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Linear Precoding with Resource Allocation for MIMO Relay Channels
Monroy, Edwin,Choi, Sunghyun,Jabbari, Bijan IEEE 2013 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS Vol.12 No.11
<P>This paper considers a half-duplex relay channel with a single source, relay, and destination, where each node has multiple antennas and the relay operates in decode-and-forward (DF) mode. The additional degrees of freedoms introduced by the MIMO channels entail increased complexity in comparison with the single antenna case. We propose a new transmission strategy for the relay channel that is able to take advantage of the MIMO gains while employing practical techniques that help reduce complexity. In the proposed scheme, the source splits its message in two parts and sends them to the destination, one part directly and the other with help from the relay. For such a transmission strategy, we formulate the problem of obtaining the rate-maximizing linear precoding matrices with time, power, and spatial stream allocation and transform the problem into a convex form. We also propose a suboptimal algorithm that provides simplifying expressions to solve the resulting problem with far less computational complexity. The numerical results show that the achievable rate of our scheme is greater than the DF rate in certain scenarios, as well as that of other practical existing strategies. In addition, the rate obtained by the suboptimal method approximates the optimal rate extremely well in all considered scenarios.</P>
Automated brainstem segmentation detects differential involvement in atypical parkinsonian syndromes
Martina Bocchetta,Juan Eugenio Iglesias,Viorica Chelban,Edwin Jabbari,Ruth Lamb,Lucy L. Russell,Caroline V. Greaves,Mollie Neason,David M. Cash,David L. Thomas,Jason D. Warren,John Woodside,Henry Houl 대한파킨슨병및이상운동질환학회 2020 Journal Of Movement Disorders Vol.13 No.1
Brainstem segmentation has been useful in identifying potential imaging biomarkers for diagnosis and progression in atypical parkinsonian syndromes (APS). However, the majority of work has been performed using manual segmentation, which is time consuming for large cohorts.