1 citations · 1 across the 2 of their papers we have counts for
6 papers
Instantaneous Channel Oblivious Phase Shift Design for an IRS-Assisted SIMO System with Quantized Phase Shift
Shashank Shekhar, Athira Subhash, Tejesh Kella +1
We design the phase shifts of an intelligent reflecting surface (IRS)-assisted single-input-multiple-output communication system to minimize the outage probability (OP) and to maxi…
Outage Probability Expressions for an IRS-Assisted System with and without Source-Destination Link for the Case of Quantized Phase Shifts in fading
Mavilla Charishma, Athira Subhash, Shashank Shekhar +1
In this work, we study the outage probability (OP) at the destination of an intelligent reflecting surface (IRS) assisted communication system in a fading environment. A prac…
Cooperative relaying in a SWIPT network:Asymptotic analysis using extreme value theory for non-identically distributed RVs
Athira Subhash, Sheetal Kalyani
This paper derives the distribution of the maximum end-to-end (e2e) signal to noise ratio (SNR) in an opportunistic relay selection based cooperative relaying (CR) network having l…
Transmit Power Policy and Ergodic Multicast Rate Analysis of Cognitive Radio Networks in Generalized Fading
Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani +1
This paper determines the optimum secondary user power allocation and ergodic multicast rate of point-to-multipoint communication in a cognitive radio network in the presence of ou…
Joint power and resource allocation of D2D communication with low-resolution ADC
Muralikrishnan Srinivasan, Athira Subhash, Sheetal Kalyani
This paper considers the joint power control and resource allocation for a device-to-device (D2D) underlay cellular system with a multi-antenna BS employing ADCs with different res…
Asymptotic maximum order statistic for SIR in shadowed fading
Athira Subhash, Muralikrishnan Srinivasan, Sheetal Kalyani
Using tools from extreme value theory (EVT), it is proved that, when the user signal and the interferer signals undergo independent and non-identically distributed (i.n.i.d.) …