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cross-layer optimization for MIMO-Based wireless ad hoc networks: Routing, power allocation, and bandwidth allocation

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2008年第6期26卷 913-926页

作者： Liu, Jia Hou, Y. Thomas Shi, Yi Sherali, Hanif D. Virginia Polytech Inst & State Univ Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA Virginia Polytech Inst & State Univ Grado Dept Ind & Syst Engn Blacksburg VA 24061 USA

MIMO-based communications systems have great potential to improve network capacity for wireless ad hoc networks. Due to unique physical layer characteristics associated with MIMO, network performance is tightly coupled with mechanisms at physical, link, and routing layers. So far, research on MIMO-based wireless ad hoc networks is still in its infancy and few results are available. In this paper, we consider the problem of jointly optimizing power and bandwidth allocation at each node and multi-hop/multi-path routing in a MIMO-based wireless ad hoc network. We develop a solution procedure to this cross-layer optimization problem and use simulations to validate the efficacy of this solution.

关键词： multiple-input multiple-output (MIMO) multihop ad hoc network cross-layer optimization

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cross-layer optimization for Downlink Wavelet Video Transmission

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IEEE TRANSACTIONS ON MULTIMEDIA 2011年第4期13卷 813-823页

作者： Lee, Hyungkeuk Lee, Sanghoon Bovik, Alan Conrad Yonsei Univ Wireless Network Lab Ctr Informat Technol Seoul 120749 South Korea Univ Texas Austin LIVE Dept Elect & Comp Engn Austin TX 78712 USA

cross-layer optimization for efficient multimedia communications is an important emerging issue towards providing better quality-of-service (QoS) over capacity-limited wireless channels. This paper presents a cross-layer optimization approach that operates between the application and physical layers to achieve high fidelity downlink video transmission by optimizing with respect to a quality criterion termed "visual entropy" using Lagrangian relaxation. By utilizing the natural layered structure of wavelet coding, an optimal level of power allocation is determined, which permits the throughput of visual entropy to be maximized over a multi-cell environment. A theoretical approach to optimization using the Shannon capacity and the Karush-Kuhn-Tucker (KKT) conditions is explored when coupling the application with the physical layers. Simulations show that the throughput gain for cross-layer optimization by visual entropy is increased by nearly 80% at the cell boundary as compared with peak signal-to-noise ratio (PSNR).

关键词： cross-layer optimization downlink wavelet video power allocation visual entropy wavelet coding

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cross-layer optimization for Industrial Control Applications Using Wireless Sensor and Actuator Mesh Networks

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2017年第4期64卷 3250-3259页

作者： Park, Pangun Di Marco, Piergiuseppe Johansson, Karl Henrik Chungnam Natl Univ Dept Radio & Informat Commun Engn Taejon 305764 South Korea KTH Royal Inst Technol Sch Elect Engn ACCESS Linnaeus Ctr S-11428 Stockholm Sweden Ericsson Res S-16440 Stockholm Sweden

When multiple control processes share a common wireless network, the communication protocol must provide reliable performance in order to yield stability of the overall system. In this paper, the novel cross-layer optimized control (CLOC) protocol is proposed for minimizing the worst case performance loss of multiple industrial control systems. CLOC is designed for a general wireless sensor and actuator network where both sensor to controller and controller to actuator connections are over a multihop mesh network. The design approach relies on a constrained max-min optimization problem, where the objective is to maximize the minimum resource redundancy of the network and the constraints are the stability of the closed-loop control systems and the schedulability of the communication resources. The optimal operation point of the protocol is automatically set in terms of the sampling rate, scheduling, and routing, and is achieved by solving a linear programming problem, which adapts to system requirements and link conditions. The protocol has been experimentally implemented and evaluated on a testbed with off-the-shelf wireless sensor nodes, and it has been compared with a traditional network design and a fixed-schedule approach. Experimental results show that CLOC indeed ensures control application stability and fulfills communication constraints while maximizing the worst case redundancy gain of the system performance.

