scholarly journals Uplink Resource Allocation in Device-to-Device Communication System

2018 ◽  
Vol 246 ◽  
pp. 03003
Author(s):  
Xiuwei Han ◽  
Xin Song ◽  
Dong Li ◽  
Jingpu Wang
Keyword(s):  
Resource Allocation ◽  
Power Control ◽  
Channel Assignment ◽  
Optimization Problem ◽  
Signal To Noise Ratio ◽  
System Capacity ◽  
Optimal Selection ◽  
Resource Allocation Problem ◽  
Selection Algorithm ◽  
Signal To Noise

In this paper, we study uplink resource allocation problem to maximize the overall system capacity while guaranteeing the signal-to-noise ratio of both D2D users and cellular users (CUs). The optimization problem can be decomposed into two subproblems: power control and channel assignment. We first prove that the objective function of power control problem is a convex function to get the optimal transmit power. Then, we design an optimal selection algorithm for channel assignment. Numerical results reveal the proposed scheme is capable of improving the system’s performance compared with the random selection algorithm.

scholarly journals Resource Allocation with a Rate Guarantee Constraint in Device-to-Device Underlaid Cellular Networks

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 438 ◽  
Author(s):  
Doyle Kwon ◽  
Duk Kyung Kim
Keyword(s):  
Resource Allocation ◽  
Power Control ◽  
Cellular Networks ◽  
Channel Assignment ◽  
Optimization Problem ◽  
Data Rate ◽  
Integer Programming Problem ◽  
Channel Bandwidth ◽  
Device To Device ◽  
The Impact

Device-to-device (D2D) communication is a crucial technique for various proximity services. In addition to high-rate transmission and high spectral efficiency, a minimum data rate is increasingly required in various applications, such as gaming and real-time audio/video transmission. In this paper, we consider D2D underlaid cellular networks and aim to minimize the total channel bandwidth while every user equipment (UE) needs to achieve a pre-determined target data rate. The optimization problem is jointly involved with matching a cellular UE (CU) to a D2D UE (DU), and with channel assignment and power control. The optimization problem is decoupled into two suboptimization problems to solve power control and channel assignment problems separately. For arbitrary matching of CU, DU, and channel, the minimum channel bandwidth of the shared channel is derived based on signal-to-interference-plus-noise ratio (SINR)-based power control. The channel assignment is a three-dimensional (3-D) integer programming problem (IPP) with a triple (CU, DU, channel). We apply Lagrangian relaxation, and then decompose the 3-D IPP into two two-dimensional (2-D) linear programming problems (LPPs). From intensive numerical results, the proposed resource allocation scheme outperforms the random selection and greedy schemes in terms of average channel bandwidth. We investigate the impact of various parameters, such as maximum D2D distance and the number of channels.

scholarly journals Joint Uplink and Downlink Resource Allocation for D2D Communications System

2019 ◽  
Vol 11 (1) ◽  
pp. 12 ◽  
Author(s):  
Xin Song ◽  
Xiuwei Han ◽  
Yue Ni ◽  
Li Dong ◽  
Lei Qin
Keyword(s):  
Resource Allocation ◽  
Channel Assignment ◽  
Optimization Problem ◽  
Spectrum Efficiency ◽  
System Capacity ◽  
Mixed Integer ◽  
Device To Device ◽  
Resource Allocation Scheme ◽  
Communications System ◽  
Better Than

In cellular networks, device-to-device communications can increase the spectrum efficiency, but some conventional schemes only consider uplink or downlink resource allocation. In this paper, we propose the joint uplink and downlink resource allocation scheme which maximizes the system capacity and guarantees the signal-to-noise-and-interference ratio of both cellular users and device-to-device pairs. The optimization problem is formulated as a mixed integer nonlinear problem that is usually NP hard. To achieve the reasonable resource allocation, the optimization problem is divided into two sub-problems including power allocation and channel assignment. It is proved that the objective function of power control is a convex function, in which the optimal transmission power can be obtained. The Hungarian algorithm is developed to achieve joint uplink and downlink channel assignment. The proposed scheme can improve the system capacity performance and increase the spectrum efficiency. Numerical results reveal that the performance of the proposed scheme of jointly uplink and downlink is better than that of the schemes for independent allocation.

