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- Fathi, Mohammad, et al.
(författare)
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Distributed Resource Optimization in Multicell OFDMA Networks
- 2012
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Ingår i: Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC). - : IEEE. - 9781467304368 ; , s. 1316-1320
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Konferensbidrag (refereegranskat)abstract
- We consider the joint allocation of receiver, bit, and power to subcarriers in the downlink of multicell orthogonal frequency-division multiple-access (OFDMA) networks. Assuming that the cells share the entire bandwidth and that the rates are discrete, we formulate the joint allocation problem as a nonlinear mixed integer program (MIP), which however has exponential worst-case complexity. We capitalize on the capability of the receivers to measure the interference-plus-noise on every subcarrier and decompose the joint problem into a set of smaller-scale linear MIPs solved by individual base stations. Accordingly, we propose a distributed algorithm with linear complexity, in which the base stations participate in the problem solution in a round-robin manner. Simulation results demonstrate the effectiveness of the proposed algorithm in comparison with the iterative waterfilling algorithm and the successive optimal solution, by means of standard branch-and-cut solvers, of the individual MIPs.
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| 2. |
- Hansen, Jeffery, et al.
(författare)
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Adaptive Quality of Service in Ad Hoc Wireless Networks
- 2012
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Ingår i: IEEE Wireless Communications and Networking Conference (WCNC). - 9781467304368 ; , s. 1749-1754
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Konferensbidrag (refereegranskat)abstract
- In high criticality crisis scenarios, such as disaster management, ad hoc wireless networks are quickly assembled in the field to support decision makers through situational awareness using messaging-, voice-, and video-based applications. These applications cannot afford the luxury of stalling or failing due to overwhelming bandwidth demand on these networks as this could contribute to overall mission failure. This paper describes an approach for satisfying application-specific Quality of Service (QoS) expectations operating on ad hoc wireless networks where available bandwidth fluctuates. The proposed algorithm, D-Q-RAM (Distributed QoS Resource Allocation Model) incorporates a distributed optimization heuristic that results in near optimal adaptation without the need to know, estimate, or predict available bandwidth at any moment in time.
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| 5. |
- Mitra, Karan, et al.
(författare)
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Performance evaluation of a decision-theoretic approach for quality of experience measurement in mobile and pervasive computing scenarios
- 2012
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Ingår i: 2012 IEEE Wireless Communications and Networking Conference (WCNC). - Piscataway, NJ : IEEE Communications Society. - 9781467304368 ; , s. 2418-2423
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Konferensbidrag (refereegranskat)abstract
- Measuring and predicting users quality of experience (QoE) in dynamic network conditions is a challenging task. This paper presents results related to a decision-theoretic methodology incorporating Bayesian networks (BNs) and utility theory for quality of experience (QoE) measurement and prediction in mobile computing scenarios. In particular, we show how both generative and discriminative BNs can be used to measure and predict users QoE accurately for voice applications under several wireless network conditions such as wireless signal fading, vertical handoffs, wireless network congestion and normal hotspot traffic. Through extensive simulation studies and results analysis, we show that our proposed methodology can achieve an average accuracy of 98.70% using three different types of Bayesian network.
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