关键词： cross-layer optimization routing scheduling wireless sensor and actuator network

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cross-layer optimization for many-to-one wireless video streaming systems

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MULTIMEDIA TOOLS AND APPLICATIONS 2018年第19期77卷 24789-24811页

作者： Alsmirat, Mohammad A. Sarhan, Nabil J. Jordan Univ Sci & Technol Dept Comp Sci Irbid 22110 Jordan Wayne State Univ Dept Elect & Comp Engn Detroit MI 48202 USA

This paper develops a cross-layer optimization solution for video streaming from multiple sources to a central proxy station over a wireless network. The proposed solution manages the application rates and transmission opportunities of various video sources based on the dynamic network conditions in such a way that minimizes the overall video distortion. The solution includes a new online approach for estimating the effective network airtime and a new video bitrate-distortion model. We demonstrate the effectiveness of the proposed solution through extensive experiments. The results show that the proposed solution substantially enhances the perceptual video quality while reducing the power consumed by the video sources and that the solution is highly adaptable to the existence of interfering network traffic.

关键词： Bandwidth allocation cross-layer optimization Effective airtime estimation Video streaming Wireless networks WLAN

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cross-layer optimization Using Advanced Physical layer Techniques in Wireless Mesh Networks

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2012年第4期11卷 1622-1631页

作者： Shabdanov, Samat Mitran, Patrick Rosenberg, Catherine Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

The objective of this paper is to study the impact of advanced physical layer techniques on the maximum achievable throughput of wireless multihop mesh networks. We formulate a cross-layer optimization framework for the routing and scheduling problem jointly with the following physical layer techniques: successive interference cancellation, superposition coding, dirty-paper coding and their combinations. In the case when each node is enabled with superposition coding, we need to formulate a power allocation subproblem for the optimal power partition of the superimposed signals. We solve these joint problems exactly to compute the maximum achievable throughput in realistic size networks. This allows us to quantify the performance gains obtained by using these techniques (and their combinations). Specifically, we find that the use of dirty-paper coding (only at the gateway) is not justified in networks with mixed uplink and downlink flows. On the other hand, the combination of superposition coding with successive interference outperforms significantly other techniques across all transmission power range for both uplink and downlink flows. We also provide a number of interesting practical insights on throughput improvement by comparing different combinations of these techniques.

关键词： Successive interference cancellation superposition coding dirty paper coding multihop networks cross-layer optimization

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cross-layer optimization for data rate utility problem in UWB-based ad hoc networks

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2008年第6期7卷 764-777页

作者： Shi, Yi Hou, Y. Thomas Sherali, Hanif D. Virginia Polytech Inst & State Univ Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA Virginia Polytech Inst & State Univ Grado Dept Ind & Syst Engn Blacksburg VA 24061 USA

There is growing interest in employing ultra-wideband ( UWB) communication systems at the physical layer for multihop wireless networks. Recent efforts show that networking problems involving UWB systems should follow a cross-layer approach with consideration at multiple layers. Due to the nonlinear nature of the optimization problem, there are very limited theoretical results for this important problem. In this paper, we address this problem by considering a UWB-based ad hoc network. We study how to maximize capacity ( in the form of a data rate utility) for a set of communication sessions. Via a cross-layer approach, we formulate this utility maximization problem into a nonlinear programming ( NLP) problem, which takes into consideration routing, scheduling, and power control. We develop a solution procedure based on the so-called branch-and-bound framework. Within this framework, we employ a powerful optimization technique called reformulation linearization technique ( RLT). We use numerical results to validate the efficacy of this solution procedure and offer insights on UWB-based ad hoc networks. This work provides a theoretical result for the achievable performance bound for a UWB-based ad hoc network.

关键词： ultra-wideband (UWB) cross-layer optimization nonlinear optimization wireless networks

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cross-layer optimization for LDPC-coded multirate multiuser systems with QoS constraints

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2006年第7期54卷 2567-2578页

作者： Li, Kai Wang, Xiaodong Columbia Univ Dept Elect Engn New York NY 10027 USA

In this paper, we propose a new multirate multiple-access wireless system implemented by variable spreading gain and chip-level random interleaving. The receiver employs a flexible chip-level iterative multiuser detection scheme where the variable spreading gain affects only the despreading parameters. optimization across the physical and network layers in the uplink of such a system is treated. It is assumed that each user employs an low-density parity-check (LDPC) code to protect its data. At the physical layer, the quality of service (QoS) requirement is specified in terms of the target bit error rate (BER) of each user. Optimal user transmit powers are dynamically adjusted according to the current system load and the corresponding rate requirements. At the network layer, the QoS requirements include the call blocking probabilities, call connection delays, packet congestion probabilities and packet loss rates. To maximize the average revenue of the network subject to both call-level and packet-level QoS constraints, a multicriterion reinforcement learning (MCRL)-based adaptive call admission control (CAC) method is proposed that can easily handle multiple average QoS requirements. Unlike existing model-based approaches, the MCRL-based technique does not require the explicit knowledge of the state transition probabilities to derive the optimal policy. This feature is important when the number of states is so large that model-based optimization algorithms become infeasible, which is typically the case for a large integrated service network supporting a number of different service types.

