2005.
29. J. Tang and X. Zhang, “Cross-layer resource allocation over wireless relay networks for quality of service provisioning,” IEEE J. Sel. Areas Commun., vol. 25, no. 4, pp. 645–656, May 2007.
30. M. van Der Schaar and S. S. N, “Cross-layer wireless multimedia transmission: Challenges, principles, and new paradigms,” IEEE Wireless Commun. Mag., vol. 12, no. 4, pp. 50–58, Aug. 2005.
31. D. Wu and R. Negi, “Effective capacity: A wireless link model for support of quality of service,” IEEE Trans. Wireless Commun., vol. 2, no. 4, pp. 630–643, Jul. 2003.
32. A. Checko et al., “Cloud RAN for mobile networks: A technology overview,” IEEE Commun. Surveys Tuts., vol. 17, no. 1, pp. 405–426, Jan.–Mar. 2015.
33. G. B. Folland, Real Analysis: Modern Techniques and Their Applications. Hoboken, NJ, USA: Wiley, 2013.
34. J. R. Birge and F. Louveaux, Introduction to Stochastic Programming. New York, NY, USA: Springer, 2011.
35. R. Horst, Introduction to Global Optimization. New York, NY, USA: Springer, 2000.
36. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
37. O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus, and A. Yener, “Transmission with energy harvesting nodes in fading wireless channels: Optimal policies,” IEEE J. Sel. Areas Commun., vol. 29, no. 8, pp. 1732–1743, Aug. 2011.
38. W. Yu and R. Lui, “Dual methods for nonconvex spectrum optimization of multicarrier systems,” IEEE Trans. Commun., vol. 54, no. 7, pp. 1310–1322, Jul. 2006.
39. K. Seong, M. Mohseni, and J. Cioffi, “Optimal resource allocation for OFDMA downlink systems,” in Proc. Int. Symp. Inf. Theory, Seattle, WA, USA, Jul. 2006, pp. 1394–1398.
40. D. W. K. Ng, E. S. Lo, and R. Schober, “Energy-efficient resource allocation in multi-cell OFDMA systems with limited backhaul capacity,” IEEE Trans. Wireless Commun., vol. 11, no. 10, pp. 3618–3631, Oct. 2012.
41. Y. Ye, Interior Point Algorithms: Theory and Analysis. Hoboken, NJ, USA: Wiley, 1997.
42. M. Grant and S. Boyd, “CVX: Matlab software for disciplined convex programming, version 2.1,” Mar. 2014. [Online]. Available: http://cvxr.com/cvx
43. D. P. Bertsekas, Dynamic Programming and Optimal Control, vol. 2, 4th ed. Belmont, MA, USA: Athena Scientific, 2012.
44. A. Kolobov, “Planning with Markov decision processes: An AI perspective,” in Synthesis Lectures on Artificial Intelligence and Machine Learning, vol. 6. San Rafae, CA, USA: Morgan & Claypool Publishers, Jun. 2012, no. 1, pp. 1–210.
45. “Further advancements for E- UTRA physical layer aspects (Release 9),” 3GPP TR 36.814, Mar. 2010.
46. M. S. Bazaraa, H. D. Sherali, and C. M. Shetty, Nonlinear Programming: Theory and Algorithms, 3rd ed. Hoboken, NJ, USA: Wiley, 2013.