1 code implementation • 25 Jan 2024 • Ramprasad Raghunath, Bile Peng, Eduard A. Jorswieck
Our aim is to achieve a less complex, distributed and scalable solution.
no code implementations • 20 Dec 2023 • Mina Khadem, Maryam Ansarifard, Nader Mokari, Mohammadreza Javan, Hamid Saeedi, Eduard A. Jorswieck
We first propose a novel greedy algorithm, named market share based weighted greedy algorithm (MSWGA) to achieve better fairness compared to the traditional auction methods and as the second approach, we exploit deep reinforcement learning (DRL) algorithms, to optimize the auction policy and demonstrate its superiority over other methods.
1 code implementation • 1 May 2023 • Finn Siegismund-Poschmann, Bile Peng, Eduard A. Jorswieck
Nonorthogonal multiple access (NOMA) with multi-antenna base station (BS) is a promising technology for next-generation wireless communication, which has high potential in performance and user fairness.
1 code implementation • 1 May 2023 • Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Vahid Jamali, Eduard A. Jorswieck
Two major challenges of this problem are the high dimensionality due to the large number of RIS elements and the difficulty to obtain the full channel state information (CSI), which is assumed known in many algorithms proposed in the literature.
no code implementations • 1 May 2023 • Maryam Ansarifard, Nader Mokari, Mohammadreza Javan, Hamid Saeedi, Eduard A. Jorswieck
In particular, the problem is formulated to minimize the average AoI of users with elastic tasks, by adjusting UAVs trajectory and resource allocation on both UAVs and HAP, which is restricted by the channel state information (CSI) uncertainty and multiple resource constraints of UAVs and HAP.
no code implementations • 16 Feb 2023 • Siddarth Marwaha, Eduard A. Jorswieck, Mostafa Jassim, Thomas Kuerner, David Lopez Perez, Xilnli Geng, Harvey Bao
However, the joint optimization of spectral PRB allocation and spatial layering in a heterogeneous network has not been completely solved yet.
no code implementations • 9 Feb 2023 • Ali Nouruzi, Atefeh Rezaei, Ata Khalili, Nader Mokari, Mohammad Reza Javan, Eduard A. Jorswieck, Halim Yanikomeroglu
To this end, we introduce a new metric, i. e., throughput-overhead-complexity (TOC), for the proposed machine learning-based algorithm, which supports a trade-off between these performance indicators.
no code implementations • 6 Dec 2022 • Bile Peng, Finn Siegismund-Poschmann, Eduard A. Jorswieck
The RIS optimization is designed according to the RIS property of product and direct channel and homogeneous RIS antennas.
1 code implementation • 25 Nov 2022 • Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Eduard A. Jorswieck
This optimization problem is non-convex and its global optimum is difficult to find.
no code implementations • 19 Jun 2022 • Marjan Tajik, Mohammadreza Maleki, Nader Mokari, Mohammad Reza Javan, Hamid Saeedi, Bile Peng, Eduard A. Jorswieck
Using UAVs and BS jointly with MEC can reduce AoI on the network.
no code implementations • 18 Feb 2022 • Ali Nouruzi, Atefeh Rezaei, Ata Khalili, Nader Mokari, Mohammad Reza Javan, Eduard A. Jorswieck, Halim Yanikomeroglu
In this paper, our aim is to make the network more scalable and more flexible in terms of achievable data rate, overhead, and complexity indicators.
no code implementations • 10 Feb 2022 • Amir Gharehgoli, Ali Nouruzi, Nader Mokari, Paeiz Azmi, Mohamad Reza Javan, Eduard A. Jorswieck
Then, we compare the RDPG method in different scenarios with soft actor-critic (SAC), deep deterministic policy gradient (DDPG), distributed, and greedy algorithms.
no code implementations • 8 Jan 2022 • Bile Peng, Jan-Aike Termöhlen, Cong Sun, Danping He, Ke Guan, Tim Fingscheidt, Eduard A. Jorswieck
The rectangular shape of the RIS and the spatial correlation of channels with adjacent RIS antennas due to the short distance between them encourage us to apply it for the RIS configuration.
no code implementations • 6 Nov 2021 • Hussein M. Hariz, Saeed Sheikhzadeh, Nader Mokari, Mohammad R. Javan, B. Abbasi-Arand, Eduard A. Jorswieck
In this paper, we consider that the unmanned aerial vehicles (UAVs) with attached intelligent reflecting surfaces (IRSs) play the role of flying reflectors that reflect the signal of users to the destination, and utilize the power-domain non-orthogonal multiple access (PD-NOMA) scheme in the uplink.
no code implementations • 6 Nov 2021 • Mohammad Reza Maleki, Mohammad Robat Mili, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck
UAVs can move in 3-dimensional (3D) at a constant acceleration, where a central server is responsible for synchronization and cooperation among UAVs.
no code implementations • 13 Jul 2021 • Narges Gholipoor, Ali Nouruzi, Shima Salarhosseini, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck
To this end, we formulate an optimization problem in which power and spectrum resources are allocated in the radio part.
no code implementations • 30 Jun 2021 • Saeed Sheikhzadeh, Mohsen Pourghasemian, Mohammad R. Javan, Nader Mokari, Eduard A. Jorswieck
Using power-domain non-orthogonal multiple access technique, the SAP helps the primary network to improve the security of data transmission by using the frequency band of the primary network.
no code implementations • 10 May 2021 • Mohammad Parvini, Mohammad Reza Javan, Nader Mokari, Bijan Abbasi, Eduard A. Jorswieck
Hence, we exploit a distributed resource allocation framework based on multi-agent reinforcement learning (MARL), where each platoon leader (PL) acts as an agent and interacts with the environment to learn its optimal policy.
1 code implementation • 9 Feb 2021 • Sepehr Rezvani, Eduard A. Jorswieck, Nader Mokari, Mohammad R. Javan
In this work, we propose a globally optimal joint successive interference cancellation (SIC) ordering and power allocation (JSPA) algorithm for the sum-rate maximization problem in downlink multi-cell non-orthogonal multiple access (NOMA) systems.
Information Theory Information Theory 90C11 G.1.6
2 code implementations • 4 Feb 2021 • Karl-Ludwig Besser, Pin-Hsun Lin, Eduard A. Jorswieck
Based on a systematic copula approach, we show that there exists a set of dependency structures for which positive ZOCs can be achieved for both maximum ratio combining (MRC) and selection combining (SC).
Information Theory Information Theory
no code implementations • 20 Jan 2021 • Mohammad Shehab, Hirley Alves, Eduard A. Jorswieck, Endrit Dosti, Matti Latva-aho
Effective Capacity defines the maximum communication rate subject to a specific delay constraint, while effective energy efficiency (EEE) indicates the ratio between effective capacity and power consumption.
Information Theory Information Theory
no code implementations • 14 Jul 2019 • Abolfazl Zakeri, Narges Gholipoor, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck
Simulation results demonstrate that the proposed heuristic algorithm and framework outperforms the existing ones by 34% on average in cost reduction.
1 code implementation • 17 Dec 2018 • Bho Matthiesen, Alessio Zappone, Karl-L. Besser, Eduard A. Jorswieck, Merouane Debbah
Specifically, thanks to its reduced complexity, the proposed method can be used to train an artificial neural network to predict the optimal resource allocation.