The problem of cooperative multiple-input multiple-output (MIMO) amplify-and-forward (AF) relaying design for multi-user networks is studied, where each source transmits the data to its unique destination with the ass...
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ISBN:
(纸本)9781467385770
The problem of cooperative multiple-input multiple-output (MIMO) amplify-and-forward (AF) relaying design for multi-user networks is studied, where each source transmits the data to its unique destination with the assistance of multiple relays equipped with antenna arrays. We aim for jointly optimizing the beamforming weights of different relays in order to minimize the total received power at all the destinations, subject to a global relays' power constraint, while a set of linear constraints are imposed to preserve the desired signals at each destination. In contrast to prior contributions, which optimize the relaying weights in a batch processing mode, we propose a low-complexity adaptive update approach by designing a recursive algorithm for the relay beamforming weights. A relay power control method is also proposed, which can readily be incorporated into the proposed adaptive framework. The efficacy of the adaptive scheme is demonstrated by simulations in terms of its steady-state performance and tracking capability.
Input distribution shift presents a significant problem in many real-world systems. Here we present Xenovert, an adaptive algorithm that can dynamically adapt to changes in input distribution. It is a perfect binary t...
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An abundance of recent impossibility results establish that regret minimization in Markov games with adversarial opponents is both statistically and computationally intractable. Nevertheless, none of these results pre...
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In this paper, we propose a general approach for explicit a posteriori error representation for convex minimization problems using basic convex duality relations. Exploiting discrete orthogonality relations in the spa...
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License Assisted Access (LAA) is a technology developed to coexist with WiFi in unlicensed band. LAA performs Listen Before Talk (LBT) and accesses the channel by sending a Reservation Signal (RS), which will occupy t...
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License Assisted Access (LAA) is a technology developed to coexist with WiFi in unlicensed band. LAA performs Listen Before Talk (LBT) and accesses the channel by sending a Reservation Signal (RS), which will occupy the channel for a duration and cause a waste of spectrum so that reduce system throughput. In this paper, we propose an adaptive algorithm for LAA and WiFi Coexistence based on Q-learning (LWCQ) to dynamically schedule LAA communication, and determine LAA transmission duration after accessing the channel according to the communication state. LWCQ intends to avoid LAA accessing the channel frequently to reduce throughput loss, and it can also adjust appropriately LAA communication duration according to WiFi traffic. We analyze the performance of LWCQ, simulation results show that LWCQ effectively improves LAA and system throughput and ensures the fairness of LAA and WiFi communication.
We prove the contraction property for two successive loops of the adaptive algorithm for the Stokes problem reducing the error of the velocity. The problem is discretized by a divergenceconforming discontinuous Galerk...
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Information theoretical learning (ITL) has recently been proved to be an efficient tool for developing new adaptive filtering algorithms. The starting point of this approach is the use of an information theoretical co...
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Information theoretical learning (ITL) has recently been proved to be an efficient tool for developing new adaptive filtering algorithms. The starting point of this approach is the use of an information theoretical cost function. The most widely used family of algorithms in this class is the minimum error entropy (MEE). Linear and nonlinear adaptive filters from MEE family have better overall performance than traditional minimum mean-squared error and least-square filters in environments that include nonlinear models and/or where high-order-statistic noises are present, such as impulsive noises. In this paper, we study a well-known MEE-based algorithm: the normalized minimum error entropy (NMEE).We propose an alternative cost function associated with the current known NMEE update recursion. In addition, we propose a new update recursion related to the original NMEE cost function.
This paper proposes a predefined-time adaptive algorithm for the optimization problem with private inequality constraints. By designing algorithms, penalty parameters are designed to handle private inequality constrai...
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ISBN:
(数字)9798331508661
ISBN:
(纸本)9798331508678
This paper proposes a predefined-time adaptive algorithm for the optimization problem with private inequality constraints. By designing algorithms, penalty parameters are designed to handle private inequality constraints, and through adaptive penalties, the parameters in the algorithm are adaptively adjusted according to the degree of violation of private inequality constraints by the state solution. Moreover, The smoothing method is also integrated into adaptive penalty, overcoming the difficulty of non smooth dynamic behavior of the objective function and adaptive penalty parameters. In addition, a predefined-time mechanism is introduced to enable the algorithm to converge within the predefined-time.
We present an adaptive power and rate TDMA scheduling algorithm for unicasting messages from base stations to their associated mobile clients in a cellular wireless network. To enhance network robustness, we consider ...
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ISBN:
(纸本)9781450322102
We present an adaptive power and rate TDMA scheduling algorithm for unicasting messages from base stations to their associated mobile clients in a cellular wireless network. To enhance network robustness, we consider a relay-aided system under which relay stations are placed in fixed locations in each cell area. Upon a base station failure, a relay station is capable of receiving unicast transmissions issued by a neighboring base station, or by a relay station placed in a neighboring cell. Our adaptive power and rate scheduling algorithm reacts to base station failures by reconfiguring the unicast schedule and packet distribution routes. The objective of this paper is to study the performance behavior attained for such a scheme under pre-failure and post-failure scenarios. We show that our failover scheduling algorithm is effective in adapting to base station failures, limiting the performance degradation incurred.
In group testing, the goal is to identify a subset of defective items within a larger set of items based on tests whose outcomes indicate whether any defective item is present. This problem is relevant in areas such a...
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