FEATURES OF 5G TERMINALS WITH QoS PROVISIONING AND VERTICAL MULTI-HOMING AND MULTI-STREAMING
A b s t r a c t: The major issue presented in this paper is a novel QoS and vertical multi-homing and multi-
streaming framework for the fifth generation (5G) of mobile terminals with radio network aggregation capability;
using Lyapunov optimization in 5G mobile and wireless networks. The proposed 5G (mobile and fixed) terminal is
leading to high performance utility networks with high QoS provisioning for any given multimedia service, higher
bandwidth utilization, traffic load sharing, lower consumption of power and multi-radio interface capabilities. Our
framework is user-centric, targeted to always-on connectivity with using radio network aggregation for achieving
broadband connections, maximal network utilization, minimal battery life time, maximal throughput and perform-
ances improvement. Moreover, our proposed framework is using Lyapunov drift-plus-penalty theorem that provides a
methodology for designing algorithm to maximize the average throughput and stabilize the queuing, leading to mini-
mal queue delays. Also, we are showing the upper bound of the consumed power and the lower bound of the battery
life time for the proposed 5G terminal. The performance of our 5G terminal framework is evaluated using simulations
and analysis with multimedia traffic in heterogeneous mobile and wireless environment.
Key words: 5G terminal; aggregation; Lyapunov optimization; quality of service; vertical multi-homing
 Boccardi, F. et al.: Five Disruptive Technology Directions for 5G, IEEE Communications Magazine, Vol. 52, No. 2, pp. 74–80 (Nov. 2014).
 Bhushan, Naga et al.: Network Densification: The Dominant Theme for Wireless Evolution into 5G, IEEE Communications Magazine, Vol. 52, No. 2, pp. 82–89 (Nov. 2014).
 Bangerter, Boyd et al.: Networks and Devices for the 5G Era, IEEE Communications Magazine, Vol. 52, No. 2, pp. 90–96 (Nov. 2014).
 Cheng-Xiang Wang et al.: Cellular Architecture and Key Technologies for 5G Wireless Communication Networks, IEEE Communications Magazine, Vol. 52, No. 2, pp. 122–130 (Nov. 2014).
 Janevski, Toni: 5G Mobile Phone Concept, IEEE Consumer Communications and Networking Conference (CCNC) 2009, USA.
 Willie W. Lu: An Open Baseband Processing Architecture for Future Mobile Terminals Design, IEEE Wireless Communications, Vol. 15, Issue 2, pp. 110–119 (2008).
 Tudžarov, Aleksandar, Janevski, Toni: Design for 5G Mobile Network Architecture, International Journal of Communication Networks and Information Security, Vol. 3, No. 2, pp. 112–123 (2011).
 Soldani, D. et al. 5G Networks: End-To-End Architecture and Infrastructure, IEEE Communications Magazine, Vol. 52, No. 11, pp. 65–100 (Nov. 2014).
 Neely, M. J.: Stochastic Network Optimization with Application to Communication and Queueing Systems, Morgan & Claypool, USA, 2010.
 Tassiulas, L., Ephremides, A.: Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks, IEEE Transacations on Automatic Control, vol. 37, no. 12, (Dec. 1992).
 Tassiulas, L., Ephremides, A.: Dynamic server allocation to parallel queues with randomly varying connectivity, IEEE Trans. on Inform. Theory, vol. 39, pp. 466–478 (March 1993).
 Kahale, N., Wright, P. E.: Dynamic global packet routing in wireless networks. Proc. IEEE INFOCOM, 1997.
 Andrews, M., et al.: Providing quality of service over a shared wireless link, IEEE Communications Magazine, vol. 39, no. 2, pp. 150–154 (2001).
 Neely, M. J., Modiano, E., Rohrs, C. E.: Power allocation and routing in multi-beam satellites with time varying channels, IEEE Transactions on Networking, vol. 11, no. 1, pp. 138–152 (Feb. 2003).
 Kumar, P. R., Meyn, S. P.: Stability of queueing networks and scheduling policies, IEEE Trans. on Automatic Control, vol. 40,.no. 2, pp. 251–260 (Feb. 1995).
 Neely, M. J., Modiano, , E., Rohrs, C. E.: Dynamic power allocation and routing for time varying wireless networks. IEEE Journal on Selected Areas in Communications, vol. 23, no. 1, pp. 89–103 (Jan. 2005).
 Sridharan, A., Moeller, S., Krishnamachari, B.: Making distributed rate control using Lyapunov drifts a reality in wireless sensor networks, In: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 2008. WiOPT 2008. 6th International Symposium on, 1–3 April 2008, pp.452–461,
 Neely, Michael J., Urgaonkar, Rahul: Cross-layer adaptive control for wireless mesh networks. Ad Hoc Networks (Elsevier Journal), Vol. 5, No. 6, pp. 719–743 (August 2007).
 Georgiadis, L., Neely, M. J., Tassiulas, L.: Resource allocation and cross-layer control in wireless networks, Foundations and Trends in Networking, vol. 1, no. 1, pp. 1–149 (2006).
 Neely, M. J.: Energy optimal control for time varying wireless networks, IEEE Transactions on Information Theory, vol. 52, no. 7, pp. 2915–2934 (July 2006).
 Lee, J. W., Mazumdar, R. R., Shroff, N. B.: Opportunistic power scheduling for dynamic multiserver wireless systems, IEEE Transactions on Wireless Communications, vol. 5, no. 6, pp. 1506–1515 (June 2006).
 Neely, M. J.: Optimal backpressure routing for wireless networks with multi-receiver diversity, Proc. of Conf. on Information Sciences and Systems (CISS), March 2006.
 Mahmoodi, S. E., Subbalakshmi, K. P., Sagar, V.: Cloud offloading for multi-radio enabled mobile devices, 2015 IEEE International Conference on Communications (ICC), London, 2015, pp. 5473–5478.
 Shuminoski, T., Janevski, T.: Lyapunov Optimization Framework for 5G Mobile Nodes with Multi-Homing, In: IEEE Communications Letters, Vol. 20, No. 5, pp. 1026–1029 (May 2016).
 Shuminoski, Tomislav, Janevski, Toni: 5G mobile terminals with advanced QoS-based user-centric aggregation (AQUA) for heterogeneous wireless and mobile networks. Wireless Networks (Springer journal). [Online]. 21 (6), pp. 1–18 (2015, Aug.).
 Shuminoski, Tomislav, Janevski, Toni.:. Radio Network Aggregation for 5G Mobile Terminals in Heterogeneous Wireless and Mobile Networks. Wireless Personal Communication, Springer journal. [Online]. 78 (2), pp. 1211–1229 (May, 2014).
 Rec. ITU-T Y.2052: Framework of multi-homing in IPv6-based NGN (02/2008).
 Rec. ITU-T Y.2056: Framework of vertical multihoming in IPv6-based Next Generation Networks, (08/2011).
 Bertsekas, D. P., Gallager, R.: Data Networks, New Jersey: Prentice-Hall, Inc., 1992.
 ITU-T Study Group 2 (Working Party 3/2) and ITU-D SG 2/16 & ITC (Draft 2001-06-20), Teletraffic Engineering, Handbook, editor: Villy B. Iversen., Geneva, December 2003. Link:<https://www.itu.int/dms_pub/itu-d/ opb/stg/D-STG-SG02.16.1-2001-PDF-E.pdf