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In handling massive-scale signal processing problems arising from ‘big-data’ applications, key technologies could come from the development of decentralized algorithms. In this context, consensus-based methods have been advocated because of their simplicity, fault tolerance and versatility. This paper presents a new consensus-based decentralized algorithm for a class of non-convex optimization problems...
We examine a cooperative uplink CDMA network where multiple sources simultaneously access the cooperative channel using different spreading codes and compete for the resources at the relays. To efficiently utilize the limited energy and bandwidth resources at the relays, we propose in this work a decentralized reduced-rank multiuser relaying (RR-MUR) where the data received at each relay is compressed...
Consider a downlink multicast scenario where a base station equipped with multiple antennas wishes to simultaneously broadcast a number of signals to some given groups of users over a common bandwidth. The goal of the base station is to select appropriate beamforming vectors so as to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among all users under a power budget constraint...
In this paper, Chi and Chen's computationally efficient fast kurtosis maximization algorithm (FKMA) for blind beamforming and equalization is applied to the design of the conventional cascade space-time receiver (CSTR) for blind co-channel interference and inter-symbol interference (ISI) reduction in cellular wireless communications using antenna arrays. However, the receiver performance is limited...
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