In this paper, we present an analytical method for effectively evaluating the channel utilization of voice calls in voice over WLAN systems. The method is under realistic assumptions general enough to deal with various cases of mixed traffic sources and transmission conditions. The accuracy and effectiveness of our method are validated through experiments. The method provided a basis for a prototype call-admission-control system for VoWLAN, in an attempt to enable an operational VoWLAN system with quality-of-service support.
With the popularity of mobile communication, the importance of backbone network of the mobile networks, i.e. mobile backhaul networks, has increased significantly. With the decreasing size of mobile network system cells, it is considered next-generation mobile backhaul networks will be mesh-based. To reduce the operating expenses, i.e. OPEX, of the network, mobile network carriers are beginning to shift their circuit-switched networks to packet-switched networks. Most mobile backhaul networks are formed with microwave radios. To increase data rate, Adaptive Modulation and Coding (AMC) is used for wireless links. As a result, the data rate of each wireless link changes over time and thus leads to unexpected packet loss or traffic degradation. This paper proposes a routing scheme and methods for estimating the transmission parameters or modes of wireless links to route bandwidth guaranteed flows over mobile backhaul networks. With estimation methods, degradation of existing flows caused by unexpected changes in the data rate of wireless links can be reduced. This paper shows using mode history of link to estimate the link quality can route bandwidth guaranteed flows efficiently by choosing more stable links for the path. We also show that link estimation methods are effective when mode distribution follows normal, uniform and Poisson distributions.
The 5th generation mobile and wireless communication systems are expected to accommodate exploding traffic, increasing number of devices, and heterogeneous applications driven by proliferation of IoT and M2M technologies. The centralized mobility management architecture in a current mobile core network cannot satisfy these emerging requirements. In this paper, we introduce novel architecture of distributed mobility management and an autonomous and adaptive mobility management scheme which distributes mobility management function on nodes in a mobile core network in accordance with mobility characteristics of UEs and a management policy. We adopt a biologically-inspired adaptation algorithm, called attractor selection, to accomplish adaptive selection taking into account multiple objectives. Through simulation experiments, we confirmed that our proposal could accomplish lower delay, higher load balancing, and lower C-plane overhead comparing to other methods including the current standard.
SUMMARYBackbone network of the mobile networks, i.e. mobile backhaul networks, is an important part of mobile network system. With the decreasing size of mobile network system cells, it is considered nextgeneration mobile backhaul networks will form mesh topology. Most mobile backhaul networks are formed with microwave radios. To increase data rate, Adaptive Modulation and Coding (AMC) is used for wireless links. However, the data rate of each wireless link changes over time and leads to unexpected packet loss or traffic degradation. This paper proposes a routing scheme and methods for estimating the transmission parameters or modes of wireless links to route bandwidth guaranteed flows over mobile backhaul networks. Proposed routing scheme can reduce degradation of flows caused by unexpected changes of the data rate of wireless links. We evaluate our routing scheme when mode distribution of links follows normal, uniform and Poisson distributions. This paper shows mode estimation using mode history of link to estimate the link quality can route bandwidth guaranteed flows efficiently by choosing more stable links for the path.
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