PROJECT TITLE :

Cellular Interference Alignment: Omni-Directional Antennas and Asymmetric Configurations

ABSTRACT:

Though interference alignment (IA) can theoretically achieve the optimal degrees of freedom (DoFs) in the $K$ -user Gaussian interference channel, its direct application comes at the prohibitive value of precoding over exponentially several signaling dimensions. On the other hand, it is known that practical one-shot IA precoding (i.e., linear schemes while not symbol enlargement) provides a vanishing DoFs gain in massive totally connected networks with generic channel coefficients. In our previous work, we introduced the concept of cellular IA for a network topology induced by hexagonal cells with sectors and nearest-neighbor interference. Assuming that neighboring sectors can exchange decoded messages (and not received signal samples) within the uplink, we have a tendency to showed that linear one-shot IA precoding over $M$ transmit/receive antennas can achieve the optimal $M/2$ DoFs per user. In this paper, we tend to extend this framework to networks with omni-directional (non-sectorized) cells and take into account a restricted sensible state of affairs where users have two antennas, and base-stations have 2, 3, or 4 antennas. We tend to provide linear one-shot IA schemes for the $2times a pair of$ , $2times three$ , and $2times 4$ cases, and show the achievability of 3/four, 1, and 7/six DoFs per user, respectively. DoFs converses for one-shot schemes require the answer of a discrete optimization drawback over a range of variables that grows with the network size. We tend to develop a replacement approach to rework such optimization downside into a tractable linear program with considerably fewer variables. This approach is us- d to show that three/four DoFs per user are indeed optimal for one-shot schemes over giant (extended) cellular network with $2times 2$ links.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Interference Prediction in Partially Loaded Cellular Networks Using Asymmetric Cost Functions - 2018ABSTRACT:The traffic patterns of users during a base station coupled with the sub-frame blanking due to HetNets
PROJECT TITLE :Distributed Interference Alignment for Multi-Antenna Cellular Networks With Dynamic Time Division Duplex - 2018ABSTRACT:During this letter, we have a tendency to propose a distributed interference alignment (DIA)
PROJECT TITLE :MIMO Radar and Cellular Coexistence: A Power-Efficient Approach Enabled by Interference Exploitation - 2018ABSTRACT:We propose a unique approach to enable the coexistence between Multi-Input-Multi-Output (MIMO)
PROJECT TITLE :Resource Allocation for Device-to-Device Communications Underlaying Heterogeneous Cellular Networks Using Coalitional Games - 2018ABSTRACT:Heterogeneous cellular networks (HCNs) with millimeter wave (mm-wave)
PROJECT TITLE :Feedback Design for Multi-Antenna K -Tier Heterogeneous Downlink Cellular Networks - 2018ABSTRACT:We characterize the ergodic spectral potency of a non-cooperative and a cooperative kind of K -tier heterogeneous

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry