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In this paper, we focus on a new small cell discovery signal which improves the detection probability in ultra-dense small cell scenario. Due to the severe inter-cell interference, the detection performance of primary synchronization signal (PSS) and secondary synchronization signal (SSS) is deteriorated in future ultra-dense small cell scenario in the 3rd Generation Partnership Project (3GPP) long...
Multipath channels often exhibit sparse structures in the multiple-input single-output orthogonal frequency division multiplexing (MISO-OFDM) systems. Conventional linear channel estimation methods, such as least squares (LS), are based on the implicit assumption of rich multipath which results in low spectral efficiency. In this paper, exploiting the channel sparsity, we propose a novel sparse channel...
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) is the promising technology for next generation communication systems due to high throughput. Due to the coherent receiving and demodulation at the receiver, accurate channel state information (CSI) is indispensable. Conventional rich assumption-based channel estimators have been proposed at the cost of enough training...
In this paper, we propose an effective channel estimator by exploiting compressive sensing (CS) for multicarrier systems. Conventional linear channel estimators are considered optimal under the assumption of rich multipath, while the practical physical multipath channels tend to exhibit sparse structure. Exploiting the inherent sparsity, CS-based channel estimation can achieve higher spectral efficiency...
Motivated by providing quality-of-service for next generation IP-based networks, we design algorithms to schedule packets with values and deadlines. Packets arrive over time; each packet has a non-negative value and an integer deadline. In each time step, at most one packet can be sent. Packets can be dropped at any time before they are sent. The objective is to maximize the total value gained by...
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