Electroneurography is an electrophysiologic measurement of compound action potentials elicited by the supramaximal stimulation of a peripheral nerve. The stimulus intensity-response function was ...examined in the cat facial nerve following stimulation over two different sites of the facial nerve: the main trunk and the buccal branches. Thresholds were achieved at lower current settings, the resultant compound action potential exhibited a greater amplitude, and masseter muscle excitation was more evident following stimulation over the buccal region. The use of concurrent facial- and masseter-evoked electromyographic monitoring allows more sensitive detection of masseter excitation and a more accurate determination of the current level necessary for supramaximal stimulation.
The problem of joint scheduling and beamforming for a multiple antenna broadcast channel with partial channel state information at the transmitter (CSIT) is considered. We show how long-term ...statistical channel knowledge can be efficiently combined with instantaneous low-rate feedback for user selection and linear beamforming. A low complexity algorithm based on an estimate (bound) of the multiuser interference is proposed. Our scheme is shown to exhibit significant throughput gain over opportunistic techniques, approaching the sum rate of full CSIT for small angle spreads
Hydrolysis of Cellulose Esters Malm, C. J; Glegg, R. E; Salzer, J. T ...
Industrial & engineering chemistry process design and development,
01/1966, Letnik:
5, Številka:
1
Journal Article
We consider a multi-antenna broadcast channel with more single-antenna receivers than transmit antennas and partial channel state information at the transmitter (CSIT). An adaptive transmit mode ...switching scheme, in which the base station selects between single-user (TDMA) and multiuser transmission (SDMA) is proposed. In particular, we formulate a framework for distributed mode selection and sum-rate optimization with limited feedback. By assuming instantaneous local CSIT and statistical knowledge of non-local information, we derive a distributed algorithm in which each receiver feeds back scalar channel quality information (CQI) as well as its preferred mode decision. Low-complexity variants, which exhibit negligible decrease in sum rate, are also investigated. Performance analysis and simulations show that this scheme provides significant throughput gains for low to moderate number of users and linear capacity growth in the interference-limited region.
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