scholarly journals Improving Streaming Capacity In Tree & Meshed Based P2P Live Streaming Systems

2021 ◽  
Author(s):  
Shujjat A. Khan
Keyword(s):  
Resource Allocation ◽  
Resource Sharing ◽  
Optimization Problem ◽  
Live Streaming ◽  
Resource Allocation Problem ◽  
Optimal Resource Allocation ◽  
P2p Streaming ◽  
P2p Live Streaming ◽  
Optimal Resource ◽  
Streaming Systems

The streaming capacity for a channel is defined as the maximum streaming rate that can be achieved by every user in the channel. In the thesis, we investigated the streaming capacity problem in both tree-based and mesh-based Peer-to-Peer (P2P) live streaming systems, respectively. In tree-based multi-channel P2P live streaming systems, we propose a crosschannel resource sharing approach to improve the streaming capacity. We use cross-channel helpers to establish the cross-channel overlay links, with which the unused upload bandwidths in a channel can be utilized to help the bandwidth-deficient peers in another channel, thus improving the streaming capacity. In meshed-based P2P live streaming systems, we propose a resource sharing approach to improve the streaming capacity. In mesh-based P2P streaming systems, each peer exchanges video chunks with a set of its neighbors. We formulate the streaming capacity problem into an optimal resource allocation problem. By solving the optimization problem, we can optimally allocate the link rates for each peer, thus improve the streaming capacity.

scholarly journals An SNR-Optimized Scanning Strategy for Geostationary Carbon Cycle Observatory (GeoCarb) Instrument

2018 ◽  
Author(s):  
Jeffrey Nivitanont ◽  
Sean Crowell
Keyword(s):  
Carbon Cycle ◽  
Greenhouse Gases ◽  
Optimization Problem ◽  
Signal To Noise Ratio ◽  
Western Hemisphere ◽  
Geostationary Orbit ◽  
Signal To Noise ◽  
Scanning Strategy ◽  
Land Mass ◽  
Error Distributions

Abstract. The Geostationary Carbon Observatory (GeoCarb) will make measurements of greenhouse gases over the land mass in the western hemisphere. The extreme flexibility of observing from geostationary orbit induces an optimization problem, as operators must choose what to observe and when. We express this problem in terms of an optimal subcovering problem, and use an Incremental Optimization (IO) algorithm to create a scanning strategy that minimizes expected error as a function of the signal-to-noise ratio (SNR), and show that this method outperforms the human selected strategy in terms of global error distributions.

PERFORMANCE ANALYSIS OF RESOURCE ALLOCATION TECHNIQUES FOR POWER CONTROL IN DEVICE-TO-DEVICE CELLULAR SYSTEMS

2020 ◽  
Vol 5 (2) ◽  
pp. 45-59
Author(s):  
I.A. Olaoluwa ◽  
M.A. Adedoyin ◽  
A.I.O. Yussuff
Keyword(s):  
Resource Allocation ◽  
Service Delivery ◽  
Power Control ◽  
Base Station ◽  
Cellular System ◽  
Cellular Systems ◽  
System Capacity ◽  
Control Technique ◽  
Device To Device ◽  
Allocation Strategies

