Distributed and Autonomous Resource and Power Allocation for Wireless Networks

Abstract

In this paper, a distributed and autonomous technique for resource and power allocation in orthogonal frequency division multiple access (OFDMA) femto-cellular networks is presented. Here, resource blocks (RBs) and their corresponding transmit powers are assigned to the user(s) in each cell individually without explicit coordination between femto-base stations (FBSs). The "allocatability" of each resource is determined utilising only locally available information of the following quantities:• the required rate of the user;• the quality (i.e., strength) of the desired signal;• the level of interference incident on each RB; and• the frequency-selective fading on each RB.Using a fuzzy logic system, the time-averaged values of each of these inputs are combined to determine which RBs are most suitable to be allocated in a particular cell, i.e., which resources can be assigned such that the user requested rate(s) in that cell are satisfied. Furthermore, link adaptation (LA) is included, enabling users to adjust to varying channel conditions. A comprehensive study in a femto-cell environment is performed, yielding system performance improvements in terms of throughput, energy efficiency and coverage over state-of-the-art inter-cell interference coordination (ICIC) techniques. Index Termsautonomous resource allocation, distributed ICIC, fuzzy logic, OFDMA, femto-cellular networks. I. INTRODUCTIONFuture wireless networks are moving towards heterogeneous architectures, where in each cell a user may have over four different types of access points (APs) (e.g., macro-, pico-, femtocells, relays and/or remote radio heads) [1]. Intuitively, this has many positive effects for a September 14, 2018 DRAFT 2 mobile station (MS), which can now choose from several base stations (BSs) to find the most suitable. However, pico-and femto-cellular overlays also imbue many difficulties, e.g., cellorganisation/optimisation, resource assignment to users, and especially interference coordination between APs within the same and neighbouring cells. Standard inter-cell interference coordination (ICIC) techniques based on network architectures [2, 3] only go so far in dealing with these challenges, and hence a new approach is necessary. A. Challenges in Heterogeneous Networks (HetNets)Through the various types, locations and dense deployment of APs, and the different transmissions powers/ranges associated with them, numerous technical challenges are posed by femto/picocell overlays [1,4,5]. These mainly fall into the following areas:• Network self-organisation -Self-configuration and -optimisation are required of all cells.In cellular networks, such organisation can be performed via optimisation techniques [6], however these tasks become increasingly difficult given the additional APs and network parameters to be considered, motivating a distributed configuration approach [7].• Backhauling -Connecting the different BSs to the core-network necessitates extra infrastructure [1]. In the femto-cell case, the long delay of connection via wired backhaul...

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A distributed virtual MIMO coalition formation framework for energy efficient wireless networks

“…Furthermore, it is well known that the use of centralized techniques entails extra implementation costs and an increase in system's complexity [1,20,21]. Thus, the design of effective techniques that allow the single antenna devices to autonomously decide when and with whom to cooperate with the aim of obtaining power savings in the reverse link is a matter of vital importance in communication systems [22,23]. In this regard, game theory provides a powerful mathematical tool for the design of distributed solutions in cooperative communications [5,10,13,22].…”

Spectrum allocation using fuzzy logic with optimal power in wireless network

“…Resource allocation, as one of the challenges for using femtocell network is addressed in [22]. This reference utilizes fuzzy logic system to present an autonomous Resource allocation based on the gathered local information from femto users, such as required rate, quality of signal, fading and interference on each RB.…”

“…This reference utilizes fuzzy logic system to present an autonomous Resource allocation based on the gathered local information from femto users, such as required rate, quality of signal, fading and interference on each RB. However, in [22] the assigned power by fuzzy logic to each RB is half or max. This paper introduces a fuzzy logic base approach to determine the optimal RB assignments for users, to the based on assignments required power.…”

“…This paper introduces a fuzzy logic base approach to determine the optimal RB assignments for users, to the based on assignments required power. In contrast with [22], we calculate power that each RB needs, which is shown to be lower than pervious method. In other words, through simulations we show that the performance of this approach is reasonably close to optimal and it significantly reduces the power usage.…”