Power control based caching incentive mechanism for base-station assisted device-to-device networks

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 3

Author(s):

Gábor Fodor

Keyword(s):

Resource Allocation ◽

Power Control ◽

Large Scale ◽

Low Complexity ◽

Base Station ◽

Performance Comparison ◽

Superior Performance ◽

Channel Gain ◽

D2d Communications ◽

Device To Device

Device-to-device (D2D) communications in cellular spectrum have the potential of increasing the spectral and energy efficiency by taking advantage of the proximity and reuse gains. Although several resource allocation (RA) and power control (PC) schemes have been proposed in the literature, a comparison of the performance of such algorithms as a function of the available channel state information has not been reported. In this paper, we examine which large scale channel gain knowledge is needed by practically viable RA and PC schemes for network assisted D2D communications. To this end, we propose a novel near-optimal and low-complexity RA scheme that can be advantageously used in tandem with the optimal binary power control scheme and compare its performance with three heuristics-based RA schemes that are combined either with the well-known 3GPP Long-Term Evolution open-loop path loss compensating PC or with an iterative utility optimal PC scheme. When channel gain knowledge about the useful as well as interfering (cross) channels is available at the cellular base station, the near-optimal RA scheme, termed Matching, combined with the binary PC scheme is superior. Ultimately, we find that the proposed low-complexity RA + PC tandem that uses some cross-channel gain knowledge provides superior performance.

Download Full-text

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

Engineering and Technology Research Journal ◽

10.47545/etrj.2020.5.2.064 ◽

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.

Download Full-text

Interference Management using Power Control for Device-to-Device Communication in Future Cellular Network

Journal of Telecommunications and Information Technology ◽

10.26636/jtit.2018.125418 ◽

2018 ◽

Vol 3 ◽

pp. 31-36

Author(s):

Toha Ardi Nugraha ◽

Muhammad Putra Pamungkas ◽

Anna Nur Nazilah Chamim

Keyword(s):

Power Control ◽

Cellular Network ◽

Network Performance ◽

Power Level ◽

Interference Management ◽

Base Station ◽

Measured Signal ◽

Control Methods ◽

D2d Communications ◽

Device To Device

There are many scenarios that have been proposed for ﬁfth generation (5G) networks. Some of them, if implemented, will bring fundamental changes at the architectural and node level. One example of such proposed technologies is device-to-device (D2D) communications which will change the nature of conventional cellular network design. D2D permits direct communication between two or more user devices without intervention of the base station (i.e. eNB). D2D can ensure network performance improvement over the traditional cellular network, because it can oﬄoad the mobile data trafﬁc from the other devices. However, applying D2D features in a cellular network will bring about more complex interference problems, since D2D communication uses the same band as its underlying cellular communication network. The aim of this research is to investigate interference-related problems caused by D2D communications, aﬀecting the underlying cellular networks, during downlink and uplink transmissions. The paper examines the use of power control methods to mitigate interference. A comparison is oﬀered between ﬁxed power level (FC) with or without power control, and adaptive power controls using two methods (AC1 and AC2), on a base station or on each of the D2D devices, based on the measured signal to interference plus noise ratio (SINR). The simulation results show that both power control methods contribute to improvement of network performance. AC1 and AC2 can improve SINR by about 1 dB and 0.5 dB compared to FC in a downlink transmission, and by 0.5 dB in an uplink transmission.

Download Full-text

Study of Power Control in CDMA System on the basis of optimization Technique

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i8.38 ◽

2017 ◽

Vol 7 (8) ◽

pp. 126

Author(s):

. Geetanjli

Keyword(s):

Power Control ◽

Multiple Access ◽

Optimization Technique ◽

System Optimization ◽

Base Station ◽

Particle Swarm Algorithm ◽

Cdma System ◽

Frequency Division ◽

Cdma Systems ◽

Time Division

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.

Download Full-text