Recent development in pairs of devices communications in the cellular system has necessitated the emergence of various resource allocation strategies for power control with the hope of achieving higher data rate, enhanced system capacity and overall spectral efficiency. Strategies for efficient service delivery in device-to-device (D2D) cellular system have often posed daunting challenges requiring uncompromising techniques. In this work, various techniques for resource allocation strategies for power control in D2D cellular system are investigated. This work is dedicated at the best technique of achieving maximum transmission power of users of cellular and the device pair users with reference to the efficient service delivery coupled with established signal-to-interference-plus-noise ratio (SINR) at the base station and the D2D users across the channel of the uplink because of the ability of the individual transmitter of devices have been able to realign with the power of transmitter relative to the calculated SINR and interference parameters. An expression of SINR, D2D pairs and the distance between device pairs with respect to base station for the optimized network for the various techniques are analyzed. The performance of the resource-based power control technique (RPCT) and the adaptive power control technique (APCT), with respect to the SINR and the device pairs, has shown effectiveness in its ability to address over forty-three pairs of D2D in order to have an improved level of SINR as obtained in this work, it is convenient to say that an increase in the number of cellular users, enables a corresponding increase in the total capacity of D2D users. When an increase is experienced in the number of users of cellular, it automatically adds a value of increase to the reusable channels thereby enabling additional quantity of D2D users in the clusters, such that co-channel interference within the D2D users in the neighboring cluster reduces, thereby enabling an increased capacity of the user of D2D.

scholarly journals Improving Streaming Capacity In Tree & Meshed Based P2P Live Streaming Systems

2021 ◽  
Author(s):  
Shujjat A. Khan
Keyword(s):  
Resource Allocation ◽  
Resource Sharing ◽  
Optimization Problem ◽  
Live Streaming ◽  
Resource Allocation Problem ◽  
Optimal Resource Allocation ◽  
P2p Streaming ◽  
P2p Live Streaming ◽  
Optimal Resource ◽  
Streaming Systems

The streaming capacity for a channel is defined as the maximum streaming rate that can be achieved by every user in the channel. In the thesis, we investigated the streaming capacity problem in both tree-based and mesh-based Peer-to-Peer (P2P) live streaming systems, respectively. In tree-based multi-channel P2P live streaming systems, we propose a crosschannel resource sharing approach to improve the streaming capacity. We use cross-channel helpers to establish the cross-channel overlay links, with which the unused upload bandwidths in a channel can be utilized to help the bandwidth-deficient peers in another channel, thus improving the streaming capacity. In meshed-based P2P live streaming systems, we propose a resource sharing approach to improve the streaming capacity. In mesh-based P2P streaming systems, each peer exchanges video chunks with a set of its neighbors. We formulate the streaming capacity problem into an optimal resource allocation problem. By solving the optimization problem, we can optimally allocate the link rates for each peer, thus improve the streaming capacity.

scholarly journals Increases of capacity of telecommunication system with МІМО

Connectivity ◽  
2020 ◽  
Vol 145 (3) ◽  
Author(s):  
K. O. Domracheva ◽  
◽  
A. V. Voloshenko ◽  
O. L. Zolkyn ◽  
R. M. Kyrychenko
Keyword(s):  
Transfer Rate ◽  
Information Transfer ◽  
Data Transfer ◽  
Signal To Noise Ratio ◽  
Radio Channel ◽  
System Capacity ◽  
Signal To Noise ◽  
Telecommunication System ◽  
Telecommunication Systems ◽  
Noise Ratio

The actual issue of increasing the data transfer rate in telecommunication systems with MIMO is considered. It is proposed to use an increase in the signal-to-noise ratio due to the processing and addition of signals from parallel antenna channels to increase the throughput of the system by applying quadrature amplitude manipulation. System simulation for MIMO 4x4. The error probability for QAM is calculated. A method is proposed that allows to increase by 4 times the information transfer rate while maintaining the signal duration and, accordingly, the bandwidth of the radio channel. According to the proposed methodology, telecommunication systems can be created with large numbers of multiposition amplitude-manipulated signals, as well as in combination with multiposition phase-shifted signals. It is shown that an increase in the signal-to-noise ratio when processing signals from parallel antenna channels cannot increase the system capacity, but only lead to a decrease in the signal reception error.

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