The capacity of wireless networks
IEEE Transactions on Information Theory
On the scaling laws of dense wireless sensor networks: the data gathering channel
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Low-density parity-check matrices for coding of correlated sources
IEEE Transactions on Information Theory
Network information flow with correlated sources
IEEE Transactions on Information Theory
IEEE Communications Magazine
Cooperative communication in wireless networks
IEEE Communications Magazine
Correlated sources over wireless channels: cooperative source-channel coding
IEEE Journal on Selected Areas in Communications
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In this paper, we study the performance of non-cooperative wireless multiple access systems with noisy separated channels, where correlated sources communicate to an access point (AP) in the presence of block-faded links. This is meaningful for pervasive wireless scenarios, e.g., wireless sensor networks, where information may be exchanged between a multitude of nodes. Our goal is to explore the potential benefits which can be obtained when source correlation is exploited at the AP, comparing the performance with that obtained by using distributed source coding (DSC) at the nodes. We consider both the average bit error probability and the outage probability as performance indicators, and we derive a theoretical approach to evaluate their limits. Our results show that the improvement brought by the exploitation of the correlation at the AP is more evident when the correlation becomes sufficiently high. Moreover, some simulation results are presented for two classes of channels codes: serially concatenated convolutional codes (SCCCs) and low-density parity-check (LDPC) codes. Our results show that SCCCs can exploit better the correlation in scenarios with high values of the correlation coefficient (e.g., 0.999).