Minimizing electromagnetic pollution and power consumption in green heterogeneous small cell network deployment

2017 ◽  
Vol 129 ◽  
pp. 536-547 ◽  
Author(s):  
Chun-Cheng Lin ◽  
Ching-Tsorng Tsai ◽  
Der-Jiunn Deng ◽  
I-Hsin Tsai ◽  
Shun-Yu Jhong
Keyword(s):  
Power Consumption ◽  
Small Cell ◽  
Cell Network ◽  
Small Cell Network ◽  
Electromagnetic Pollution

scholarly journals Joint Antenna Selection and Precoding Optimization for Small-Cell Network with Minimum Power Consumption

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Qiang Sun ◽  
Xin Wang ◽  
Jue Wang ◽  
Chen Xu
Keyword(s):  
Computational Complexity ◽  
Power Consumption ◽  
Antenna Selection ◽  
Minimum Mean Square Error ◽  
Optimization Algorithms ◽  
Optimal Solution ◽  
Small Cell ◽  
Cell Network ◽  
Small Cell Network ◽  
Circuit Power

We focus on the power consumption problem for a downlink multiuser small-cell network (SCN) considering both the quality of service (QoS) and power constraints. First based on a practical power consumption model taking into account both the dynamic transmit power and static circuit power, we formulate and then transform the power consumption optimization problem into a convex problem by using semidefinite relaxation (SDR) technique and obtain the optimal solution by the CVX tool. We further note that the SDR-based solution becomes infeasible for realistic implementation due to its heavy backhaul burden and computational complexity. To this end, we propose an alternative suboptimal algorithm which has low implementation overhead and complexity, based on minimum mean square error (MMSE) precoding. Furthermore, we propose a distributed correlation-based antenna selection (DCAS) algorithm combining with our optimization algorithms to reduce the static circuit power consumption for the SCN. Finally, simulation results demonstrate that our proposed suboptimal algorithm is very effective on power consumption minimization, with significantly reduced backhaul burden and computational complexity. Moreover, we show that our optimization algorithms with DCAS have less power consumption than the other benchmark algorithms.

scholarly journals A Comparative Analysis of Wi-Fi Offloading and Cooperation in Small-Cell Network

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1493
Author(s):  
Ayesha Ayub ◽  
Sobia Jangsher ◽  
M. Majid Butt ◽  
Abdur Rahman Maud ◽  
Farrukh A. Bhatti
Keyword(s):  
Small Cell ◽  
Base Stations ◽  
Small Cells ◽  
Effective Capacity ◽  
Rate Enhancement ◽  
Cell Network ◽  
Small Cell Network ◽  
User Throughput ◽  
Average User ◽  
Cell Cooperation

Small cells deliver cost-effective capacity and coverage enhancement in a cellular network. In this work, we present the interplay of two technologies, namely Wi-Fi offloading and small-cell cooperation that help in achieving this goal. Both these technologies are also being considered for 5G and B5G (Beyond 5G). We simultaneously consider Wi-Fi offloading and small-cell cooperation to maximize average user throughput in the small-cell network. We propose two heuristic methods, namely Sequential Cooperative Rate Enhancement (SCRE) and Sequential Offloading Rate Enhancement (SORE) to demonstrate cooperation and Wi-Fi offloading, respectively. SCRE is based on cooperative communication in which a user data rate requirement is satisfied through association with multiple small-cell base stations (SBSs). However, SORE is based on Wi-Fi offloading, in which users are offloaded to the nearest Wi-Fi Access Point and use its leftover capacity when they are unable to satisfy their rate constraint from a single SBS. Moreover, we propose an algorithm to switch between the two schemes (cooperation and Wi-Fi offloading) to ensure maximum average user throughput in the network. This is called the Switching between Cooperation and Offloading (SCO) algorithm and it switches depending upon the network conditions. We analyze these algorithms under varying requirements of rate threshold, number of resource blocks and user density in the network. The results indicate that SCRE is more beneficial for a sparse network where it also delivers relatively higher average data rates to cell-edge users. On the other hand, SORE is more advantageous in a dense network provided sufficient leftover Wi-Fi capacity is available and more users are present in the Wi-Fi coverage area.

scholarly journals Collective Growth in a Small Cell Network

2017 ◽  
Vol 27 (17) ◽  
pp. 2670-2676.e4 ◽  
Author(s):  
Jasmin Imran Alsous ◽  
Paul Villoutreix ◽  
Alexander M. Berezhkovskii ◽  
Stanislav Y. Shvartsman
Keyword(s):  
Small Cell ◽  
Cell Network ◽  
Small Cell Network
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