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In this paper, we first analyze impact of the distribution of sparse signals on reconstruction quality in compressive sensing through experimental results and heuristic analysis. We suggest that trinary/binary sparse signals are one of the most difficult signals to reconstruct in terms of error bounds. We then show that by incorporating linear or non-linear mapping prior to sensing, significant improvement...
We present an analytical framework for modeling a priority-based load balancing scheme in cellular networks. The model differs in many respects from previous work on load balancing, in particular by incorporating the call admission process, through random access; allowing differentiation of users based on their priorities; and by incorporating the received signal properties. The analysis illustrates...
A critical aspect of spectrum sensing involves determining the number and type of transmitters in the band of interest. We present a technique that exploits a combination of temporal and frequency-based analysis to enable significantly more accurate frequency offset measurements than would be possible with frequency domain measurements alone, thus enabling improved RF fingerprinting for frequency...
Femtocells are low-power, very small-service-area (e.g. home or office environment) cellular base stations that will significantly impact the cellular landscape in the next several years. One of the most important open technical issues related to femtocells concerns the impact on system performance of different policies regarding who is allowed to connect to a femtocell. In the present paper, interaction...
We present a new approach to variable bit rate (VBR) video traffic modeling designed to capture the multi- scale characteristics that are critical in determining buffering requirements. Much of the previous work in video traffic modeling has focused on real-time multimedia systems that of necessity involve queuing models with small buffers. Today there is growing interest in understanding systems...
We consider joint source-channel coding with variable length codes (VLCs) and LDPC codes. We propose an iterative source-channel decoding system, which involves message passing between a soft-input-soft-output VLC decoder and an LDPC decoder. The proposed system utilizes the residual redundancy of the variable length code during the iterative decoding process, and is expected to exhibit decoding convergence...
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