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Compressive sensing multi-user detection with block-wise orthogonal least squares.
| Content Provider | CiteSeerX |
|---|---|
| Author | Schepker, Henning F. Dekorsy, Armin |
| Abstract | Abstract—One challenging future application in digital communications is the wireless uplink transmission in sensor networks. This application is characterized by sporadic transmissions by a large number of sensors over a random multiple access channel. To reduce control signaling overhead, we propose that sensors do not transmit their activity states; instead sensor activity is detected at the receiver. As sensors have low activity probabilities, the multi-user vector is in general sparse. This enables Compressive Sensing (CS) detectors to perform joint Multi-User Detection (MUD) of activity and data, by exploiting the sparsity. Since sensors are either active or inactive for several symbol durations, block-wise CS detection can be applied to improve the activity detection. In this paper, we introduce blockwise greedy CS MUD, compare it to symbol-wise greedy CS MUD, and show that statistically independent channels for each symbol further improve the activity detection for block-wise CS detection. Herein, we use Code Division Multiple Access (CDMA) as a multiple access scheme. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Multi-user Detection Block-wise Orthogonal Least Square Block-wise C Detection Activity Detection Low Activity Probability Wireless Uplink Transmission Activity State Large Number Sensor Network Future Application Joint Multi-user Detection Sporadic Transmission Random Multiple Access Channel Several Symbol Duration Digital Communication Multiple Access Scheme Compressive Sensing Multi-user Vector Symbol-wise Greedy C Mud Blockwise Greedy C Mud General Sparse Sensor Activity Independent Channel Code Division Multiple Access |
| Content Type | Text |
