jane Huang - Academia.edu (original) (raw)

Papers by jane Huang

conference on decision and control, Dec 1, 2008

This paper addresses the secondary user rate adaptation problem in cognitive radio networks. By m... more This paper addresses the secondary user rate adaptation problem in cognitive radio networks. By modeling primary user activities and secondary user block fading channels as finite state Markov chains, we formulate the transmission rate adaptation problem of each secondary user as a zerosum dynamic Markovian game with a delay constraint. The Nash equilibrium of the resulting game is available and all of the Nash equilibria have a unique value vector. Conditions are given so that the Nash equilibrium transmission policy of each user is a randomized mixture of pure threshold policies. Such threshold policies are easily implementable. Finally, we present a stochastic approximation algorithm which can adaptively estimate Nash equilibrium policies and track such policies for non-stationary problems where the statistics of the channel and user parameters evolve with time.

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010

This paper considers a Markovian dynamical game theoretic setting for distributed transmission co... more This paper considers a Markovian dynamical game theoretic setting for distributed transmission control in a wireless sensor network. The available spectrum bandwidth is modeled as a Markov chain. A distributed algorithm named correlated Q-learning algorithm is proposed to obtain the correlated equilibrium policies of the system. This algorithm has the decentralized feature and is easily implementable in a real system. Numerical example is also provided to verify the performances of the proposed algorithms.

IEEE Transactions on Wireless Communications, 2008

Page 1. 2300 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 7, NO. 6, JUNE 2008 Linear Precod... more Page 1. 2300 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 7, NO. 6, JUNE 2008 Linear Precoding for MIMO Channels with Outdated Channel State Information in Multiuser Space-Time Block Coded Systems with Multi-Packet Reception ...

IEEE Transactions on Communications, 2011

This paper considers downlink spectrum allocation in a long term evolution (LTE) system macrocell... more This paper considers downlink spectrum allocation in a long term evolution (LTE) system macrocell which contains multiple femtocells. By incorporating cognitive capabilities into femtocell base stations, the Home evolved Node Bs (HeNBs) can be formulated as secondary base stations seeking to maximize the spectrum utility while minimizing interference to primary base stations (evolved Node-Bs). The competition amongst cognitive HeNBs for spectrum resources is formulated as a non-cooperative game-theoretic learning problem where each agent (HeNB) seeks to adapt its strategy in real time. We formulate the resource block (RB) allocation among HeNBs in the downlink of a LTE system using a game-theoretic framework, where the correlated equilibrium solutions of the formulated game are being investigated. A distributed RB access algorithm is proposed to compute the correlated equilibrium RB allocation policy.

2007 IEEE Wireless Communications and Networking Conference, 2007

This paper considers a joint design of linear precoders and equalizers for uplink multiuser multi... more This paper considers a joint design of linear precoders and equalizers for uplink multiuser multiple-input multiple-output communications systems over uncorrelated flatfading channels with imperfect channel state information at both the transmitters and the receivers. By minimizing the mean square error (MSE) of all users, or equivalently the sum-MSE, under a sum-power constraint, we model the linear transceiver design as an optimization problem. Instead of relying on complex iterative algorithms, we propose a low-complexity, non-iterative but close-to-optimal precoder design solution by reformulating the problem into a simpler convex optimization problem. In this way, a closed-form linear transceiver structure can be derived by using the Karush-Kuhn-Tucker (KKT) optimality conditions. Based on the closed-form solution and random matrix theory, we obtain a simple asymptotic expression on the average sum-MSE, which can provide useful design insights.