Autonomous and dynamic inter-cell interference coordination techniques for future wireless networks

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

Lagrange

2021

Self Cite

In wireless networks, the transmission efficiency is highly impacted by attenuations such as: path-loss, shadowing, multi-path fading and interference. At cell edges, mobiles are far from their access point and close to neighboring cells, leading to high path-loss and high magnitude of interference. Consequently, ensuring high spectral efficiency is necessary to guarantee an appropriate Quality of Service (QoS), especially at edges. To cope with this crucial issue, this work investigates the benefits of the Joint Transmission Coordinated Multi-Point (JT-CoMP) clustering to mitigate Inter Cell Interference (ICI). This paper proposes the Hybrid Joint-Transmission Coordinated MultiPoint algorithm (H-JT-CoMP). This solution dynamically performs its ICI management according to the Chanel State Information (CSI). This allows to make a wise CoMP usage according to the magnitude of interference received. Performance evaluation highlights an increased QoS and system capacity with a better fairness between inner and edges of the cell.

Section: Hybrid Joint-transmission Coordinated Multi-point Solution (H-jt-comp) a Channel Modelmentioning

confidence: 99%

Section: Operation Modementioning

confidence: 99%

Hybrid Joint-Transmission Multi-Point Coordination for Inter-Cell Interference Management

Merlhe

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

Lagrange

2021

Self Cite

“…where P i n and P j n are respectively the transmitted power on sub-carrier n of RRH i and the transmitted power on subcarrier n of the interfering RRH j that belongs to the set C. G j k,n is the channel gain between the mobile k and RRH j, the parameter N 0 is the thermal noise power density, and B sub is the sub-carrier spacing [17].…”

Section: A Cell-less Modelmentioning

confidence: 99%

Dynamic Cell-Less Radio Access Network Meta-Scheduler for High System Capacity Increase

Merlhe

2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)

2020

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Radio resources are limited and subject to interferences, multi-path fading, shadowing and path-loss which highly impact the transmission efficiency. Optimizing the usage of these resources is the main issue in wireless networks. The resource management can be performed at different levels: in intracellular context, it is carried out by scheduling algorithms while in multi-cellular context, it is done by interference management strategies. This paper aims to merge these two steps. The proposed solution is compatible with the most acknowledged schedulers in order to optimize spectrum usage in intra-cell domain while efficiently decreasing the interferences in multicell domain. An innovative strategy is to consider the network as an "hyper-cell" rather than a sum of cells quite independent. This strategy often called "Cell-less" is especially effective in a Cloud Radio Access Network (C-RAN) architecture because it allows to centralize the decision making. This is more suitable for interference management as it provides a better flexibility to the system by retrieving and managing data from several cells that allows an overall performance increase. The proposed solution called Dynamic Cell-less Radio Access Network Meta-Scheduler (DC-RAN-MS) dynamically handles for each cell the management of radio resources depending on the interferences potentially experienced by users. Performance evaluation shows that the DC-RAN-MS offers an increased system capacity by optimizing the usage of bandwidth while reducing the magnitude of interferences received.

“…where m k,n is the maximum number of bits that can be transmitted over RU n if allocated to mobile k. This value is computed as a function of user k radio conditions as detailed in subsection III-A. The parameter D k is the average throughput provided by the scheduler to user k during the last scheduling periods [7]. The frame generated by each BBU is composed by N RU resource units.…”

Section: A the C-ran Modelmentioning

confidence: 99%

“…where P i n and P j n are respectively the transmitted power on subcarrier n of RRH i and the transmitted power on subcarrier n of the interfering RRH j that belongs to the cluster C . Also, G j k,n is the channel gain between UE k and RRH j, the parameter N 0 is the thermal noise power density, and B sub is the subcarrier spacing [7].…”

Section: Performance Evaluation a The Channel Modelmentioning

confidence: 99%

A dynamic transmission strategy based on network slicing for cloud radio access networks

Ezzaouia

2018 Wireless Days (WD)

Helou

et al. 2018

Self Cite

The Cloud Radio Access Network (C-RAN) has clearly emerged as a promising evolution of wireless networks. This architecture consists in decoupling the baseband units (BBUs) from the remote radio heads (RRHs). The BBUs are pooled in the same centralized BBU pool, while the RRHs are distributed through different distant sites. Typically, the one-toone logical mapping consists in assigning one BBU to one RRH so that distinct frames are generated for each RRH. Also, a logical mapping of one BBU to many RRHs could be established in order to deliver the same frames of a single BBU to a cluster of RRHs. Motivated by the network slicing concept, we propose a hybrid transmission strategy where the resource units (RUs) of each frame are partitioned in two slices. The first one constitutes the unshared slice and is allocated to the cell center users (CCUs) according to the one-to-one logical mapping. The second slice is constituted by a quantity of RUs shared by a cluster of RRHs that belong to the same BBU. This last common slice is transmitted according to the one-to-many mapping in order to be allocated to the cell edge users (CEUs) and to the mobile users (MUs). We also present a flexible solution that dynamically adjusts the BBU-RRH mapping scheme (i.e., one-to-one, one-to-many or hybrid) based on the radio resource usage of BBUs. On the one hand, our proposed solution achieves close packet delay to the one-toone configuration, while providing lower power consumption and handover frequency. On the other hand, in comparison with the one-to-many configuration, our technique provides lower packet delay and subsequently better Quality of Service (QoS).