Exploring the Impact of Power Control Strategies for Enhanced IoT Connectivity in Massive MIMO

Lee, Byung Moo

doi:10.1109/jiot.2023.3299382

Cited by 7 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the context of cellular IoT and massive MIMO networks, the problem can be approached using methods such as Channel Inversion, which adjusts the transmitted power inversely proportional to the channel gain. An alternative approach is the Max Min power control scheme, for which the main idea is to find an optimal power allocation strategy that maximizes the minimum SNR among all users [32]. However, transmission power control is fundamentally more challenging in a multihop mesh network with the presence of a routing protocol.…”

Section: Applications Of Reinforcement Learning In Link Quality Estim...mentioning

confidence: 99%

ACTOR: Adaptive Control of Transmission Power in RPL

Rabet,

Fotouhi,

Alves

et al. 2024

Sensors

View full text Add to dashboard Cite

RPL—Routing Protocol for Low-Power and Lossy Networks (usually pronounced “ripple”)—is the de facto standard for IoT networks. However, it neglects to exploit IoT devices’ full capacity to optimize their transmission power, mainly because it is quite challenging to do so in parallel with the routing strategy, given the dynamic nature of wireless links and the typically constrained resources of IoT devices. Adapting the transmission power requires dynamically assessing many parameters, such as the probability of packet collisions, energy consumption, the number of hops, and interference. This paper introduces Adaptive Control of Transmission Power for RPL (ACTOR) for the dynamic optimization of transmission power. ACTOR aims to improve throughput in dense networks by passively exploring different transmission power levels. The classic solutions of bandit theory, including the Upper Confidence Bound (UCB) and Discounted UCB, accelerate the convergence of the exploration and guarantee its optimality. ACTOR is also enhanced via mechanisms to blacklist undesirable transmission power levels and stabilize the topology of parent–child negotiations. The results of the experiments conducted on our 40-node, 12-node testbed demonstrate that ACTOR achieves a higher packet delivery ratio by almost 20%, reduces the transmission power of nodes by up to 10 dBm, and maintains a stable topology with significantly fewer parent switches compared to the standard RPL and the selected benchmarks. These findings are consistent with simulations conducted across 7 different scenarios, where improvements in end-to-end delay, packet delivery, and energy consumption were observed by up to 50%.

show abstract

Section: Applications Of Reinforcement Learning In Link Quality Estim...mentioning

confidence: 99%

ACTOR: Adaptive Control of Transmission Power in RPL

Rabet,

Fotouhi,

Alves

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Therefore, new techniques in designing the communication systems are emerging to solve the power/bandwidth problems. These techniques are trying to distribute the power over multiple paths to reduce its intensity or increasing the transmitter directivity to maximize the received power [16][17][18][19][20][21]. The latest attempt in this field is the Index Modulation (IM).…”

mentioning

confidence: 99%

Upgrading SIM–OFDM Using a Threshold for Correct Operation with Analytical Proofs

Jabbar,

Almuraab,

Kadhim

2023

JCOMSS

View full text Add to dashboard Cite

A new upgrade to the SIM-OFDM is suggested to solve a critical problem that crashes the system even over noiseless channel. This problem is the interference of the zeros at the IFFT output with the BOOK's zeros that confuses the receiver during demodulation which leads to BER accumulation. The suggested solution is to use a threshold to differentiate the data carried by the BOOK from the IFFT's symbols. The new system is called Threshold SIM-OFDM (TSIM-OFDM). The mathematical analysis of TSIM-OFDM proves it operates normally and meets the theoretical bounds. The TSIM-OFDM preserves the probability of 1 equal to ½. This preservation comes from the direct connection of the ON/OFF switching bits to the subcarrier which overrides the majority condition. This new switching technique simplifies the system operation resulting in higher transmission speed and increased spectral and power efficiency. A simple approach to derive the BER for the SIM-OFDM is presented which proves that the SIM-OFDM will never reach zero BER level unlike the TSIM-OFDM. The simulation results show that the TSIM-OFDM BER reaches zero level and the output power is almost half of the OFDM. Adding the threshold will increase the transmitted power slightly and tends to decrease with the increase of IFFT length. Index terms-SIM-OFDM, multicarrier OFDM, low transmission power communication, green communication system, high spectral efficiency communication, low complexity SIM-OFDM. I. INTRODUCTIONThe communication systems are playing a major role in the development and progress of modern societies. These communication systems orchestrate multiple life aspects like e-commerce, e-health, exchanging expertise among scholars, connecting people via social networks even managing military sensitive operations [1-10]. Hence, they face many challenges especially the data load that is increasing exponentially each year [11]. To handle such massive data loads, the communication systems should increase the transmission power and/or bandwidth.The available spectrum for transmission has become scarce and valuable due to extensive usage. Also, the high-power and Manuscript

show abstract