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This paper investigates the joint optimization of power control and phase time assignment for two-way relay cellular networks. Three two-way relay schemes are considered: 1) Four-phase scheme without network coding, 2) Three-phase scheme with network coding on the network layer, 3) Two-phase scheme with decode-and-forward operation at the relay. Different from conventional work that focused on a single...
Several protocols have recently been defined for smart grids that enable the communication between electric devices and energy management systems. While these protocols and architectures can already be applied in different fields of micro grids, it is still not clear how the distributed resources and constraints of such electrical grids can be managed in an optimum way. In order to achieve a reduction...
Today reducing the energy usage of computing systems becomes a paramount task, no matter they are lightweight mobile devices, complex cloud computing platforms or large-scale supercomputers. Many existing studies in green computing focus on making the hardware more energy efficient. This is understandable because software running on low-power hardware will automatically consume less energy. Little...
The problem of allocation of frequency resources between users in cognitive radio networks using cognitive map is considered. Factors on this map are: the delay queue arrival rate of packets from the subscriber station, the signal-to-interference + noise, the requested resources, the resources available and allocated resources.
In a two-tier heterogeneous network with shared spectrum, the cross-tier interference and co-tier interference significantly affect the network performance. In this paper, we investigate a cascaded precoding scheme in orthogonal frequency-division multiplexing systems to protect macro-cell user equipments (MUEs) from the interference caused by co-located small cells and at the same time to satisfy...
The connection of entropy and managerial information with the entropy of chaos and catastrophes is analyzed in this article. Such catastrophes as local and world wars, biological, environmental, economical and technical happen in the world very often and take the millions of people lives and enormous wealth. The major cause for this is the increasing of chaos, limited control, diagnostics and timely...
Massive machine-to-machine (M2M) communication terminals can cause great challenges in cellular network. One of the critical challenges is to reduce network congestion and control signaling overhead. Most of data types in M2M communication is periodic data, which enables M2M user repetitively access networks, and inevitably lead to network congestion and large control signaling overhead. In this paper,...
This paper addresses the problem of pilot power allocation between users in massive multiuser multiple-input-multiple-output (MU-MIMO) systems with heterogeneous users. By exploiting the fact that heterogeneous users can experience different path loss and shadowing degradations due to their distinct locations, this paper proposes an optimized pilot power allocation strategy for massive MIMO systems...
The literature on thrust allocation algorithms that is currently available usually focuses on solving only a few of the many facets of the thrust allocation problem at a time. This paper presents a unified thrust allocation algorithm that solves most of the challenges that are faced by the practitioners in one algorithm. This includes controlling thrusters that can change the direction of the generated...
Parallel Turbo decoding encounters conflicts during parallel data accesses because of the sequential data interleaving, and the conflicts lead to a serious decrease of throughput. Traditional conflict-free memory mapping schemes often require a huge cost of hardware, such as the area of memory, which is also a bottleneck in practical implementations. In this work, DSATUR (Degree of Saturation) coloring...
In OFDMA-DAS systems, subcarrier assignment (SA), adaptive power allocation (PA) and distributed antenna (DA) port selection should be jointly optimized to exploit the system spectrum efficiency (SE). Existing algorithms do not limit the number of DA ports used. Actually, the system performance has a diminishing marginal effect on the gain of multiple ports due to interference among ports. Further,...
In this paper, we investigate low-complexity user scheduling schemes for the downlink (DL) massive multiuser multiple-input multiple-output (MU-MIMO) system, where an M-antenna (M is very large) base station (BS) serves K (K > 2) N-antenna (N > 1) users with linear transceivers. Establishing the theoretical foundation of our scheduling schemes, we first investigate the asymptotic sum-rates of...
A joint optimization problem of power allocation and computational functions for the advanced cooperation scheme, Compute-and-Forward, is analyzed, and an iterative algorithm to solve this problem is also introduced.
Radar resource management (RRM) is an active research field that has a strong practical importance and attracts the attention of both the scientists and industry experts. A discussion of the various approaches to RRM became essentially a discussion on how to formulate the optimization problem. Although much work has been done on optimal performance-based RRM, the approaches that take mission objectives...
In this paper, we consider the problem of secure communication in multiuser downlink wiretap networks where there exist a base-station (BS) equipped with multiple antennas, multiple legitimate receivers and a passive eavesdropper. The transmitter simultaneously transmits an information signal and artificial noise (AN) separately to the intended receivers and the eavesdropper, in which way, the secrecy...
Cloud computing is a flexible computing model where resources are allocated and deal located dynamically. The dynamic nature of allocating resources provide scope for optimizing the resources utilization. However the key challenge is to optimize the resource utilization without impacting the applications. In this context we argue that knowing the usage (behavior) of applications is important and using...
Modern mobile devices (smart phones, wearable devices, and smart vehicles) have greater resources (communication, computation, and sensing) than before, and these resources are not always fully utilized by device users. Therefore, mobile devices, from time to time, encounter other devices that could provide resources to them. Because the amount of such resources has increased with the number of mobile...
The conjugate gradient (CG) is one of the most widely used iterative methods for solving systems of linear equations. However, parallelizing CG for large sparse systems is difficult due to the inherent irregularity in memory access pattern. We propose a novel processor architecture for the sparse conjugate gradient method. The architecture consists of multiple processing elements and memory banks,...
We study the multiuser relay network and propose a distributed power-beamforming optimization algorithm to optimize the relay revenue and the utility of each user pair at the same time. The distributed manner of this algorithm is due to the pricing mechanism that provides the possibility of matching between user utility optimization and relay revenue maximization. Our algorithm consists of a power...
Interference alignment (IA) scheme for multiple input multiple output (MIMO) system has been widely studied. In this paper, we introduce a novel metric known as Group-SINR (GSINR), which is also the average SINR per stream of one group under perfect interference alignment. Based on the GSINR characterization, we develop a Max-GSINR algorithm to jointly optimize Transmitter-Receiver (Tx-Rx) beamformers...
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