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ThinkMind // International Journal On Advances in Telecommunications, volume 6, numbers 1 and 2, 2013 // View article tele_v6_n12_2013_3


Low Complexity Cross-Layer Scheduling and Resource Allocation for VoIP in 3G LTE

Authors:
Richard Musabe
Hadi Larijani

Keywords: LTE, Scheduling Schemes, VoIP, Complexity, Utility Function

Abstract:
3G Long Term Evolution (LTE) is an emerging and promising technology that aims at providing broadband ubiquitous Internet access and improving multimedia services. This is achieved through streamlining the system for packet services, since LTE is an all Internet Protocol(IP) based network. The fact that 3G LTE is a packet based network brings about some improvements in the form of higher bit rates, lower latencies, and a variety of service offerings. However, some technical challenges are expected to arise when voice traffic is transmitted over an LTE network. This has become an interesting area of research and different types of resource management schemes have been developed, which are quite challenging and complex. In this paper, we have projected the voice packet scheduling and resource allocation problem as a constrained optimization problem. Our optimization objective is formulated using channel state information such as, transmission rate at the physical layer as well as the queuing state information like queue length at the MAC layer. We provide the algorithmic implementation of the obtained solution and also investigate the performance, complexity, and fairness of our proposed cross-layer scheduling algorithm under different conditions such as, VoIP delay, packet loss, etc. We compared it with other algorithms in literature such as, proportional fair (PF) and exponential proportional fair(EXP-PF). Based on the numerical and simulation analysis, we found that our proposed algorithm performed better than PF and EXP-PF in most cases.

Pages: 24 to 33

Copyright: Copyright (c) to authors, 2013. Used with permission.

Publication date: June 30, 2013

Published in: journal

ISSN: 1942-2601

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