Fairness Resource Allocation for Parallel Multi-Radio Access in Cognitive Multi-Cell

Zhou, Yuchen; Chen, Jian; Kuo, Yan-Fu

doi:10.1007/s11277-016-3180-5

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…Each user has a bandwidth of 1 MHz [19]. The wireless channels between transmitters and receivers suffer from independent block fading and have a path loss exponent

\alpha = 3

[38, 39]. The number of multipaths is 10 [39].…”

Section: Resultsmentioning

confidence: 99%

Resource allocation and energy trading in the short blocklength regime for radio access networks

Cao,

Zhou,

Chen

et al. 2023

IET Communications

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With the large‐scale deployment of communication and computation units, the conventional radio access network has been gradually transformed into a sophisticated Cyber‐Physical System. Since the access network is put forward higher expectations for ultra‐reliable and low‐latency services, Short‐Packet Communications (SPC) based on Finite Blocklength Codes can be adopted to further decrease network latency and enhance communication reliability. Considering the interaction among the service provider, the network operator, and users, a three‐stage Stackelberg game is constructed to dynamically arrange communication and computation resources. In this paper, the tripartite interaction problem is modelled as a generalized Nash equilibrium problem, and the reverse induction method is employed to achieve the sub‐game equilibrium. To solve the problem of maximizing tripartite utilities, the authors propose an iterative algorithm for jointly managing resource allocation and tripartite pricing. Simulation results show that compared with the benchmark, the proposed scheme can effectively improve the utilities of users, the service provider, and the network operator and achieve a win–win situation.

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“…Each user has a bandwidth of 1 MHz [19]. The wireless channels between transmitters and receivers suffer from independent block fading and have a path loss exponent

\alpha = 3

[38, 39]. The number of multipaths is 10 [39].…”

Section: Resultsmentioning

confidence: 99%

Resource allocation and energy trading in the short blocklength regime for radio access networks

Cao,

Zhou,

Chen

et al. 2023

IET Communications

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“…Zhan et al [9] designed an algorithm that not only mined opinion from customs reviews but also automatically pointed out the salient topics from these opinions, which can make the analysis more targeted. Zhou et al [10] did the research to transfer customs' reviews into answers of a questionnaire generated by the algorithm automatically and analyzed the collected data to point out what were the main points to improve user's experience. Not only there are research studies focusing on objects, but also several others that try to focus on people.…”

Section: Related Workmentioning

confidence: 99%

Analysis of College Students’ Public Opinion Based on Machine Learning and Evolutionary Algorithm

Zhang

2019

Complexity

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The recent information explosion may have many negative impacts on college students, such as distraction from learning and addiction to meaningless and fake news. To avoid these phenomena, it is necessary to verify the students’ state of mind and give them appropriate guidance. However, many peculiarities, including subject focused, multiaspect, and low consistency on different samples’ interests, bring great challenges while leveraging the mainstream opinion mining method. To solve this problem, this paper proposes a new way by using a questionnaire which covers most aspects of a student’s life to collect comprehensive information and feed the information into a neural network. With reliable prediction on students’ state of mind and awareness of feature importance, colleges can give students guidance associated with their own experience and make macroscopic policies more effective. A pipeline is proposed to relieve overfitting during the collected information training. First, the singular value decomposition is used in pretreatment of data set which includes outlier detection and dimension reduction. Then, the genetic algorithm is introduced in the training process to find the proper initial parameters of network, and in this way, it can prevent the network from falling into the local minimum. A method of calculating the importance of students’ features is also proposed. The experiment result shows that the new pipeline works well, and the predictor has high accuracy on predicting fresh samples. The design procedure and the prediction design will provide suggestions to deal with students’ state of mind and the college’s public opinion.

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“…It was shown that such multi radio transmit diversity can provide over 100% throughput gain to cell edge users with significant energy efficiency improvements. A multi-radio resource management for the parallel multiradio access technology in a cognitive multi-cell is considered by Zhou et al [22]. For secondary users, authors proposed a proportional fairness based interference management (with primary users) while satisfying the resource constraints caused by multi-radio access.…”

Section: Introductionmentioning

confidence: 99%

“…A multi-radio resource management for the parallel multiradio access technology in a cognitive multi-cell is considered by Zhou et al [22]. For secondary users, authors proposed a proportional fairness based interference management (with primary users) while satisfying the resource constraints caused by multi-radio access.…”

Section: Introductionmentioning

confidence: 99%

On the packet allocation of multi-band aggregation wireless networks

Goyal

Chincholi

et al. 2017

Wireless Netw

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Abstract-The use of heterogeneous networks with multiple radio access technologies (RATs) is a system concept that both academia and industry are studying. In such system, integrated use of available multiple RATs is essential to achieve beyond additive throughput and connectivity gains using multi-dimensional diversity. This paper considers an aggregation module called opportunistic multi-MAC aggregation (OMMA). It resides between the IP layer and the air interface protocol stacks, common to all RATs in the device. We present a theoretical framework for such system while considering a special case of multi-RAT systems, i.e., a multi-band wireless LAN (WLAN) system. An optimal packet distribution approach is derived which minimizes the average packet latency (the sum of queueing delay and serving delay) over multiple bands. It supports multiple user terminals with different QoS classes simultaneously. We further propose a packet scheduling algorithm, OMMA Leaky Bucket, which minimizes the packet end-to-end delay, i.e., the sum of average packet latency and average packet reordering delay. We also describe the system architecture of the proposed OMMA system, which is applicable for the general case of the multi-RAT devices. It includes functional description, discovery and association processes, and dynamic RAT update management. We finally present simulation results for a multi-band WLAN system. It shows the performance gains of the proposed OMMA Leaky Bucket scheme in comparison to other existing packet scheduling mechanisms.

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Fairness Resource Allocation for Parallel Multi-Radio Access in Cognitive Multi-Cell

Cited by 4 publications

References 22 publications

Resource allocation and energy trading in the short blocklength regime for radio access networks

Resource allocation and energy trading in the short blocklength regime for radio access networks

Analysis of College Students’ Public Opinion Based on Machine Learning and Evolutionary Algorithm

On the packet allocation of multi-band aggregation wireless networks

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