Sub-channel assignment and power allocation in OFDMA-NOMA based heterogeneous cellular networks

Hadi, Majid; Ghazizadeh, Reza

doi:10.1016/j.aeue.2020.153195

Cited by 10 publications

(1 citation statement)

References 25 publications

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“…At that point, for joint DL and UL NOMA, we hypothetically infer the NOMA predominant condition for every individual client Constant parameters in a two-client NOMA group. The NOMA predominant condition refers to a condition under which the spectral efficiency gains of NOMA are ensured, in contrast with orthogonal frequency division multiple access (OFDMA) [22]. By and large, NOMA permits the superposition of definite message signals of clients within a NOMA group.…”

Section: Proposed Methodsmentioning

confidence: 99%

Modified PSO Based Channel Allocation Scheme for Interference Management in 5G Wireless Mesh Networks

Benni¹,

Manvi²

2022

JTIT

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Efficient channel management is a challenge that next-generation wireless networks need to meet in order to satisfy increasing bandwidth demand and transmission rate requirements. Non-orthogonal multiple access (NOMA) is one of such efficient channel allocation methods used in 5G backhaul wireless mesh networks. In this paper, we propose a power demand-based channel allocation method for 5G backhaul wireless mesh networks by employing NOMA and considering traffic demands in small cells, thereby improving channel utility. In this scheme, we work with physical layer transmission. The foremost aim is to mutually optimize the uplink/downlink NOMA channel assignment in order to increase user fairness. The approach concerned may be divided into two steps. First, initial channel allocation is performed by employing the traveling salesman problem (TSP), due to its similarity to many-to-many double-side user-channel allocation. Second, the modified particle swarm optimization (PSO) method is applied for allocation updates, by introducing a decreasing coefficient which may have the form of a standard stochastic estimate algorithm. To enhance exploration capacity of modified the PSO, a random velocity is included to optimize the convergence rate and exploration behavior. The performance of the designed scheme is estimated through simulation, taking into account such parameters as through put, spectral efficiency, sum-rate, outage probability, signal to-interference plus noise ratio (SINR), and fairness. The proposed scheme maximizes network capacity and improves fairness between the individual stations. Experimental results show that the proposed technique performs better than existing solutions.

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Section: Proposed Methodsmentioning

confidence: 99%

Modified PSO Based Channel Allocation Scheme for Interference Management in 5G Wireless Mesh Networks

Benni¹,

Manvi²

2022

JTIT

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Optimizing the stochastic deployment of small base stations in an interleave division multiple access‐based heterogeneous cellular networks

Noma‐Osaghae

Misra

Koyuncu

2022

Int J Communication

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The use of small base stations (SBSs) to improve the throughput of cellular networks gave rise to the advent of heterogeneous cellular networks (HCNs). Still, the interleave division multiple access (IDMA) performance in sleep mode active HCNs has not been studied in the existing literature.This research examines the 24-h throughput, spectral efficiency (SE), and energy efficiency (EE) of an IDMA-based HCN and compares the result with orthogonal frequency division multiple access (OFDMA). An energyspectral-efficiency (ESE) model of a two-tier HCN was developed. A weighted sum modified particle swarm optimization (PSO) algorithm simultaneously maximized the SE and EE of the IDMA-based HCN. The result obtained showed that the IDMA performs at least 68% better than the OFDMA on the throughput metric. The result also showed that the particle swarm optimization algorithm produced the Pareto optimal front at moderate traffic levels for all varied network parameters of SINR threshold, SBS density, and sleep mode technique. The IDMA-based HCN can improve the throughput, SE, and EE via sleep mode techniques. Still, the combination of network parameters that simultaneously maximize the SE and EE is interference limited. In sleep mode, the performance of the HCN is better if the SBSs can adapt to spatial and temporal variations in network traffic.

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Power allocation method based on modified social network search algorithm

Gao,

Li,

Lin

et al. 2024

Appl Intell

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Sub-channel assignment and power allocation in OFDMA-NOMA based heterogeneous cellular networks

Cited by 10 publications

References 25 publications

Modified PSO Based Channel Allocation Scheme for Interference Management in 5G Wireless Mesh Networks

Modified PSO Based Channel Allocation Scheme for Interference Management in 5G Wireless Mesh Networks

Optimizing the stochastic deployment of small base stations in an interleave division multiple access‐based heterogeneous cellular networks

Power allocation method based on modified social network search algorithm

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