Power Optimization in 5G Networks: A Step Towards GrEEn Communication

Abrol, Akshita; Jha, Rakesh Kumar

doi:10.1109/access.2016.2549641

Cited by 172 publications

(104 citation statements)

References 87 publications

Supporting

Mentioning

104

Contrasting

Order By: Relevance

“…In such cases, if the transmit power level is set to a constant during the frame time, the fast channel fluctuations during that time will lead to poor outage performance. Optimizing transmit power is crucial for future green wireless networks (Abrol & Jha and Mowla et al). In the presented work, we evaluate the performance of randomized transmit power allocation in fading channels with very slow feedback.…”

Section: Introductionmentioning

confidence: 99%

Transmit power randomization for wireless ad hoc green networks

Tarhuni

2020

Int J Communication

View full text Add to dashboard Cite

Summary Future green technologies require the reduction of power consumptions, increasing energy efficiencies, and managing the electromagnetic interference footprints. In this paper, we investigate the use of randomized transmit power strategy in which the nodes transmit with random power in a single‐hop ad hoc wireless network. We assume Nakagami‐m channel with very slow feedback channel for power update commands. Hence, by using the characteristic function of the received power, we develop a new mathematical formulation for the outage probability. Further, we test the developed formulation on the known constant transmit power case and randomized uniform distribution with constant maximum case. We show that the performance in terms of outage probabilities and total power consumption of all nodes is generally poor. Therefore, we extend our results to the case of optimized constant power and propose the use of randomized uniform distribution with optimized maximum power. We show that the proposed power distribution outperforms the previous ones and reduces the overall power consumption by many orders of magnitude.

show abstract

Section: Introductionmentioning

confidence: 99%

Transmit power randomization for wireless ad hoc green networks

Tarhuni

2020

Int J Communication

View full text Add to dashboard Cite

show abstract

“…With the increasing desire to have green communications in the recent years, reducing energy consumption has become the prime concern for researchers, and the fifth generation (5G) systems have also targeted energy efficiency as one of the major milestones to achieve [26]. Although the minimization of used power reported in [27] could be one of the objectives of energy-efficient transmissions, the resultant solution of such a type of formulation is not spectrumefficient.…”

Section: Introductionmentioning

confidence: 99%

Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems

Ruby

Zhong

et al. 2019

Computer Communications

View full text Add to dashboard Cite

Non-orthogonal multiple access (NOMA) technique has the ability to support multiple transmissions simultaneously using the same physical resource, the idea of which achieves much enhanced performance for a system compared to the conventional orthogonal multiple access (OMA) techniques. Despite numerous advantages, this phenomenon of NOMA technique can bring additional interference for the neighboring ultra-dense networks if the power consumption of the system is not properly optimized. While targeting on the green communication concept, in this paper, we propose an energy-efficient downlink resource allocation scheme for a NOMA-equipped cellular network. The objective of this work is to allocate subchannels and power of the base station among the users so that the overall energy efficiency is maximized. Since this problem is NP-hard, we attempt to find an elegant solution with reasonable complexity that provides good performance for some realistic applications. To this end, we decompose the problem into a subchannel allocation subproblem followed by a power loading subproblem that allocates power to each user's data stream on each of its allocated subchannels. We first employ a many-to-many matching model under the assumption of uniform power loading in order to obtain the solution of the first subproblem with reasonable performance. Once the the subchanneluser mapping information is known from the first solution, we propose a geometric programming (GP)-based power loading scheme upon approximating the energy efficiency of the system by a ratio of two posynomials. The techniques adopted for these subproblems better exploit the available multi-user diversity compared to the techniques used in an earlier work. Having observed the computational overhead of the GP-based power loading scheme, we also propose a suboptimal computationally-efficient algorithm for the power loading subproblem with a polynomial time complexity that provides reasonably good performance. Extensive simulation has been conducted to verify that our proposed solution schemes always outperform the existing work while consuming much less power at the base station.

show abstract

“…Nonetheless, EE of cellular networks has now become a decisive criterion. To take EE into consideration, especially in future cellular networks, a systematic change in devising wireless protocols and architectures, efficient redesigning of base stations (BSs), smart networks, cognitive radio and opportunistic network access, and use of relays and heterogeneous networks have been proposed [1] [2].…”

Section: Introductionmentioning

confidence: 99%

A Tlbo-Based Energy Efficient Base Station Switch Off and User Subcarrier Allocation Algorithm for Ofdma Cellular Networks

Davarpanah¹,

Zamani²,

Eslami³

et al. 2018

IJCT

View full text Add to dashboard Cite

Downlink of a cellular network with orthogonal frequency-division multiple access (OFDMA) is considered. Joint base station switch OFF and user subcarrier-allocation with guaranteed user quality of service, is shown to be a promising approach for reducing network's total power consumption. However, solving the aforementioned mix-integer and nonlinear optimization problem requires robust and powerful optimization techniques. In this paper, teaching-learning based optimization algorithm has been adopted to lower cellular network's total power consumption. The results show that the proposed technique is able to reduce network's total power consumption by determining a near optimum set of base stations to be switched OFF and near optimum subcarrier-user assignments. It is shown that the proposed scheme is superior to existing base station switch OFF schemes. Robustness of the proposed TLBO-based technique is verified.

show abstract

Power Optimization in 5G Networks: A Step Towards GrEEn Communication

Cited by 172 publications

References 87 publications

Transmit power randomization for wireless ad hoc green networks

Transmit power randomization for wireless ad hoc green networks

Enhanced energy-efficient downlink resource allocation in green non-orthogonal multiple access systems

A Tlbo-Based Energy Efficient Base Station Switch Off and User Subcarrier Allocation Algorithm for Ofdma Cellular Networks

Contact Info

Product

Resources

About