Joint Optimization of Energy Efficiency and Scheduling Strategies for Side-Link Relay System

Shrivastava, Vinay Kumar; Makhija, Piyush; Raj, Rohan

doi:10.1109/wcnc.2017.7925661

Cited by 9 publications

(5 citation statements)

References 4 publications

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“…In a simulation, each UE is connected to a general traffic, receiving data packets connected to three applications/flows containing two GBR and one non-GBR applications similar to [9]. To compare our simulation results we have considered different scheduling schemes, that are first-come-first-serve (FCFS) [26], PF [27], Modified largest Weighted Delay First (MLWDF) [28] and Serving-Ratio (SR) [29]. In order to check the effectiveness of our scheme, we under-load and over-load the network while varying the number of UEs from 200 to 1000.…”

Section: Simulation Resultsmentioning

confidence: 99%

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Sharma,

Liang,

2024

IEEE Access

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5G Heterogeneous Network (HetNet) allows User Equipment (UEs) massive connections and various applications, which results in an exponential increase in the data traffic. This leads to massive overloading at co-tier and inter-tier levels, UE power inefficiency at the cell edge, and complexing Quality of Service (QoS) support. In this paper, we propose a scheme to solve the load balancing among Base Stations (BSs) while, enhancing power efficiency and guaranteeing QoS of UEs. The proposed heuristic scheme consists of three phases. The first phase addresses the UE's Discontinuous Reception (DRX) configuration parameters, the second phase evaluates overloading, and the third phase offloads the data from the overloaded BS to other BS. We have categorized the performance indicators, 1) User performance parameters (UPP) such as DRX power saving, packet drop rate, and end-to-end delay, 2) Network Performance Parameters (NPP) such as throughput. To validate, we design an analytical model based on a two-dimensional continuous-time Markov chain (2D-CTMC) and semi-Markov, and a simulator that validates the scheme performance. The results show that the proposed scheme enhances the performance in terms of UPP and the NPP. INDEX TERMS Heterogeneous Network (HetNet), Discontinuous Reception/Transmission (DRX/DTX), load balancing, Quality of Service (QoS), continuous-time Markov chain (CTMC), semi-Markov I. INTRODUCTION 1 This article has been accepted for publication in IEEE Access.

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Section: Simulation Resultsmentioning

confidence: 99%

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Sharma,

Liang,

2024

IEEE Access

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“…The traditional GWO uses Equation (8) as the formula for wolf position update, but the effect is not good. The [ 24 ] proposed two methods to improve the position update formula by increasing the weights.

…”

Section: Improved Gwo Algorithmmentioning

confidence: 99%

Improved Grey Wolf Optimization Algorithm and Application

Hou

Gao

Wang

et al. 2022

Sensors

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This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots. We improved chaotic tent mapping to initialize the wolves to enhance the global search ability and used a nonlinear convergence factor based on the Gaussian distribution change curve to balance the global and local searchability. In addition, an improved dynamic proportional weighting strategy is proposed that can update the positions of grey wolves so that the convergence of this algorithm can be accelerated. The proposed improved GWO algorithm results are compared with the other eight algorithms through several benchmark function test experiments and path planning experiments. The experimental results show that the improved GWO has higher accuracy and faster convergence speed.

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“…In [22], the authors study scheduling strategies in the absence of channel state information (CSI). A strategy for joint optimization of scheduling and power control for sidelink (which includes V2V) is presented in [23]. To improve connectivity among VUEs, a scheduling strategy based on inter-VUE distances and mobility is proposed in [24], which can reduce the access delay.…”

Section: B State Of the Artmentioning

confidence: 99%

“…Indeed, it is easily checked that if we minimize V i,k,r,t subject to (23), then the solution is given by (22). We will see later that solver of the modified problem strives to minimize V i,k,r,t .…”

Section: A Preliminariesmentioning

confidence: 99%

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Adjacent Channel Interference Aware Joint Scheduling and Power Control for V2V Broadcast Communication

Hisham¹,

Yuan

Ström

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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This paper proposes scheduling and power control schemes to mitigate the impact of both co-channel interference (CCI) and adjacent channel interference (ACI) on direct vehicleto-vehicle broadcast communication. The objective is to maximize the number of vehicles that can communicate with the prescribed requirement on latency and reliability. The joint scheduling and power control problem is formulated as a mixed Boolean linear programming (MBLP) problem. A column generation method is proposed to reduce the computational complexity of the joint problem. From the joint problem, we formulate a schedulingalone problem (given a power allocation) as a Boolean linear programming (BLP) problem and a power control-alone problem (given a schedule) as an MBLP problem. The scheduling problem is numerically sensitive due to the high dynamic range of channel values and adjacent channel interference ratio (ACIR) values. Therefore, a novel sensitivity reduction technique, which can compute a numerically stable optimal solution at the price of increased computational complexity, is proposed. Numerical results show that ACI, just as CCI, is a serious problem in direct vehicle-to-vehicle (V2V) communication due to near-far situations and hence should not be ignored, and its impact can be reduced by proper scheduling and power control. I. INTRODUCTION A. MotivationV2V communication can reduce traffic accidents significantly by broadcasting up-to-date local and emergency informations to nearby vehicles. To this end, both periodic and event-driven messages are conveyed. Periodic messages are transmitted by all vehicular user equipments (VUEs) in order to convey its current status to neighbors such as position, velocity and acceleration, whereas event-driven messages are sent when any emergency situation has been detected. However, conveying such safety related messages requires the establishment of highly reliable, low latency broadcast communication links between VUEs.

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Joint Optimization of Energy Efficiency and Scheduling Strategies for Side-Link Relay System

Cited by 9 publications

References 4 publications

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Discontinuous Reception Based Energy-Efficient User Association for 5G Heterogeneous Networks

Improved Grey Wolf Optimization Algorithm and Application

Adjacent Channel Interference Aware Joint Scheduling and Power Control for V2V Broadcast Communication

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