13,393 research outputs found
QoS Based Capacity Enhancement for WCDMA Network with Coding Scheme
The wide-band code division multiple access (WCDMA) based 3G and beyond
cellular mobile wireless networks are expected to provide a diverse range of
multimedia services to mobile users with guaranteed quality of service (QoS).
To serve diverse quality of service requirements of these networks it
necessitates new radio resource management strategies for effective utilization
of network resources with coding schemes. Call admission control (CAC) is a
significant component in wireless networks to guarantee quality of service
requirements and also to enhance the network resilience. In this paper capacity
enhancement for WCDMA network with convolutional coding scheme is discussed and
compared with block code and without coding scheme to achieve a better balance
between resource utilization and quality of service provisioning. The model of
this network is valid for the real-time (RT) and non-real-time (NRT) services
having different data rate. Simulation results demonstrate the effectiveness of
the network using convolutional code in terms of capacity enhancement and QoS
of the voice and video services.Comment: 10 Pages, VLSICS Journa
Energy Efficient Mobile Sink Based Routing Model For Maximizing Lifetime of Wireless Sensor Network
Recently, wide adoption of wireless sensor networks (WSNs) has been seen for provision real-time and non-real-time application services. Provisioning these application service requires energy efficient routing design for WSN. Clustering technique is an efficient mechanism that plays a major role in minimizing energy dissipation of WSN. However, the existing model are designed considering minimizing energy consumption of sensor device considering homogenous. However, it incurs energy overhead among cluster head. Further, maximizing coverage time is not considered by exiting clustering approach considering heterogeneous network affecting lifetime performance. For overcoming issues of routing data packets in WSN, mobile sink has been used. Here, the sensor device will transmit packet in multihop fashion to the rendezvous and the mobile sink will move towards rendezvous points (RPs) to collect data, as opposed to all nodes. However, the exiting model designed so far incurs packet delay (latency) and energy (storage) overhead among sensor device. For overcoming research challenges, this work present energy efficient mobile sink based routing model for maximizing lifetime of wireless sensor network. Experiment are conducted to evaluate the performance of proposed model shows significant performance in terms of communication, routing overhead and lifetime of sensor network
Wireless Communications in the Era of Big Data
The rapidly growing wave of wireless data service is pushing against the
boundary of our communication network's processing power. The pervasive and
exponentially increasing data traffic present imminent challenges to all the
aspects of the wireless system design, such as spectrum efficiency, computing
capabilities and fronthaul/backhaul link capacity. In this article, we discuss
the challenges and opportunities in the design of scalable wireless systems to
embrace such a "bigdata" era. On one hand, we review the state-of-the-art
networking architectures and signal processing techniques adaptable for
managing the bigdata traffic in wireless networks. On the other hand, instead
of viewing mobile bigdata as a unwanted burden, we introduce methods to
capitalize from the vast data traffic, for building a bigdata-aware wireless
network with better wireless service quality and new mobile applications. We
highlight several promising future research directions for wireless
communications in the mobile bigdata era.Comment: This article is accepted and to appear in IEEE Communications
Magazin
Mobile Communications Industry Scenarios and Strategic Implications for Network Equipment Vendors
Mobile infrastructure markets have changed dramatically during the past years. The industry is experiencing a shift from traditional large-scale, hardware-driven system roll-outs to software and services -driven business models. Also, the telecommunications and internet worlds are colliding in both mobile infrastructure and services domains requiring established network equipment vendors and mobile operators to transform and adapt to the new business environment. This paper utilizes Schoemaker's scenario planning process to reveal critical uncertain elements shaping the future of the industry. Four possible scenarios representing different value systems between industry's key stakeholders are created. After this, five strategic options with differing risk and cost factors for established network equipment vendors are discussed in order to aid firm's strategic planning process. --
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