Wireless Communications Systems Design and Considerations

doi:10.1002/9781118759479.ch12

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Secondly, airspace conflict: assuming that the transmitter device sends signals with power

and the receiver device sensitivity is

, in the process of signal propagation, path loss

is generated, as shown in Equation ( 5 ) [ 19 ]:

where

represents the straight-line distance between the i-th device and the j-th device, and

. The spatial interference coefficient is defined to quantify spatial interference, as shown in Equation ( 6 ):

…”

Section: System Modelmentioning

confidence: 99%

Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the Space–Air–Ground Integrated Network

Meng

Liu

et al. 2022

Sensors

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The management and allocation of electromagnetic spectrum resources is the inner driving force of the construction of the space–air–ground integrated network. Existing spectrum allocation methods are difficult to adapt to the scenario where the working bandwidth of multi-service frequency-using devices is irregular and the working priorities are different. In this paper, an orthogonal genetic algorithm based on the idea of mixed niches is proposed to transform the problem of frequency allocation into the optimization problem of minimizing the electromagnetic interference between frequency-using devices in the integrated network. At the same time, a system model is constructed that takes the minimum interference effect of low-priority-to-high-priority devices as the objective function and takes the protection frequency and natural frequency as the constraint conditions. In this paper, we not only introduce the thought of niches to improve the diversity of the population but also use an orthogonal uniform crossover operator to improve the search efficiency. At the same time, we use a standard genetic algorithm and a micro genetic algorithm to optimize the model. The global searchability and local search precision of the proposed algorithm are all improved. Simulation results show that compared with the existing methods, the proposed algorithm has the advantages of fast convergence, strong stability and good optimization effect.

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“…Secondly, airspace conflict: assuming that the transmitter device sends signals with power

and the receiver device sensitivity is

, in the process of signal propagation, path loss

is generated, as shown in Equation ( 5 ) [ 19 ]:

where

represents the straight-line distance between the i-th device and the j-th device, and

. The spatial interference coefficient is defined to quantify spatial interference, as shown in Equation ( 6 ):

…”

Section: System Modelmentioning

confidence: 99%

Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the Space–Air–Ground Integrated Network

Meng

Liu

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Ibrahim & Parsons Model [2]. Two-Ray Ground Reflection Model [2,8]. CCIR Recommendation 370-4 Model [9].…”

Section: The Following Constraint Guarantees That Each Terminal Is Asmentioning

confidence: 99%

On novel efficient wireless access network design heuristic algorithms for QoS multiservice networks

Pasias¹,

Karras²,

Papademetriou

2017

2017 International Conference on Information and Digital Technologies (IDT)

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This paper presents two novel heuristic algorithms for the design of wireless access networks (QoS-HWNDA-1, QoS-HWNDA-2) adapted in the case of QoS networks, which is the prevalent situation in the evolution of 5G technology. Emphasis was given to the design of CDMA based wireless networks and Fixed Wireless networks considering QoS architectures. The objectives of these methods are first to place a number of access points/base stations in a number of candidate sites and then to assign a number of fixed wireless terminals to the selected access points/base stations, while ensuring QoS requirements. Both methods are based on Graph Theory and they are essentially greedy algorithms. Except from capacity constraints, wireless reception characteristics are also considered. The algorithms are capable of designing medium and large-scale networks at polynomial time. Both algorithms were compared with a rival optimization problem through a series of tests. The results indicate that as regards design costs the performance of the proposed heuristic algorithms is very close to this of the equivalent optimization problem. The solution times for the proposed heuristic algorithms are smaller especially when the number of the candidate access points/base stations becomes large.

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Completion time minimization for UAV enabled data collection with communication link constrained

Guo

Zhang

et al. 2022

IET Communications

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This paper studies unmanned aerial vehicles (UAV) enabled industrial Internet of Things while a UAV dispatched to collect data of low‐power ground sensor nodes (SNs) in multi‐obstacle environment. The authors aim to minimize the completion time while satisfying the communication link constraints of each SN and obstacle avoidance, data collection requirements etc. To this end, the authors first formulate the completion time minimization problem by jointly optimizing the UAV trajectory and collection sequence of SNs. The problem is difficult to be optimally solved, as it is non‐convex. To tackle this problem, the authors first transform the original problem to a Traveling Salesman Problem‐like (TSP‐like) problem based on a hover point that can naturally satisfy the communication link constraints of data collection. The dynamic programming (DP) algorithm to figure out the order in which the UAV collects each SN, which gives the initial path of the UAV traversing each SN from the beginning point to the end point. Next, the authors consider the general scenarios of data collection tasks where the UAV also communicates while flying. The authors construct an equivalent problem with integer variable constraints for the original problem with indicative function constraints. The authors rewrite the non‐convex constraints of the equal problem by introducing slack variables and leveraging the SCA, and add the discrete region threat constraints for the traditional path discretization method. Finally, the simulation results verify the effectiveness of the proposed algorithm under different parameter configurations.

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Wireless Communications Systems Design and Considerations

Cited by 4 publications

References 11 publications

Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the Space–Air–Ground Integrated Network

Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the Space–Air–Ground Integrated Network

On novel efficient wireless access network design heuristic algorithms for QoS multiservice networks

Completion time minimization for UAV enabled data collection with communication link constrained

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