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Assuring quality of service (QoS) is an extreme challenge in cellular multimedia delivery. Without appropriate QoS, the content delivered cannot meet consumers' aesthetic demands and thus resulting in revenue loss for the service provider. In this paper, we propose a novel multi-path cellular network architecture through placement of additional base stations (BSs), i.e., antennae in the existing cellular architecture. This architecture provides a MU more than one communication links with the BSs placed in different locations. The availability of multiple channels allows the implementation of path diversity transmission protocols and improves error resilience capability for multimedia services. The problem of link failure and blind spots in the existing cellular networks are handled for voice communications as at least one base station can maintain a line of sight communication path with the MU. The distributed nature of base station placement and multiple diversified path links also reduces outage probability. We show that our proposed architecture provides better reliability and maintains cell capacity for high bandwidth multimedia services while improving signal to interference ratio compared to the existing cellular network model.Keywords-cellular network architecture, multi-path communication, quality of service assurance, multimedia content delivery, cellular internet facility.

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In spatial resolution reduction transcoding, the original resolution of the incoming frames is reduced to a lower resolution in the out going frames. In the reduced resolution the motion vector of every macroblock needs to be calculated from the corresponding four macroblock of the original frame. Instead of re-estimating these motion vectors, a number of techniques recompose these vectors using the incoming information to reduce computational complexity. Many techniques utilize the quantized DCT coefficients of residual blocks for composing the invalid vectors. This paper proposes a new motion vector composition technique by normalizing the low frequency DCT coefficients with the visual quantization matrix (VQM) derived from the study of human visual system (HVS). Simulation results show that the performance of this modified technique is better compared to other similar techniques.