Joint subchannel assignment and power control in OFDMA in‐band full‐duplex heterogeneous networks

Inter cell interference coordination (ICIC) strategies in cellular systems have vital importance for spectrum efficiency in dense urban networks. Frequency reuse and resource allocation approaches are used to overcome the interference and the efficiency problems. Users in the cell edge suffer from low throughput and signal to interference plus noise ratio. Although increasing the transmit power of the BS can be considered as a solution, it also causes ICI. Considering these difficulties, we propose a technique called Experience Based Dynamic Soft Frequency Reuse in the 5G millimeter-wave (mmWave) at 28 GHz band.The first objective of the proposed technique is to minimize the inter cell interference by using Soft Frequency Reuse method. The technique also aims to increase the overall system throughput by using Dynamic Channel Allocation.The third objective is to progress a fairness scheduler algorithm among users by optimizing the base station schedulers, which we call Experience-Based Packet Scheduler. The main purpose of this article is to find the best value for α in order to maximize the average user and cell edge user throughput while considering the users' fairness. Simulations and numerical results show that the proposed algorithm can achieve up to 30% higher performance in terms of the average user throughput rates and has better fairness for lower α values (0.3 and 0.4).

Section: Related Workmentioning

confidence: 99%

Dynamic resource allocation and interference coordination for millimeter wave communications in dense urban environment

Yağcıoğlu¹

2022

“…QoS aspects in FD networks were considered by other works 22‐28 . da Silva et al 22 studied the joint problem of RB assignment, UE pairing, and power allocation as a mixed integer nonlinear problem that was solved by a novel joint fairness assignment maximization algorithm.…”

Section: State‐of‐the‐art and The Main Contributionsmentioning

confidence: 99%

“…Although a heuristic solution was proposed therein, no optimal solution was provided and mode selection was not discussed. The same problem was studied by Rajabi et al 27 in a heterogeneous network, where they invoked variable change and linear approximation to convert the original problem into a tractable mixed‐integer linear programming. Finally, Yu et al 28 formulated a joint UE scheduling, and channel allocation problem to maximize the total data rate with individual data rate requirements.…”

Section: State‐of‐the‐art and The Main Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Rate maximization in full‐duplex systems: Gains and complexity of employing adaptive power allocation in downlink and/or uplink

Braga

Lima

Maciel

et al. 2021

The next generations of mobile communications should deal with a set of new use cases, leading to a higher demand for spectral efficiency. Full-duplex (FD) arises as a promising technology since it has the potential to double the system capacity without additional spectrum. However, FD networks are hindered by self-interference (SI) and co-channel interference caused by the reuse of frequency resources. Therefore, radio resource allocation (RRA) in FD networks by means of user pairing, frequency assignment, and power allocation are of utmost importance in order to improve spectral/energy efficiency and ensure quality of service (QoS). Although previous works investigated RRA to improve spectral

“…These applications need a higher quality of service (QoS) and more communication resources than traditional applications 1 . Over the past few years, with the increasing popularity of smart‐phones and devices with powerful multimedia capabilities, the amount of data traffic has been doubled every year 2 . Recent research has indicated that more than 80% of mobile traffic is originated at home or work, but about half of these premises suffer from poor indoor coverage 3 .…”

Section: Introductionmentioning

confidence: 99%

A novel approach on femtocell placement in the commercial buildings using genetic algorithm

Javad

BorujeniShahram

2021

The femtocell networks have been developed to solve the indoor coverage issues. In the large commercial buildings, finding the minimum number of femtocells and their locations with a full coverage of the building is a complicated problem. This article attempts to minimize the number of femtocells in a large building while providing maximum coverage. In this article, the locations of the femtocells are determined such that the total number of handovers in the building is minimal. For this purpose, the building area is divided into small and equal‐sized subregions, and a femtocell matrix coverage is obtained for each subregion using the path‐loss equation. We utilize the femtocell matrix coverage and propose a mathematical model to minimize the number of femtocells with a maximum (almost complete) coverage of the building area. We employ the genetic algorithm to solve this NP‐hard problem. An efficient algorithm is also presented to create the initial population for the genetic algorithm. Based on the past behavior of the users, we select the locations for the femtocells to reduce the number of handovers. Numerical results indicate that with almost complete coverage, our proposed method reduces the femtocell counts up to 55% and reduces the number of handovers up to 30% compared with the previous work.