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We present a distributed algorithm for joint power control, routing and scheduling in multihop wireless networks. The algorithm also provides for Quality of Service (QoS) guarantees, namely, end-to-end mean delay guarantees and hard deadline guarantees, for different users. It is easily implementable and works by giving local dynamic priority to flows requiring QoS, the priority being a function of...
In this work, we use Pitman's efficiency to characterize the diversity of a spatio-temporal distributed detection system. Pitman's efficiency directly measures the detection ability of the data at low signal to noise ratios (SNRs). We study how the statistics of spatio-temporal distributed data affect the diversity of the system. We derive the diversity measure for the optimal likelihood ratio test...
In this paper, competitive interactions between a secondary transmitter-receiver pair and a jammer are investigated in a distributed manner over N orthogonal frequency bands, each of which is licensed to a primary user (PU). There is an interference restriction at the secondary receiver (SR) and power budget constraints at the secondary transmitter (ST) and the jammer. In addition, the ST (jammer)...
We consider the problem of spectrum sensing in cognitive radio networks under model uncertainties, i.e., the distribution under null hypothesis and the alternate hypothesis is not known. We model the presence of the primary signal as a mean change problem. Two simple nonparametric sequential algorithms for testing the mean are proposed. These nonparametric algorithms are applied to a decentralized...
We consider the problem of spectrum sensing in a Cognitive Radio (CR) system when the primaries can be occupying a few subbands in a wideband spectrum. Since the primary signal dimension is large, Nyquist rate can be very high. Compressive sensing (CS) can be useful in this setup. However a CR system needs to operate at a very low SNR(∼ −20dB) where the compressive sensing techniques are usually not...
We study the diversity order vs rate of an additive white Gaussian noise (AWGN) channel in the whole capacity region. We show that for discrete input as well as for continuous input, Gallager's upper bounds on error probability have exponential diversity in low and high rate region but only subexponential in the mid-rate region. For the best available lower bounds and for the practical codes one observes...
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