Joint Access Point Selection and Power Allocation for Uplink Wireless Networks

We consider the distributed uplink resource allocation problem in a multi-carrier wireless network with multiple access points (APs). Each mobile user can optimize its own transmission rate by selecting a suitable AP and by controlling its transmit power. Our objective is to devise suitable algorithms by which mobile users can jointly perform these tasks in a distributed manner. Our approach relies on a game theoretic formulation of the joint power control and AP selection problem. In the proposed game, each user is a player with an associated strategy containing a discrete variable (the AP selection decision) and a continuous vector (the power allocation among multiple channels). We provide characterizations of the Nash Equilibrium of the proposed game, and present a set of novel algorithms that allow the users to efficiently optimize their rates. Finally, we study the properties of the proposed algorithms as well as their performance via extensive simulations.Comment: Revised and Resubmitted to IEEE Transactions on Signal Processin

A Comprehensive Survey of Potential Game Approaches to Wireless Networks

Potential games form a class of non-cooperative games where unilateral improvement dynamics are guaranteed to converge in many practical cases. The potential game approach has been applied to a wide range of wireless network problems, particularly to a variety of channel assignment problems. In this paper, the properties of potential games are introduced, and games in wireless networks that have been proven to be potential games are comprehensively discussed.Comment: 44 pages, 6 figures, to appear in IEICE Transactions on Communications, vol. E98-B, no. 9, Sept. 201

Power-efficient resource allocation in a heterogeneous network with cellular and D2D capabilities

This paper focuses on a heterogeneous scenario in which cellular and wireless local area technologies coexist and in which mobile devices are enabled with device-to-device communication capabilities. In this context, this paper assumes a network architecture in which a given user equipment (UE) can receive mobile service either by connecting directly to a cellular base station or by connecting through another UE that acts as an access point and relays the traffic from a cellular base station. The paper investigates the optimization of the connectivity of different UEs with the target to minimize the total transmission power. An optimization framework is presented, and a distributed strategy based on Q-learning and softmax decision making is proposed as a means to solve the considered problem with reduced complexity. The proposed strategy is evaluated under different conditions, and it is shown that the strategy achieves a performance very close to the optimum. Moreover, significant transmission power reductions of approximately 40% are obtained with respect to the classical approach, in which all UEs are connected to the cellular infrastructure. For multi-cell scenarios, in which the optimum solution cannot be easily known a priori, the proposed approach is compared against a centralized genetic algorithm. The proposed approach achieves similar performance in terms of total transmitted power, while exhibiting much lower computational requirements.Peer ReviewedPostprint (author's final draft

IEEE Transactions on Signal Processing : Vol. 61, No. 13,14,15, 16, July - August 2013

1. Improved Design of Frequency- Response Masking Filters Using Band-Edge Shaping Filter with Non-Periodical Frequency Response / Ying Wei, Debao Liu 2. Compressed Sensing and Affine Rank Minimization Under Restricted Isometry / T. Tony Cai, Anru Zhang 3. On Constrained Randomized Quantization, Emrah Akyol, Kenneth Rose 4. Convexity Properties of Detection Probability Under Additive Gaussian Noise: Optimal Signaling and Jamming Strategies / Berkan Dulek, Sinan Gezici, Orhan Arikan 5. The Schur Algorithm Applied to the One-Dimensional Continuous Inverse Scattering Problem / Youngchol Choi, et al. 6. Region-Based Wavelet-Packet Adaptive Algorithm for Identification of Sparse Impulse Responses / Odair A. Nososki, Jose C.M. Bermudez, Sergio J.M. de Almeida 7. Joint Access Point Selection and Power Allocation for Uplink Wireless Networks / Mingyi Hong, et al. 8. Asymptotic Properties of Robust Complec Covariance Matrix Estimates / Melanie Mahot, et al. 9. Tight Wavelet Frames on Multislice Graphs / Nora Leonardi, Dimitri Van De Ville 10. Topology Estimation for Smart Micro Grids via Powerline Communications / Tomaso Erseghe, Stefano Tomasin, Alberto Vigato 11. Tensor Approach for Eigenvector-Based Multi-Dimensional Harmonic Retrieval / Weize Sun, et al. 12. Joint Tranceiver Design for Iterative FDE / Wei Han, et al. 13. A Tutorial on Bernouli Filters: theory, implementation and applications / Branko Ristic, et al. 14. Receive Combining vs. Multi Stream Multiplexing in Downlink Systems with Multi-Antenna Users / Emil Bjornson, et al. 15. Distributed LCMV Beamforming in a Wireless Sensor Network with Single-Channel Per-Node Signal Transmission / Alexander Bertrand, Marc Moonen etc