A socio-inspired CALM approach to channel assignment performance prediction and WMN capacity estimation

Kala, Srikant Manas; Sathya, Vanlin; Reddy, M Pavan Kumar; Lala, Betty; Tamma, Bheemarjuna Reddy

doi:10.1016/j.jnca.2018.10.002

Cited by 9 publications

(8 citation statements)

References 49 publications

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“…5G LTE, which operates in the licensed band and 802.11 wireless LAN (Wi-Fi) [109,37], which operates in an unlicensed band, has some fundamental structural differences. In Wi-Fi 5 GHz, there are more spectrum available for the operators to boost the performance of the end customers as shown in Fig.…”

Section: Macromentioning

confidence: 99%

“…Studies have shown using NI USRP based experiments that a huge proportion of Wi-Fi beacons are neither transmitted in a timely manner nor are they received at the LTE-U BS [32,33]. An innovative Carrier Sense Adaptive Transmission (CSAT) approach was proposed in [52,53,54] that aims to solve the challenges in Wi-Fi client association in a dense coexistence deployments while ensuring a fair spectrum access and sharing.…”

Section: Association Issues In Lte-u/wi-fi Coexistencementioning

confidence: 99%

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Heterogenous Networks: From small cells to 5G NR-U

Sathya¹,

Kala²,

Narendran³

2021

Preprint

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With the exponential increase in mobile users, the mobile data demand has grown tremendously. To meet these demands, cellular operators are constantly innovating to enhance the capacity of cellular systems. Consequently, operators have been reusing the licensed spectrum "spatially," by deploying 4G/LTE small cells (e.g., Femto Cells) in the past. However, despite the use of small cells, licensed spectrum will be unable to meet the consistently rising data traffic because of data-intensive applications such as augmented reality/virtual reality (AR/VR) and on-the-go high-definition video streaming. Applications such AR/VR and online gaming not only place extreme data demands on the network, but are also latency-critical. To meet the QoS guarantees, cellular operators have begun leveraging the unlicensed spectrum by coexisting with Wi-Fi in the 5 GHz band. The standardizing body 3GPP, has prescribed cellular standards for fair unlicensed coexistence with Wi-Fi, namely LTE Licensed Assisted Access (LAA), New Radio in unlicensed (NR-U), and NR in Millimeter. The rapid roll-out of LAA deployments in developed nations like the US, offers an opportunity to study and analyze the performance of unlicensed coexistence networks through real-world ground truth. Thus, this paper presents a high-level overview of past, present, and future of the research in small cell and unlicensed coexistence communication technologies. It outlines the vision for future research work in the recently allocated unlicensed spectrum: The 6 GHz band, where the latest Wi-Fi standard, IEEE 802.11ax, will coexist with the latest cellular technology, 5G New Radio (NR) in unlicensed.

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Section: Macromentioning

confidence: 99%

Section: Association Issues In Lte-u/wi-fi Coexistencementioning

confidence: 99%

Heterogenous Networks: From small cells to 5G NR-U

Sathya¹,

Kala²,

Narendran³

2021

Preprint

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“…In order to improve network quality and system throughput, various schemes have been proposed such as PC [9], [10], [18], [19], CA [7], [20]- [24] and joint schemes [14], [16], [25]- [29].…”

Section: Related Workmentioning

confidence: 99%

“…Since the high complexity of the formulated problem, a low-complexity heuristic algorithm has been proposed to select appropriate channels. Kala et al [24] propose a channel allocation performance prediction algorithm with a special emphasis on designing channel allocation schemes which alleviate the impact of interference on Wireless Mesh Network performance. However, techniques for optimizing the performance by considering joint channel allocation and power control are not investigated in these wireless networks.…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we conduct simulations to evaluate the performance of WLAN under different settings. The proposed JPCRL algorithm is compared to three other approaches, CA scheme without PC [24], PC scheme without CA [18], and traditional JPC scheme [15]. The PC scheme without CA means that only the power of all APs is adjusted.…”

Section: Experiments and Evaluationmentioning

confidence: 99%

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Joint Power Control and Channel Allocation for Interference Mitigation Based on Reinforcement Learning

Zhao

et al. 2019

IEEE Access

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In dense Wireless Local Area Networks (WLANs), high-density Access Points (APs) bring severe interference that seriously affects the experience of users, resulting in lower throughput and poor connection quality. Due to the heavy computation workload raised by the sizable networking systems and the difficulty in estimating instantaneous Channel State Information (CSI), existing works are hard to solve interference problem. In this paper, we propose a Joint Power control and Channel allocation based on Reinforcement Learning (JPCRL) algorithm combining with statistical CSI to reduce interference adaptively. Firstly, we analyze the correlation between transmit power and channel, and formulate the interference optimization as a Mixed Integer Nonlinear Programming (MINLP) problem. Secondly, we use the statistical CSI method to take the power and channel state as the state and action space, the overall throughput increment as the reward function of Q-learning, and obtain the optimal joint optimization strategy through off-line training. Moreover, for the periodic reinforcement learning process leading to resource consumption, we design an event-driven mechanism of Q-learning, which triggers online learning to refresh the optimal policy by event-driven condition and the consumption of computing resources can be reduced. The evaluation results show that the proposed algorithm can effectively improve the throughput compared with the existing scheme. INDEX TERMS Interference, throughput, reinforcement learning, channel allocation, power control.

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