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Internet-of-Things (IoT) applications grew rapidly in recent years. Deployment of massive machine-type communication (mMTC) with scalability and reliability becomes a challenging issue. The feature of activity sparsity in mMTC devices makes room for us to efficiently handle detection by compressive sensing (CS)-based multi-user detection (CS-MUD). However, the limited resource, such as the design...
To leverage multiplexing gain, a hybrid beamforming architecture transmitting multiple data streams is widely adopted for Millimeter wave (mmWave) channel. However, for ultra-low latency mmWave communication, the hybrid design must require the development of instantaneous channel estimation. In this paper, we reveal a novel idea of progressive channel estimation through iteratively refining multiple...
The maximum likelihood sequence estimation (MLSE) is an optimal equalization method to suppress Inter-Symbol Interference (ISI) in communication and storage systems. The Viterbi Algorithm (VA) provides an exact solution of MLSE. To reduce the complexity of VA, MLSE-DFE, which combines the VA within a decision feedback equalizer (DFE), is widely used in practical designs; however, the computing complexity...
Rapid growth in the number of users (largely sensor nodes) of most Internet-of-Things (IoT) applications is widely expected in recent years. 3G or 4G protocols are designed for regular Human-to-Human communication purposes instead of low-rate, Machine-to-Machine (M2M) communication, which is the basis of IoT. Comparatively, traditional spread-spectrum protocols such as Code-Division Multiple Access...
The decision feedback equalizer (DFE) is an efficient scheme to suppress intersymbol interference (ISI) in various communication and magnetic recording systems. However, most DFE implementations suffer from the phenomenon of error propagation, which degrades its bit error rate (BER) performance. In this paper, We use sphere detector (SD) to achieve maximum likelihood (ML) detection and significantly...
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