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In this paper, we study random access for machine-type communications based on a multiple access scheme that exploits different channel state information (CSI) from active devices under frequency-selective fading, which is called channel division multiple access (ChDMA). In ChDMA, in order to use a low-complexity compressive sensing (CS) algorithm for multiuser detection (MUD) with a high transmission...
In this paper, we study random access for machinetype communications (MTC) based on a multiple access scheme that exploits different channel state information (CSI) from active devices under frequency-selective fading, which is called channel division multiple access (ChDMA). In ChDMA, in order to use a low-complexity compressive sensing (CS) algorithm for multiuser detection (MUD) with a high transmission...
In this paper, we study the advantages of multiple antennas at an access point (AP) for random access by smart meters in smart utility network (SUN) in terms of access delay and security. For random access with the capability of multiple signal recovery, we consider compressive random access and show that multiple antennas can help improve the access delay. In addition, we consider updating keys to...
In this paper, we study a criterion for measurement matrices to understand the performance of sparse signal recovery. In particular, we consider the activity detection in compressive random access and derive an approximate upper-bound on the recovery error probability using pair-wise error probability (PEP) when the maximum likelihood (ML) detection is employed. From the approximate upper-bound, we...
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