Resource Allocation for Uplink SCMA NOMA in Heterogeneous Networks

Chege, Simon; Walingo, Tom

doi:10.1109/africon46755.2019.9133742

Cited by 2 publications

(7 citation statements)

References 22 publications

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“…The simulation results showed the improvements in the sum rate and link-level performance of the presented resource allocation algorithm for the UL CB-based NOMA-HetNet system. 35…”

Section: A Survey Of Recent Advances Of Noma In Hetnetsmentioning

confidence: 99%

“…Simon and Walingo 35 came up with a novel idea and investigated and developed a codebook (CB) resource assignment to SUEs and MUEs in a UL HetNets system to achieve an optimal sum rate. It involved the grouping of SUEs and MUEs in different clusters with varying power levels and the formulation of the system as a sum-rate maximization CB assignment problem in the underlying small cells.…”

Section: A Survey Of Recent Advances Of Noma In Hetnetsmentioning

confidence: 99%

“…The simulation results showed the improvements in the sum rate and link-level performance of the presented resource allocation algorithm for the UL CB-based NOMA-HetNet system. 35 Recently, Baidas 36 also studied the problem of joint relay assignment and EE maximization in UL NOMA-HetNets. The authors mainly aimed at devising a joint optimization technique of user pairing to maximize EE over each relay through multi-objective optimization to satisfy the users' QoS constraints.…”

Section: A Survey Of Recent Advances Of Noma In Hetnetsmentioning

confidence: 99%

“…Achieved maximum EE and throughput through APSO algorithm. Also, the ACO provided a greater fairness index Qian et al 34 Employed primal decomposition theory and game theory for user grouping Mitigated the co-channel interference in small cells network Simon and Walingo 35 Developed a CB resource assignment to SUEs and MUEs in a UL HetNet system for optimum attainable sum rate…”

Section: Key Metrics For Performance Evaluationmentioning

confidence: 99%

See 3 more Smart Citations

Uplink non-orthogonal multiple access in heterogeneous networks: A review of recent advances and open research challenges

Rehman

Babar

Ahmad³

et al. 2022

International Journal of Distributed Sensor Networks

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Fifth-generation wireless communications provide several benefits, including high throughput, lower latency, massive connectivity, considerable improvement in the number of users, higher base station capacity, and achieved quality of service. Non-orthogonal multiple access, an effective approach for sharing the same radio resources, has been highlighted as a viable technology in the fifth-generation wireless networks to achieve the demands of available bandwidth, user connectivity, and application latency. Non-orthogonal multiple access and heterogeneous networks have recently emerged as promising network infrastructures for enhancing the spectrum capacity and accommodating more users by sharing the same resources with high throughput. This potential capability has made the non-orthogonal multiple access–enabled heterogeneous networks a new research topic in the modern era. In this survey, the concept of non-orthogonal multiple access and its significance in different emerging technologies has been well explored. Furthermore, this survey covers a systematic overview of the state-of the-art techniques based on non-orthogonal multiple access–enabled heterogeneous networks and devising taxonomy for uplink non-orthogonal multiple access–enabled heterogeneous networks. In addition, this survey provides critical insights and identifies several open research challenges considering the uplink non-orthogonal multiple access–enabled heterogeneous networks.

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“…The simulation results showed the improvements in the sum rate and link-level performance of the presented resource allocation algorithm for the UL CB-based NOMA-HetNet system. 35…”

Section: A Survey Of Recent Advances Of Noma In Hetnetsmentioning

confidence: 99%

Section: A Survey Of Recent Advances Of Noma In Hetnetsmentioning

confidence: 99%

Section: A Survey Of Recent Advances Of Noma In Hetnetsmentioning

confidence: 99%

Section: Key Metrics For Performance Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Uplink non-orthogonal multiple access in heterogeneous networks: A review of recent advances and open research challenges

Rehman

Babar

Ahmad³

et al. 2022

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…The power-domain NOMAs achieve superior performance with taking advantage of the terminal locations where the one terminal is far from the other terminal near by the base station, even though the complexity of the system is fairly small. While the power-domain NOMAs degrade in the situation where the terminals are located at similar distance from the base station, resource allocation techniques have been investigated [12], [13]. SCMAs and LDSs achieve superior performance even in the situation.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Resource Allocation Based on Factor Graphs in Non-Orthogonal Multiple Access

Yamagami

Denno

Hou

2022

IEICE Trans. Commun.

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In this paper, we propose a non-orthogonal multiple access with adaptive resource allocation. The proposed non-orthogonal multiple access assigns multiple frequency resources for each device to send packets. Even if the number of devices is more than that of the available frequency resources, the proposed non-orthogonal access allows all the devices to transmit their packets simultaneously for high capacity massive machine-type communications (mMTC). Furthermore, this paper proposes adaptive resource allocation algorithms based on factor graphs that adaptively allocate the frequency resources to the devices for improvement of the transmission performances. This paper proposes two allocation algorithms for the proposed non-orthogonal multiple access. This paper shows that the proposed non-orthogonal multiple access achieves superior transmission performance when the number of the devices is 50% greater than the amount of the resource, i.e., the overloading ratio of 1.5, even without the adaptive resource allocation. The adaptive resource allocation enables the proposed non-orthogonal access to attain a gain of about 5 dB at the BER of 10 −4 .

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Resource Allocation for Uplink SCMA NOMA in Heterogeneous Networks

Cited by 2 publications

References 22 publications

Uplink non-orthogonal multiple access in heterogeneous networks: A review of recent advances and open research challenges

Uplink non-orthogonal multiple access in heterogeneous networks: A review of recent advances and open research challenges

Adaptive Resource Allocation Based on Factor Graphs in Non-Orthogonal Multiple Access

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