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4 publications found

Hybrid Learning Framework for Throughput Enhancement in IoT Networks with Semi-Grant-Free NOMA

Muhammad Fayaz, Sohail Abbas, Abdullah Alajmi, Abdulrahman Ghandoura, Subramaniam Thayaparan, Arumugam Nallanathan

Journal IEEE Transactions on Cognitive Communications and Networking · 2026 · Cited by 0

Wireless CommunicationsInternet of Things and Sensor NetworksNetwork Optimization and Intelligence

Abstract

Semi-grant-free non-orthogonal multiple access (SGF-NOMA) schemes group one grant-based (GB) user with multiple grant-free (GF) users into one time/frequency resource block (RB) to enhance spectral efficiency. Due to the sporadic traffic of GF users and the stringent quality of service (QoS) requirement of the GB user, the access collision problem becomes severe in SGF-NOMA. To solve this problem, this paper firstly designs an RB-based power pool (PP), which directs GF users to adjust their transmit power without disrupting the ongoing transmission of the internal GB user. After that, this work proposes an efficient multi-agent deep reinforcement learning (MA-DRL) framework to jointly optimize the PP and access strategy for maximizing the network throughput. In particular, this work exploits the fast-response feature of the traditional competitive MA-DRL and the increased-performance feature of the …

Clutter-Aware Active-RIS-Assisted ISAC: A Joint Optimization Framework for Sensing and Communication

Christ Clenson, Nirushtihan Baskaran, Samiru Gayan, Hazer Inaltekin, Shalanika Dayarathna, Ruhui Zhang

Journal IEEE Open Journal of the Communications Society · 2026 · Cited by 0

Wireless CommunicationsNetwork Optimization and IntelligenceArray and Radar Signal Processing

Abstract

This paper characterizes the communication–sensing rate tradeoff of an active reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication system operating under residual environmental clutter. The BS beamformer and active-RIS coefficients are jointly designed while accounting for amplifier noise on the forward and return sensing paths, a global RIS power budget, and perelement amplification limits. Residual clutter introduces a beamformer-dependent term in the sensing denominator, leading to a generally indefinite, nonconvex sensing-QoS constraint in the communication-centric (C-C) design and a fractional quadratic beamformer objective in the sensing-centric (S-C) design. We develop alternating optimization procedures for both formulations based on established MM, Kronecker-vectorization, and Dinkelbach techniques. Their QoS-threshold sweeps are refined and filtered to …

Sum-Rate Maximization in Movable RIS-Assisted MIMO Systems

Thaveesha Wathudura, Chanula Luckshan, Ruhui Zhang, Samiru Gayan, Hazer Inaltekin

Conference ICC 2026 IEEE/CIC International Conference on Communications in China (ICCC) , pp. 581-586 · 2026 · Cited by 0

Wireless CommunicationsNetwork Optimization and Intelligence

Abstract

This paper investigates sum-rate maximization in a multi-user downlink system assisted by a movable RIS (MRIS) under dynamic blockage conditions. Unlike conventional fixed RIS (FRIS) deployments, the RIS is modeled as a rigid panel whose anchor position can be continuously adjusted within a predefined region, introducing an additional spatial degree of freedom. In practical environments, temporary blockages arise from moving objects or environmental changes, significantly degrading communication links. To capture this effect, a geometric blockage model is incorporated into the RIS-to-user channels, where propagation paths are selectively obstructed based on line-of-sight conditions. The base station-to-RIS channel is modeled using a field-response-based multipath formulation, while RIS-to-user links follow distance-dependent path loss with phase propagation. For a fixed position, a common RIS …

Quantization-Aware Uplink Resource Allocation Rules for Low-Resolution Orthogonal Multiple Access

Chanula Luckshan, Samiru Gayan, Hazer Inaltekin, Shalanika Dayarathna, Wonjae Shin

Journal IEEE Open Journal of the Communications Society · 2026 · Cited by 0

Wireless CommunicationsCommunication Theory and CodingNetwork Optimization and Intelligence

Abstract

Low-resolution digital-to-analog converters (DACs) and analog-to-digital converters (ADCs) are important enablers of energy-efficient wideband uplinks, but they introduce nonlinear distortions whose impact depends on the operating point and, in multi-user systems, on the time- and frequency-resource split. This paper studies quantization-aware uplink resource allocation for multi-user orthogonal multiple access (OMA), focusing on frequency division multiple access (FDMA) and time division multiple access (TDMA) with finite-resolution quantization at both the user transmitters and the base station receiver. Using Bussgang-style decompositions for power-preserving DAC quantization and mid-point ADC quantization, we derive a closed-form, conservative lower bound on the per-user achievable rate in terms of the allocation variables, channel gains, noise level, and quantization distortion factors. Under this …