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Network-on-chip (NoC) is an on-chip communication network that allows parallel communication among all cores to improve inter-core performance. Wireless NoC (WiNoC) introduces long-range and high bandwidth radio frequency (RF) interconnects that can possibly reduce the multi-hop communication of the planar metal interconnects in conventional NoC platforms. In WiNoC, RF transceivers account for a significant power consumption, particularly its transmitter, out of its total communication energy. This paper evaluates the energy and latency performance of a closed loop power management mechanism which enables transmitting power reconfiguration in WiNoC based on number of erroneous received packets. The scheme achieves significant energy savings with limited performance degradation and insignificant impact on throughput.

Quality of Service (QoS) of video streaming service over wireless and mobile network is determined by many intermingled factors. Some of the factors can be adjusted. Video resolution, audio rate, and bandwidth are among of them. Other factors are not fully controllable such as network throughput, delay, and packet lost probability. In order to increase user satisfaction, efforts to make better quality of video services should consider these factors. However,userperceived quality of the service is not only determined by QoS factors. User experience, user expectation and user interest to specific content are among factors that influence level of user satisfaction. In this context, customer satisfaction is known as Quality of user Experience (QoE). Moreover, there is a nonlinearity issue regarding improvement of QoS and QoE. This paper will discuss a holistic view of video service quality in order to elaborate the nonlinearity of QoS and QoE factors and their contribution to enhance user satisfaction.

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Customer satisfaction has become essential in any service due to its positive influence to customer loyalty and further market opportunity. In video stream service over wireless and mobile network, customer satisfaction is determined by many interacting aspects. It includes objective Quality of Service (QoS) parameters and subjective Quality of user Experience (QoE) factors. In addition, customer satisfaction is also determined by business strategy that applied by service stakeholders e.g. pricing and customer care. Some issues arise due to interaction between these aspects. These issues are difficult to be addressed by creative and logical problem solving strategy. This paper discusses Soft System Methodology (SSM) to elucidate what the actual problem of these interacting aspects. It is expressed through seven consecutive stages of SSM that illustrate problem solving process from unstructured problem to structured problem. This paper also proposes a methodology to model the interacting aspects in determining customer satisfaction.