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We extend stochastic network optimization theory to treat networks with arbitrary sample paths for arrivals, channels, and mobility. The network can experience unexpected link or node failures, traffic bursts, and topology changes, and there are no probabilistic assumptions describing these time varying events. Performance of our scheduling algorithm is compared against an ideal T-slot lookahead policy...
This article analyzes the statistical properties of narrowband mobile-to-mobile (M2M) fading channels with equal gain combining (EGC) under line-of-sight (LOS) propagation conditions. Here, we study a dual-hop amplify-and-forward (AF)relay network. It is assumed that there can exist LOS components in the transmission links between the source mobile station and the destination mobile station via K...
We study the problem of gateway placement for cost minimization (GPCM) in two-dimensional wireless mesh networks. We are given a set of mesh routers, assume they have identical transmission range r, represented by unit transmission disks around them. A router may be selected as a gateway at certain placing cost. A router is served by a gateway if and only if the gateway is within its transmission...
The problem of resource allocation (RA) in a downlink OFDMA system with minimum user rate requests is examined under the realistic scenario of partial (imperfect) channel state information (CSI) at the base station. The challenge in this setting is the non-zero probability of outage events which may lead to significant performance degradation if algorithms assuming perfect CSI are utilized. In this...
This paper develops near-optimal designs of wireless networks in the presence of fading. The novel approach optimizes jointly application level rates, routes, link capacities, power consumption and physical layer parameters. The physical layer is interference limited with terminals distributing their power budget among frequency tones, neighboring nodes and fading states. The present contribution...
A simulation of the animal and the insect (metaheuristics) is a set of concepts that can be used to define heuristic methods that can be applied to a wide set of different problems. In other words, Metaheuristics can be seen as a general algorithmic framework which can be applied to different optimization problems with relatively few modifications to make them adapted to a specific problem. We apply...
Wireless mesh network deployments are popular as a cost-effective means to provide broadband connectivity to large user populations. As the network usage grows, network planners need to evolve an existing mesh network to provide additional capacity. In this paper, we study the problem of adding new capacity points (e.g., gateway nodes) to an existing mesh network. We first present a new technique...
This paper addresses the capacity optimization problem for MIMO wireless channels with a non-zero mean and transmit antenna correlation. With a decorrelator receiver, the capacity of the MIMO system is a function of the diagonal elements of an inverted noncentral Wishart distributed matrix. Hence, finding the average capacity is difficult. We simplify the problem by approximating the SNR of each spatial...
In this paper, we propose a cross-layer optimization approach that exploits retransmission diversity in wireless CDMA communications. Conventionally, data packets that are not correctly detected are usually dropped. These dropped packets can be used to help data packet detection. By exploiting all the retransmitted packets, data packets can be correctly detected with higher probability. The proposed...
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