scholarly journals E2CA‐SM: an energy‐efficient channel allocation with sleep mode for base station in fifth‐generation‐based cellular network systems

IET Networks ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 74-82
Author(s):  
Parimala Venkata Krishna ◽  
Vankadara Saritha ◽  
Mohammad Salameh Obaidat
Keyword(s):  
Energy Efficient ◽  
Cellular Network ◽  
Channel Allocation ◽  
Base Station ◽  
Sleep Mode ◽  
Network Systems ◽  
Fifth Generation

scholarly journals Grant-Free Resource Allocation for NOMA V2X Uplink Systems Using a Genetic Algorithm Approach

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1111
Author(s):  
Sol Lee ◽  
Jeehyeong Kim ◽  
Joohan Park ◽  
Sunghyun Cho
Keyword(s):  
Genetic Algorithm ◽  
Vehicular Networks ◽  
Optimization Problems ◽  
Channel Allocation ◽  
Heuristic Method ◽  
Base Station ◽  
Network Systems ◽  
Communication Latency ◽  
The Road ◽  
Novel Concept

While NOMA-V2V (non-orthogonal multiple accesscan-vehicle-to-vehicle) effectively achieve massive connectivity requirements in 5G network systems, minimizing communication latency is a very crucial challenge. To address the latency problem, we propose a channel allocation method called hyper-fraction, which divides the road into many zones and allocates a channel to each zone. Then, a vehicle located within the corresponding zone uses the channel allocated to the zone. Hyper-fraction will allow the system to minimize communication latency between a user equipment (UE) and a base station (BS) caused by scheduling processes and consequentially reduce the overall latency of the system. In the simulation, a novel concept of genetic algorithm (GA) is utilized, called GA with continuous pool. It is an approach to enable conventional GA to solve optimization problems for continuous situations within much less computation, especially in situations where the elements in the system keep moving such as vehicular networks. As a result, GA with continuous pool is proven to be an effective heuristic method to improve throughput rate, as well as hyper-fraction improving the latency of NOMA V2V and vehicle-to-infrastructure (V2I) systems.

OPTIMIZATION OF CHANNEL ALLOCATION ALGORITHM FOR HOT SPOT CELLS IN WIRELESS NETWORKS

2012 ◽  
Vol 3 (2) ◽  
pp. 238-241
Author(s):  
Kriti Saraswat ◽  
Ajit Kumar Shrivastava ◽  
Amit Saxena
Keyword(s):  
Wireless Networks ◽  
Cellular Networks ◽  
Hot Spots ◽  
Cellular Network ◽  
Channel Allocation ◽  
Hot Spot ◽  
Hybrid Approach ◽  
Base Station ◽  
Allocation Scheme ◽  
Versus System

Dense deployment of cellular networks is leading to scarcity of communication bandwidth or what we call as channel. If compared to its wired counterparts, wireless cellular network have limited number of channels available, which gives rise to problem of efficient channel allocation. Here, in this piece of work, the main objective is to put an effort to improve existing channel allocation scheme. In earlier existing hybrid allocation scheme, the base station notifies about the hot-spots to the Mobile Switching Centre (MSC) and if MSC has available channels in its central pool then it satisfies the request. Now, the novelty of this work starts where central pool gets exhausted and request of channels from base station (BS) still arrives and is served by returning the unused channels by different cells back to MSC on its request. The simulation of this approach is expounded and evaluated over OMNeT++ in a scenario with fixed channel allocation and hybrid approach by varying the proportion of dynamic channels to total number of channels available and the effectiveness is evaluated in terms of Call blocked and Call dropped versus System load.

scholarly journals Improvement of the Handover Performance and Channel Allocation Scheme using Fuzzy Logic, Artificial Neural Network and Neuro-Fuzzy System to Reduce Call Drop in Cellular Network

2020 ◽  
Vol 01 (04) ◽  
pp. 130-138
Author(s):  
Md. Ariful Islam ◽  
Md. Rakib Hasan ◽  
Amena Begum
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Fuzzy System ◽  
Cellular Network ◽  
Channel Allocation ◽  
Base Station ◽  
Utilization Efficiency ◽  
Signal Quality ◽  
Decision Algorithm ◽  
Neuro Fuzzy

Due to handover failure, call drop occurs frequently. When a large number of incoming and handoff calls arrive at the same time, the performance of the conventional handoff algorithms may fall down. Moreover, multiple factors such as signal quality and available channels of cellular network can’t be evaluated in conventional algorithms. When mobile station (MS) moves, the connection of MS with nearby base station (BS) has to be switched from one to adjacent station. In this case, unnecessary handoffs will be occurred due to lack of proper decision of handoffs or lack of consideration about signal quality with available free channels. As a result call drop will occur frequently. For performing handoff efficiently, fuzzy logic based handoff decision algorithm, adaptive handoff threshold level using neural network and priority based dynamic channel allocation algorithm using neuro-fuzzy system has been proposed in this work. These algorithms will mainly focus on the proper decision of handoff based on evaluating signal strength, available free channels, spectrum efficiency, MS speed and distance from BS so that unnecessary and inefficient handoffs can’t be performed. Simulation revealed that using neuro-fuzzy system, the channel capacity, SIR and Handoff management were improved better than the others in terms of spectrum utilization efficiency, MS speed and SIR. The efficacy of the methodology has been proved by imitating the proposed model using MATLAB software.

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