85 research outputs found
Max-Weight Revisited: Sequences of Non-Convex Optimisations Solving Convex Optimisations
We investigate the connections between max-weight approaches and dual
subgradient methods for convex optimisation. We find that strong connections
exist and we establish a clean, unifying theoretical framework that includes
both max-weight and dual subgradient approaches as special cases. Our analysis
uses only elementary methods, and is not asymptotic in nature. It also allows
us to establish an explicit and direct connection between discrete queue
occupancies and Lagrange multipliers.Comment: convex optimisation, max-weight scheduling, backpressure, subgradient
method
Proportional Fair MU-MIMO in 802.11 WLANs
We consider the proportional fair rate allocation in an 802.11 WLAN that
supports multi-user MIMO (MU-MIMO) transmission by one or more stations. We
characterise, for the first time, the proportional fair allocation of MU-MIMO
spatial streams and station transmission opportunities. While a number of
features carry over from the case without MU-MIMO, in general neither flows nor
stations need to be allocated equal airtime when MU-MIMO is available
Full Exploitation of Limited Memory in Quantum Entanglement Switching
We study the problem of operating a quantum switch with memory constraints.
In particular, the switch has to allocate quantum memories to clients to
generate link-level entanglements (LLEs), and then use these to serve
end-to-end entanglements requests. The paper's main contributions are (i) to
characterize the switch's capacity region, and (ii) to propose a memory
allocation policy (MEW) that is throughput optimal. The worst-case time
complexity of MEW is exponential on the system parameters. However, when the
requests are bipartite and the LLE attempts are always successful, we propose a
variant of MEW (MEW2) that has polynomial time complexity. We evaluate the
proposed policies numerically and illustrate their performance depending on the
requests arrivals characteristics and the time available to obtain a memory
allocation
Is Leader Developing Behavior related to Employees' Health Complaints? A Multilevel Investigation
The goals of this study were to ascertain whether a specific leadership behavior (developing subordinates) is related to employees' health complaints and determine some of the underlying mechanisms involved. The hypothesized relationships were investigated in a sample composed of 538 employees working in 170 work-units of a public regional health service. Multilevel structural equation modeling was used to estimate the hypothesized relationships at the individual and work-unit levels. Results obtained at the individual level showed, as expected, that leader developing behavior was negatively related to employees' health complaints through two mediators: organizational commitment and emotional exhaustion. At the work-unit level, leader developing behavior was not related to employees' health complaints. Our findings uncover some of the mechanisms linking leader developing behavior and employees' health complaints at the individual level, show that the observed relationships cannot be generalized across levels, and have implications for the Job Demands-Resources theory
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