Abstract
Device to device (D2D) underlying massive MIMO cellular network is a robust deployment which enables network to enhance its throughput. It also improves services and applications for the proximity-based wireless communication. However, an important challenge in such deployment is mutual interference. Interference, in the uplink spectrum, reusing the same resource with cellular user, is caused by D2D users. In this paper, we study a distributed power control (DPC) algorithm, using minimum mean square error (MMSE) filter in receiver, to mitigate the produced interference in this deployment scenario. For the DPC algorithm, employing the coverage probability of D2D links, an optimal power control approach is proposed, which maximizes the spectral efficiency of D2D links. Using this modeling approach, it is possible to derive closed-form analytical expressions for the coverage probabilities and ergodic spectral efficiency, which give insight into how the various network parameters interact and affect the link. Also, the DPC algorithm is modeled by stochastic geometry and receiver filter is designed by estimation theory that a new structure in this robust network is an approach to improve spectral efficiency. Simulation results illustrate enhancing coverage probability performance of D2D links in term of the target (signal to interference ratio) SIR with respect to different receiver filter and other parameters which are existing in D2D links.
Highlights
Based on the fifth generation public private partnership (5G-PPP), power consumption is a key performance indicator (KPI) in 5G wireless mobile network. This is declined by many preparations, such as power control (PC) scheme and received filter designed, which result in power efficiency and spectral efficiency enhancement [2]
Since we want to show the presence of the receiver filter along with the power control method to improve the simulation curve, we introduced the density of D2D users with very small changes in the surface of a circular cell with radius of 1× m
Since minimum mean square error (MMSE) is based on the estimation theory and the model of PC is according to stochastic geometry
Summary
Based on the fifth generation public private partnership (5G-PPP), power consumption is a key performance indicator (KPI) in 5G wireless mobile network. The authors in [30] derived a closed-form spectral efficiency lower bound for the CUE and DUE under impact CSI with maximum-ratio and zero-forcing processing They used several data PC problems using SE expressions and using convex optimization, they solved them. In paper [31], the authors constructed a framework for the joint pilot and data PC for the sum SE maximization in uplink cellular Massive MIMO systems with a variable number of active users. This is a non-convex problem to overcome the inherent nonconvexity, an equivalent problem with element-wise convex structure was derived. The authors used distance-based path-loss parameters (with error margin), varying target SINR in a D2D underlaid cellular system modeled as a random network
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