关键词： admission control cross-layer optimization iterative multiuser detection low-density parity-check (LDPC) code multicriterion reinforcement learning multirate power allocation quality of service (QoS)

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cross-layer optimization for OFDM wireless networks - Part II: Algorithm development

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2005年第2期4卷 625-634页

作者： Song, GC Li, YG Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

We have established a theoretical framework for cross-layer optimization in orthogonal frequency division multiplexing (OFDM) wireless networks. In this paper, we focus on effective and practical algorithms for efficient and fair resource allocation in OFDM wireless networks. We have taken various conditions into account and developed a variety of efficient algorithms, including sorting-search dynamic subcarrier assignment, greedy bit loading, and power allocation, as well as objective aggregation algorithms. We have also modified those algorithms for a certain type of nonconcave utility functions. To further improve performance by exploiting time diversity, a low-pass time filter can be easily incorporated into all of the algorithms. Simulation results have confirmed that the utility-based cross-layer optimization can significantly enhance the system performance and guarantee fairness. The gains come from multiuser diversity, frequency diversity, as well as time diversity. The fairness is automatically achieved by the behavior of marginal utility functions.

关键词： cross-layer optimization frequency diversity multiuser diversity orthogonal frequency division multiplexing (OFDM) network time diversity

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cross-layer optimization for Wireless Multihop Networks with Pairwise Intersession Network Coding

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2009年第5期27卷 606-621页

作者： Khreishah, Abdallah Wang, Chih-Chun Shroff, Ness B. Purdue Univ Sch Elect & Comp Engn CWSA W Lafayette IN 47907 USA Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA

For wireless multi-hop networks with unicast sessions, most coding opportunities involve only two or three sessions as coding across many sessions requires greater transmission power to broadcast the coded symbol to many receivers, which enhances interference. This work shows that with a new Howbased characterization of pairwise intersession network coding (coding across two unicast sessions), an optimal joint coding, scheduling, and rate-control scheme can be devised and implemented using only the binary XOR operation. The new scheduling/rate-control scheme demonstrates provably graceful throughput degradation with imperfect scheduling, which facilitates the design tradeoff between the throughput optimality and computational complexity of different scheduling schemes. Our results show that pairwise intersession network coding improves the throughput of non-coding solutions regardless of whether perfect/imperfect scheduling is used. Both the deterministic and stochastic packet arrivals and departures are considered. This work shows a striking resemblance between pairwise intersession network coding and non-coded solutions, and thus advocates extensions of non-coding wisdoms to their network coding counterpart.

关键词： Network coding pairwise intersession network coding imperfect scheduling cross-layer optimization

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cross-layer optimization policy for QoS scheduling in computational grid

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JOURNAL OF NETWORK AND COMPUTER APPLICATIONS 2008年第3期31卷 258-284页

作者： Li Chunlin Li Layuan Wuhan Univ Technol Dept Comp Sci Wuhan 430063 Peoples R China

This paper presents a cross-layer quality of service (QoS) optimization policy for computational grid. Efficient QoS management is critical for computational grid to meet heterogeneity and dynamics of resources and users' requirements. There are different QoS metrics at different layers of computational grid. To improve perceived QoS by end users over computational grid, QoS supports can be addressed in different layers, including application layer, collective layer, fabric layer and so Forth. The paper tackles cross-layer grid QoS optimization as optimization decomposition, each layer corresponds to a decomposed subproblem. The proposed policy produces an optimal set of grid resources, service compositions and user's payments at the fabric layer, collective layer and application layer respectively to maximize global grid QoS. The cross-layer optimization problem decomposes into three subproblems: grid resource allocation problem, service composing and user satisfaction degree maximization problem, all of which interact through the optimal variables for capacities of grid resources and service demand. In order to coordinate the subproblems, cross-layer QoS feedback mechanism is established to ensure different layer interactions. The simulations are conducted to validate the efficiency of the proposed policy. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： cross-layer optimization Computational grid QoS scheduling

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