Interference Cancellation for MIMO Systems Employing the Generalized Receiver with High Spectral Efficiency

In this paper, we investigate the performan-ce in terms of symbol error probability (SEP) of multipleinput multiple-output (MIMO) systems employing the ge-neralized receiver with high spectral efficiency. In particular, we consider the coherent detection of M-PSK signals in a flat Rayleigh fading environment. We focus on spectrally efficient MIMO systems where after serial-to-parallel con-version, several sub-streams of symbols are simultaneously transmitted by using an antenna array, thereby increasing the spectral efficiency. The reception is based on linear mi-nimum mean-square-error (MMSE) combining, eventually followed by successive interference cancellation. Exact and approximate expressions are derived for an arbitrary nu-mber of transmitting and receiving antenna elements. Sim-ulation results confirm the validity of our analytical meth-odology.

Sub-Optimal Degree Distribution untuk Prioritas Komunikasi Manusia menggunakan Proyeksi EXIT Chart pada Jaringan Masa Depan

ABSTRAKPada jaringan masa depan melibatkan komunikasi antara mesin dan manusia. Penelitian ini mengusulkan konsep coding dalam jaringan menggunakan Maximum Distance Separable (MDS) codes. Desain sub-optimal degree distribution untuk memprioritaskan manusia menggunakan proyeksi EXIT Chart. Pada penelitian ini dasar dari skema multiple akses untuk jaringan super-padat menggunakan Coded Random Access (CRA). Usulan model jaringan menggunakan Binary Erasure Channel (BEC). Evaluasi performansi untuk grup manusia dan mesin diukur berdasarkan throughput dan packet-loss-rate dan hasilnya juga dibuktikan menggunakan frequency-flat Rayleigh fading. Sub-optimal degree distribusi yang diusulkan ℎ􁈺𝑥􁈻􀵌􁈼􁉀􀵫8,2􀵯,1􁉁􁈽 dan Λ 􀯠􁈺𝑥􁈻􀵌􁈼􁉀􀵫3,2􀵯,0.2􁈻,􁈺􀵫4,2􀵯,0.8􁈻􁉁􁈽 dengan hasil throughput sebelum fading Th 􀵌0.35 paket/slot dan Tm 􀵌0.32 paket/slot, sedangkan setelah fading Th 􀵌0.34 paket/slot dan Tm 􀵌0.22 paket/slot.Kata kunci : MDS codes, CRA, human, machines, EXIT chart ABSTRACTFuture wireless network involving machines and human communications.This research proposed new concept of network coding based on Maximum Distance Separable (MDS) codes. Designed optimally sub-optimal degree distribution for prioritizing human using projected EXIT chart. This research fundamental multiple access scheme for wireless super-dense network using Coded Random Access (CRA). In this research, proposed scheme under Binary Erasure Channel (BEC) to model a network. We evaluate the performance for human and machines group in terms of throughput and packet-loss-rate, and the result are then verified using frequency-flat Rayleigh fading. We have proposed sub-optimal degree distributions are Λ ℎ􁈺𝑥􁈻􀵌􁈼􁉀􀵫8,2􀵯,1􁉁􁈽 and Λ 􀯠􁈺𝑥􁈻􀵌􁉄􁉀􀵫3,2􀵯,0.2􁈻,􁈺􀵫4,2􀵯,0.8􁈻􁉁􁉅, the resulting throughput Th 􀵌0.35 packet/slot and Tm 􀵌0.32 packet/slot under fading and without fading Th 􀵌0.34 packet/slot and Tm 􀵌0.22 packet/slot.Keywords: MDS codes, CRA, human, machines, EXIT chart

On the Performance of the DNPS-Based Relay Networks under Masquerading Attack

In the relay networks, two typical issues of physical layer security are selfishness and garbling. As a matter of fact, a certain nontypical but severely harmful misbehavior can also remove the cooperative diversity gain. Here, we coin the masquerading attack to indicate this kind of misbehavior. A masquerade relay can always pretend to be the best one to forward signals and, in consequence, deprive the others of the opportunities to cooperate. To the best of our knowledge, the impact of the masquerading attack has not yet been fully investigated. In this paper, multiple masquerade relays with random masquerading behavior are taken into account. Also, the complete channel effects, including the effects of the flat Rayleigh fading, log-normal shadowing, and path loss, are considered such that the geographical effects of the network topology can be completely captured. At last, the impact of the masquerade relays are evaluated in terms of the outage probability and end-to-end capacity.