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It is well known that most wireless channels are sparse. The channel impulse responses (CIRs) of certain size antenna array have a partially shared support due to the spatial correlation. Moreover, the CIRs during adjacent symbols have a common support due to the temporal correlation. In this paper, we propose a novel compressed channel estimation scheme for the uplink massive multi-input multi-out...
In this paper, we address the channel estimation problem for multiple-input multiple-output (MIMO) multi-relay systems exploiting measurements collected at the destination only. Assuming that the source, relays, and destination are multiple-antenna devices and considering a three-hop amplify-and-forward (AF)-based training scheme, new channel estimation algorithms capitalizing on a tensor modeling...
For relatively distant message transmitting over independent complex Gaussian channels in ad hoc sensor networks, a low-complexity and near-optimum to the theoretical upper bound opportunistic collaborative beamformer with limited feedback is proposed in this paper.When restricting the transmitting power to unit, to maximize the received power at the destination node, not all the relay nodes should...
While essentially all the frequency is allocated to different wireless applications, observations provide evidence that usage of the spectrum is actually quite limited. Fortunately, cognitive radio technology offers an attractive solution to the reuse of under-utilized licensed spectrum. Therefore, proper channel selection mechanism and channel quality metric are essential to exploit the benefits...
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